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OSW
{'date': '2018-01-02', 'ticker': 'OSW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.5600004196167, 'high': 9.5600004196167, 'open': 9.5600004196167, 'close': 9.5600004196167, 'ema_50': 6.670991050919465, 'rsi_14': 85.71409108867726, 'target': 9.5600004196167, 'volume': 0.0, 'ema_200': 2.4772571068033784, 'adj_close': 9.53729248046875, 'rsi_lag_1': 58.25247213066283, 'rsi_lag_2': 58.25247213066283, 'rsi_lag_3': 65.87294979602076, 'rsi_lag_4': 54.736736435275986, 'rsi_lag_5': 29.714279486214622, 'macd_lag_1': 0.9457504596788873, 'macd_lag_2': 1.0112178635775635, 'macd_lag_3': 1.080069453810749, 'macd_lag_4': 1.1522390187438543, 'macd_lag_5': 1.2307501644229806, 'macd_12_26_9': 0.8836805511009622, 'macds_12_26_9': 1.1789350759662567}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.5600004196167, '2018-01-04': 9.5600004196167, '2018-01-05': 9.5600004196167, '2018-01-08': 9.5600004196167, '2018-01-09': 9.5600004196167, '2018-01-10': 9.5600004196167, '2018-01-11': 9.5600004196167, '2018-01-12': 9.5600004196167, '2018-01-16': 9.5600004196167}, '1_month_later': {'2018-02-02': 9.564000129699709}, '3_months_later': {'2018-04-02': 9.59000015258789}, '6_months_later': {'2018-07-02': 9.760000228881836}, '12_months_later': {'2019-01-02': 10.039999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPH
{'date': '2018-01-02', 'ticker': 'PPH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/news/3320699-u-s-drug-approvals-highest-21-years?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'U.S. drug approvals highest in 21 years', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.45000076293945, 'high': 60.29999923706055, 'open': 59.45000076293945, 'close': 60.29999923706055, 'ema_50': 57.91395963083869, 'rsi_14': 66.79534518589652, 'target': 60.65999984741211, 'volume': 18700.0, 'ema_200': 56.980615940413095, 'adj_close': 57.47942733764648, 'rsi_lag_1': 63.63636363636363, 'rsi_lag_2': 74.33627661341396, 'rsi_lag_3': 77.07641048648128, 'rsi_lag_4': 71.93798312071587, 'rsi_lag_5': 67.53843156265074, 'macd_lag_1': 0.742903766438765, 'macd_lag_2': 0.7936259891601196, 'macd_lag_3': 0.8193313833461957, 'macd_lag_4': 0.833096024694747, 'macd_lag_5': 0.8283652892008249, 'macd_12_26_9': 0.77367218202685, 'macds_12_26_9': 0.7581118956025527}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 60.65999984741211, '2018-01-04': 60.91999816894531, '2018-01-05': 61.34999847412109, '2018-01-08': 61.11000061035156, '2018-01-09': 61.470001220703125, '2018-01-10': 61.33000183105469, '2018-01-11': 62.27000045776367, '2018-01-12': 62.86000061035156, '2018-01-16': 62.7599983215332}, '1_month_later': {'2018-02-02': 60.66999816894531}, '3_months_later': {'2018-04-02': 54.84000015258789}, '6_months_later': {'2018-07-02': 58.93999862670898}, '12_months_later': {'2019-01-02': 55.060001373291016}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPG
{'date': '2018-01-02', 'ticker': 'PPG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/m-a/18/01/10975705/ppg-reports-purchase-of-procoatings-no-terms-disclosed', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'PPG Reports Purchase Of ProCoatings, No Terms Disclosed', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 116.80999755859376, 'high': 118.0, 'open': 116.9800033569336, 'close': 118.0, 'ema_50': 115.21756401648432, 'rsi_14': 64.180953153753, 'target': 118.19000244140624, 'volume': 935200.0, 'ema_200': 110.1818714986977, 'adj_close': 112.94827270507812, 'rsi_lag_1': 56.215495084613615, 'rsi_lag_2': 57.48587266214654, 'rsi_lag_3': 52.31478374512124, 'rsi_lag_4': 46.55928151739239, 'rsi_lag_5': 40.92716998520587, 'macd_lag_1': 0.3199918147987688, 'macd_lag_2': 0.296396948148157, 'macd_lag_3': 0.22633388173964875, 'macd_lag_4': 0.20285219704355484, 'macd_lag_5': 0.19131217612986973, 'macd_12_26_9': 0.4289622695413158, 'macds_12_26_9': 0.2896332350546247}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 118.19000244140624, '2018-01-04': 117.47000122070312, '2018-01-05': 118.91999816894533, '2018-01-08': 118.72000122070312, '2018-01-09': 118.22000122070312, '2018-01-10': 116.61000061035156, '2018-01-11': 117.56999969482422, '2018-01-12': 118.16999816894533, '2018-01-16': 116.63999938964844}, '1_month_later': {'2018-02-02': 115.61000061035156}, '3_months_later': {'2018-04-02': 108.26000213623048}, '6_months_later': {'2018-07-02': 102.68000030517578}, '12_months_later': {'2019-01-02': 101.69000244140624}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPC
{'date': '2018-01-02', 'ticker': 'PPC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/pilgrims-pride-becomes-oversold-ppc-2018-01-02', 'news_author': None, 'news_article': "Legendary investor Warren Buffett advises to be fearful when others are greedy, and be greedy when others are fearful. One way we can try to measure the level of fear in a given stock is through a technical analysis indicator called the Relative Strength Index, or RSI, which measures momentum on a scale of zero to 100. A stock is considered to be oversold if the RSI reading falls below 30.\nIn trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. By comparison, the current RSI reading of the S&P 500 ETF ( SPY ) is 69.9. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. The chart below shows the one year performance of PPC shares:\nLooking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93.\nAccording to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nFind out what 9 other oversold stocks you need to know about »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. The chart below shows the one year performance of PPC shares: Looking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93.", 'news_luhn_summary': "The chart below shows the one year performance of PPC shares: Looking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93. In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side.", 'news_article_title': 'Pilgrims Pride Becomes Oversold (PPC)', 'news_lexrank_summary': "In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. According to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side.", 'news_textrank_summary': "In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. The chart below shows the one year performance of PPC shares: Looking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side."}, {'news_url': 'https://www.nasdaq.com/articles/top-ranked-value-stocks-to-buy-for-january-2nd-2018-01-02', 'news_author': None, 'news_article': 'Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd:\nPilgrim\'s Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days.\nPilgrim\'s Pride Corporation Price and Consensus\nPilgrim\'s Pride Corporation Price and Consensus | Pilgrim\'s Pride Corporation Quote\nPilgrim\'s Pridehas a price-to-earnings ratio (P/E) of 10.75, compared with 15.80 for the industry. The company possesses a Value Score of A.\nPilgrim\'s Pride Corporation PE Ratio (TTM)\nPilgrim\'s Pride Corporation pe-ratio-ttm | Pilgrim\'s Pride Corporation Quote\nJohnson Outdoors Inc. (JOUT): This manufacturer of outdoor equipment and marine electronics products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings rising 4.5% over the last 60 days.\nJohnson Outdoors Inc. Price and Consensus\nJohnson Outdoors Inc. Price and Consensus | Johnson Outdoors Inc. Quote\nJohnson Outdoors has a price-to-earnings ratio (P/E) of 19.02, compared with 20.60 for the industry. The company possesses a Value Score of A.\nJohnson Outdoors Inc. PE Ratio (TTM)\nJohnson Outdoors Inc. pe-ratio-ttm | Johnson Outdoors Inc. Quote\nUS Foods Holding Corp. (USFD): This distributor of fresh and frozen food products has a Zacks Rank #2 (Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 0.7% over the last 60 days.\nUS Foods Holding Corp. Price and Consensus\nUS Foods Holding Corp. Price and Consensus | US Foods Holding Corp. Quote\nUS Foods has a price-to-earnings ratio (P/E) of 27.77, compared with 58.10 for the industry. The company possesses a Value Score of A.\nUS Foods Holding Corp. PE Ratio (TTM)\nUS Foods Holding Corp. pe-ratio-ttm | US Foods Holding Corp. Quote\nAmerican Equity Investment Life Holding Company (AEL): This developer of fixed index and fixed rate annuity products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 13.2% over the last 60 days.\nAmerican Equity Investment Life Holding Company Price and Consensus\nAmerican Equity Investment Life Holding Company Price and Consensus | American Equity Investment Life Holding Company Quote\nAmerican Equity has a price-to-earnings ratio (P/E) of 10.26, compared with 13.60 for the industry. The company possesses a Value Score of A.\nAmerican Equity Investment Life Holding Company PE Ratio (TTM)\nAmerican Equity Investment Life Holding Company pe-ratio-ttm | American Equity Investment Life Holding Company Quote\nSee the full list of top ranked stocks here\nLearn more about the Value score and how it is calculated here .\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nUS Foods Holding Corp. (USFD): Free Stock Analysis Report\nPilgrim\'s Pride Corporation (PPC): Free Stock Analysis Report\nJohnson Outdoors Inc. (JOUT): Free Stock Analysis Report\nAmerican Equity Investment Life Holding Company (AEL): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd: Pilgrim's Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days. Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. The company possesses a Value Score of A. Pilgrim's Pride Corporation PE Ratio (TTM) Pilgrim's Pride Corporation pe-ratio-ttm | Pilgrim's Pride Corporation Quote Johnson Outdoors Inc. (JOUT): This manufacturer of outdoor equipment and marine electronics products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings rising 4.5% over the last 60 days.", 'news_luhn_summary': "Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd: Pilgrim's Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days. American Equity Investment Life Holding Company Price and Consensus American Equity Investment Life Holding Company Price and Consensus | American Equity Investment Life Holding Company Quote American Equity has a price-to-earnings ratio (P/E) of 10.26, compared with 13.60 for the industry.", 'news_article_title': 'Top Ranked Value Stocks to Buy for January 2nd', 'news_lexrank_summary': "Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd: Pilgrim's Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days. The company possesses a Value Score of A. Pilgrim's Pride Corporation PE Ratio (TTM) Pilgrim's Pride Corporation pe-ratio-ttm | Pilgrim's Pride Corporation Quote Johnson Outdoors Inc. (JOUT): This manufacturer of outdoor equipment and marine electronics products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings rising 4.5% over the last 60 days.", 'news_textrank_summary': "Click to get this free report US Foods Holding Corp. (USFD): Free Stock Analysis Report Pilgrim's Pride Corporation (PPC): Free Stock Analysis Report Johnson Outdoors Inc. (JOUT): Free Stock Analysis Report American Equity Investment Life Holding Company (AEL): Free Stock Analysis Report To read this article on Zacks.com click here. Here are three stocks with buy rank and strong value characteristics for investors to consider today, January 2nd: Pilgrim's Pride Corporation (PPC): This producer and distributor of chicken products has a Zacks Rank #1 (Strong Buy), and seen the Zacks Consensus Estimate for its current year earnings increasing 10.3% over the last 60 days. American Equity Investment Life Holding Company Price and Consensus American Equity Investment Life Holding Company Price and Consensus | American Equity Investment Life Holding Company Quote American Equity has a price-to-earnings ratio (P/E) of 10.26, compared with 13.60 for the industry."}, {'news_url': 'https://seekingalpha.com/news/3320646-jefferies-warns-elevated-chicken-production?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Jefferies warns on elevated chicken production', 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/commentary/141841/top-ranked-value-stocks-to-buy-for-january-2nd?cid=CS-BENZ-FT-141841', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Top Ranked Value Stocks to Buy for January 2nd', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.6299991607666, 'high': 30.81999969482422, 'open': 30.739999771118164, 'close': 30.18000030517578, 'ema_50': 32.805642895643, 'rsi_14': 16.51055004419952, 'target': 29.709999084472656, 'volume': 2427100.0, 'ema_200': 28.39952547846013, 'adj_close': 30.18000030517578, 'rsi_lag_1': 15.824925627364223, 'rsi_lag_2': 16.627372601307584, 'rsi_lag_3': 12.81755641378885, 'rsi_lag_4': 17.640446765361617, 'rsi_lag_5': 16.132591328832262, 'macd_lag_1': -0.8940393370111508, 'macd_lag_2': -0.8338401554840758, 'macd_lag_3': -0.8008756416859413, 'macd_lag_4': -0.7166062636737749, 'macd_lag_5': -0.6210246543745797, 'macd_12_26_9': -1.001214818701662, 'macds_12_26_9': -0.5696474138170701}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.709999084472656, '2018-01-04': 29.46999931335449, '2018-01-05': 29.43000030517578, '2018-01-08': 30.200000762939453, '2018-01-09': 29.979999542236328, '2018-01-10': 29.93000030517578, '2018-01-11': 29.51000022888184, '2018-01-12': 29.690000534057617, '2018-01-16': 29.75}, '1_month_later': {'2018-02-02': 27.43000030517578}, '3_months_later': {'2018-04-02': 24.020000457763672}, '6_months_later': {'2018-07-02': 19.51000022888184}, '12_months_later': {'2019-01-02': 15.390000343322754}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPA
{'date': '2018-01-02', 'ticker': 'PPA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 53.720001220703125, 'high': 54.11000061035156, 'open': 54.09999847412109, 'close': 53.95000076293945, 'ema_50': 52.922541440064755, 'rsi_14': 65.9918640675338, 'target': 54.08000183105469, 'volume': 84900.0, 'ema_200': 49.131556226453306, 'adj_close': 52.53182601928711, 'rsi_lag_1': 59.17602835724298, 'rsi_lag_2': 67.30032011441153, 'rsi_lag_3': 69.50346838949852, 'rsi_lag_4': 68.61308381028489, 'rsi_lag_5': 64.16381541602236, 'macd_lag_1': 0.3532847214664372, 'macd_lag_2': 0.37301112809223014, 'macd_lag_3': 0.3693454445673794, 'macd_lag_4': 0.3745672846732546, 'macd_lag_5': 0.39105649431528633, 'macd_12_26_9': 0.3377920659956075, 'macds_12_26_9': 0.35541173308695884}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 54.08000183105469, '2018-01-04': 54.400001525878906, '2018-01-05': 54.81999969482422, '2018-01-08': 55.150001525878906, '2018-01-09': 55.43000030517578, '2018-01-10': 55.380001068115234, '2018-01-11': 55.79999923706055, '2018-01-12': 56.470001220703125, '2018-01-16': 55.959999084472656}, '1_month_later': {'2018-02-02': 57.27000045776367}, '3_months_later': {'2018-04-02': 55.970001220703125}, '6_months_later': {'2018-07-02': 55.18999862670898}, '12_months_later': {'2019-01-02': 49.47999954223633}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
POWL
{'date': '2018-01-02', 'ticker': 'POWL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.5, 'high': 29.450000762939453, 'open': 28.76000022888184, 'close': 28.950000762939453, 'ema_50': 28.699624563162846, 'rsi_14': 55.68181621141739, 'target': 29.26000022888184, 'volume': 49400.0, 'ema_200': 30.785267013184736, 'adj_close': 26.803958892822266, 'rsi_lag_1': 56.76273472334361, 'rsi_lag_2': 64.60396086348105, 'rsi_lag_3': 57.17761636217156, 'rsi_lag_4': 60.65990412907234, 'rsi_lag_5': 47.28506816619494, 'macd_lag_1': 0.15408705538549228, 'macd_lag_2': 0.18298982762581417, 'macd_lag_3': 0.16427310372933235, 'macd_lag_4': 0.1644670815697289, 'macd_lag_5': 0.14094050020500504, 'macd_12_26_9': 0.1536181706442541, 'macds_12_26_9': 0.13940276542371383}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 29.26000022888184, '2018-01-04': 29.46999931335449, '2018-01-05': 29.31999969482422, '2018-01-08': 29.11000061035156, '2018-01-09': 28.84000015258789, '2018-01-10': 29.100000381469727, '2018-01-11': 29.8799991607666, '2018-01-12': 30.76000022888184, '2018-01-16': 31.51000022888184}, '1_month_later': {'2018-02-02': 32.040000915527344}, '3_months_later': {'2018-04-02': 27.1299991607666}, '6_months_later': {'2018-07-02': 35.0099983215332}, '12_months_later': {'2019-01-02': 26.76000022888184}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
POWI
{'date': '2018-01-02', 'ticker': 'POWI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 73.8499984741211, 'high': 76.0, 'open': 74.0999984741211, 'close': 75.5999984741211, 'ema_50': 75.69043528523066, 'rsi_14': 56.60378118986447, 'target': 76.94999694824219, 'volume': 83400.0, 'ema_200': 72.04177792416695, 'adj_close': 73.95578002929688, 'rsi_lag_1': 47.80701636974475, 'rsi_lag_2': 44.672117307598505, 'rsi_lag_3': 48.04687546566118, 'rsi_lag_4': 46.18320788517942, 'rsi_lag_5': 48.399994873050005, 'macd_lag_1': -0.8779182110563397, 'macd_lag_2': -0.8557019556064773, 'macd_lag_3': -0.8708988950277217, 'macd_lag_4': -0.887809758417319, 'macd_lag_5': -0.8862989102016456, 'macd_12_26_9': -0.721786944897687, 'macds_12_26_9': -0.8685774613419168}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 76.94999694824219, '2018-01-04': 77.1500015258789, '2018-01-05': 78.75, '2018-01-08': 79.1500015258789, '2018-01-09': 77.69999694824219, '2018-01-10': 76.25, '2018-01-11': 77.9000015258789, '2018-01-12': 78.55000305175781, '2018-01-16': 78.4000015258789}, '1_month_later': {'2018-02-02': 67.5}, '3_months_later': {'2018-04-02': 66.4000015258789}, '6_months_later': {'2018-07-02': 74.0999984741211}, '12_months_later': {'2019-01-02': 60.84999847412109}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
POST
{'date': '2018-01-02', 'ticker': 'POST', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134757-444-million-potential-gncs-lean-shake-25?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "The $444 Million Potential Of GNC's Lean Shake 25", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 78.2699966430664, 'high': 79.69000244140625, 'open': 79.45999908447266, 'close': 79.44000244140625, 'ema_50': 79.93541063600513, 'rsi_14': 54.05107205245906, 'target': 79.0, 'volume': 704900.0, 'ema_200': 81.5816827433116, 'adj_close': 79.44000244140625, 'rsi_lag_1': 59.60976205221036, 'rsi_lag_2': 54.74974575181481, 'rsi_lag_3': 47.23401803135521, 'rsi_lag_4': 50.8009127349926, 'rsi_lag_5': 48.31339504379228, 'macd_lag_1': -0.43060626968625115, 'macd_lag_2': -0.549518760716623, 'macd_lag_3': -0.6169377036576549, 'macd_lag_4': -0.6003418338545856, 'macd_lag_5': -0.684463867556417, 'macd_12_26_9': -0.31578195493604255, 'macds_12_26_9': -0.5852938554990696}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 79.0, '2018-01-04': 79.9800033569336, '2018-01-05': 80.0199966430664, '2018-01-08': 79.77999877929688, '2018-01-09': 79.98999786376953, '2018-01-10': 79.0, '2018-01-11': 82.04000091552734, '2018-01-12': 80.5999984741211, '2018-01-16': 80.08999633789062}, '1_month_later': {'2018-02-02': 74.3499984741211}, '3_months_later': {'2018-04-02': 75.41999816894531}, '6_months_later': {'2018-07-02': 84.8499984741211}, '12_months_later': {'2019-01-02': 89.93000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
POR
{'date': '2018-01-02', 'ticker': 'POR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.61000061035156, 'high': 45.650001525878906, 'open': 45.59999847412109, 'close': 44.880001068115234, 'ema_50': 47.19204659173691, 'rsi_14': 16.58205698034753, 'target': 44.54999923706055, 'volume': 484800.0, 'ema_200': 46.22268456796451, 'adj_close': 41.45634460449219, 'rsi_lag_1': 21.082107079109406, 'rsi_lag_2': 21.97392368052033, 'rsi_lag_3': 19.885340422971197, 'rsi_lag_4': 16.699858788126065, 'rsi_lag_5': 16.030593257602447, 'macd_lag_1': -0.7834062978508811, 'macd_lag_2': -0.7774873372868214, 'macd_lag_3': -0.7626961166181374, 'macd_lag_4': -0.7082872325936762, 'macd_lag_5': -0.5969755755932553, 'macd_12_26_9': -0.8349564697198772, 'macds_12_26_9': -0.5999329657272351}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 44.54999923706055, '2018-01-04': 44.0, '2018-01-05': 43.86000061035156, '2018-01-08': 43.93999862670898, '2018-01-09': 43.369998931884766, '2018-01-10': 42.77999877929688, '2018-01-11': 42.72999954223633, '2018-01-12': 42.619998931884766, '2018-01-16': 42.34999847412109}, '1_month_later': {'2018-02-02': 41.400001525878906}, '3_months_later': {'2018-04-02': 39.880001068115234}, '6_months_later': {'2018-07-02': 42.70000076293945}, '12_months_later': {'2019-01-02': 44.54999923706055}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPIH
{'date': '2018-01-02', 'ticker': 'PPIH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.899999618530273, 'high': 9.010000228881836, 'open': 9.0, 'close': 8.899999618530273, 'ema_50': 8.799772263736738, 'rsi_14': 44.44442089692043, 'target': 8.899999618530273, 'volume': 5000.0, 'ema_200': 8.352818127213451, 'adj_close': 8.899999618530273, 'rsi_lag_1': 44.44444444444443, 'rsi_lag_2': 39.99997820170613, 'rsi_lag_3': 37.142855585836976, 'rsi_lag_4': 31.249970197649148, 'rsi_lag_5': 35.71425165445619, 'macd_lag_1': 0.007786431885508094, 'macd_lag_2': 8.382636562487278e-05, 'macd_lag_3': 0.00043313850457593617, 'macd_lag_4': 0.005963519029840825, 'macd_lag_5': 0.03329926757730739, 'macd_12_26_9': 0.005755264105660629, 'macds_12_26_9': 0.03527417028592454}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.899999618530273, '2018-01-04': 9.050000190734863, '2018-01-05': 9.0, '2018-01-08': 9.050000190734863, '2018-01-09': 8.949999809265137, '2018-01-10': 9.0, '2018-01-11': 9.029999732971191, '2018-01-12': 9.050000190734863, '2018-01-16': 9.050000190734863}, '1_month_later': {'2018-02-02': 9.0}, '3_months_later': {'2018-04-02': 9.0}, '6_months_later': {'2018-07-02': 9.100000381469728}, '12_months_later': {'2019-01-02': 8.789999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
POL
{'date': '2018-01-02', 'ticker': 'POL', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/m-a/18/01/10975735/polyone-reports-will-buy-iqap-masterbatch-group-no-terms-disclosed', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'PolyOne Reports Will Buy IQAP Masterbatch Group, No Terms Disclosed', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.59000015258789, 'high': 44.310001373291016, 'open': 43.61000061035156, 'close': 44.119998931884766, 'ema_50': 43.80618531474145, 'rsi_14': 49.6336911883273, 'target': 44.34999847412109, 'volume': 423700.0, 'ema_200': 39.943581902109756, 'adj_close': 41.46487808227539, 'rsi_lag_1': 42.566195876552975, 'rsi_lag_2': 44.46808113453949, 'rsi_lag_3': 42.01314024469136, 'rsi_lag_4': 35.56485021734984, 'rsi_lag_5': 33.68200285862724, 'macd_lag_1': -0.2787787310513963, 'macd_lag_2': -0.2554746443028151, 'macd_lag_3': -0.2708868412360843, 'macd_lag_4': -0.26930933224758746, 'macd_lag_5': -0.24097850619799743, 'macd_12_26_9': -0.24440134882600262, 'macds_12_26_9': -0.19685880558916408}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 44.34999847412109, '2018-01-04': 44.61000061035156, '2018-01-05': 45.54999923706055, '2018-01-08': 45.75, '2018-01-09': 45.52000045776367, '2018-01-10': 45.15999984741211, '2018-01-11': 46.22999954223633, '2018-01-12': 45.650001525878906, '2018-01-16': 43.90999984741211}, '1_month_later': {'2018-02-02': 42.880001068115234}, '3_months_later': {'2018-04-02': 41.119998931884766}, '6_months_later': {'2018-07-02': 43.220001220703125}, '12_months_later': {'2019-01-02': 28.950000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PODD
{'date': '2018-01-02', 'ticker': 'PODD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 68.56999969482422, 'high': 69.54000091552734, 'open': 69.13999938964844, 'close': 69.0, 'ema_50': 67.10323225086621, 'rsi_14': 41.513750832276855, 'target': 69.0, 'volume': 485500.0, 'ema_200': 56.63162390197642, 'adj_close': 69.0, 'rsi_lag_1': 45.97456925082497, 'rsi_lag_2': 54.74006021074539, 'rsi_lag_3': 49.438210915861504, 'rsi_lag_4': 49.16200307732962, 'rsi_lag_5': 47.31542049096037, 'macd_lag_1': 0.32980207637643844, 'macd_lag_2': 0.3758343525791048, 'macd_lag_3': 0.36192122166184504, 'macd_lag_4': 0.43766245926580893, 'macd_lag_5': 0.46178862457621506, 'macd_12_26_9': 0.2899784744925711, 'macds_12_26_9': 0.5048132112466205}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 69.0, '2018-01-04': 68.48999786376953, '2018-01-05': 68.76000213623047, '2018-01-08': 78.12000274658203, '2018-01-09': 75.08000183105469, '2018-01-10': 75.83000183105469, '2018-01-11': 77.30000305175781, '2018-01-12': 75.62000274658203, '2018-01-16': 73.79000091552734}, '1_month_later': {'2018-02-02': 75.83999633789062}, '3_months_later': {'2018-04-02': 85.0}, '6_months_later': {'2018-07-02': 86.0}, '12_months_later': {'2019-01-02': 73.43000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNW
{'date': '2018-01-02', 'ticker': 'PNW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 83.73999786376953, 'high': 85.55000305175781, 'open': 85.30000305175781, 'close': 83.88999938964844, 'ema_50': 87.96113640035463, 'rsi_14': 15.586826141401048, 'target': 83.12000274658203, 'volume': 748000.0, 'ema_200': 86.2068940636805, 'adj_close': 76.99140167236328, 'rsi_lag_1': 21.668346997175647, 'rsi_lag_2': 26.224752814119, 'rsi_lag_3': 23.733857617461993, 'rsi_lag_4': 25.509248878716363, 'rsi_lag_5': 25.459849701803947, 'macd_lag_1': -1.2893169160664826, 'macd_lag_2': -1.278524435295978, 'macd_lag_3': -1.2481886080749405, 'macd_lag_4': -1.1322596355899606, 'macd_lag_5': -0.9342226932113391, 'macd_12_26_9': -1.3859855490647703, 'macds_12_26_9': -0.9668355285114635}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 83.12000274658203, '2018-01-04': 82.51000213623047, '2018-01-05': 82.41999816894531, '2018-01-08': 83.05000305175781, '2018-01-09': 82.0199966430664, '2018-01-10': 80.56999969482422, '2018-01-11': 79.91999816894531, '2018-01-12': 79.22000122070312, '2018-01-16': 78.86000061035156}, '1_month_later': {'2018-02-02': 77.7300033569336}, '3_months_later': {'2018-04-02': 78.94000244140625}, '6_months_later': {'2018-07-02': 81.44999694824219}, '12_months_later': {'2019-01-02': 82.87000274658203}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNR
{'date': '2018-01-02', 'ticker': 'PNR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 46.94425964355469, 'high': 47.99193954467773, 'open': 47.68301010131836, 'close': 47.1658821105957, 'ema_50': 46.433238614711314, 'rsi_14': 53.820569481111356, 'target': 47.54869079589844, 'volume': 1498800.0, 'ema_200': 44.36625057419659, 'adj_close': 44.99900817871094, 'rsi_lag_1': 55.76593310977937, 'rsi_lag_2': 56.14332849975583, 'rsi_lag_3': 51.60075007247206, 'rsi_lag_4': 56.951454703393516, 'rsi_lag_5': 54.574613380208504, 'macd_lag_1': 0.13983563441225044, 'macd_lag_2': 0.08894224291985608, 'macd_lag_3': 0.05551266188022197, 'macd_lag_4': 0.06263798867833259, 'macd_lag_5': 0.07218897458906781, 'macd_12_26_9': 0.1572218284635838, 'macds_12_26_9': 0.09023159374755894}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 47.54869079589844, '2018-01-04': 48.72397613525391, '2018-01-05': 48.7978515625, '2018-01-08': 48.75083923339844, '2018-01-09': 48.94560241699219, '2018-01-10': 49.301544189453125, '2018-01-11': 49.78509140014648, '2018-01-12': 49.53660202026367, '2018-01-16': 49.40228271484375}, '1_month_later': {'2018-02-02': 47.84419250488281}, '3_months_later': {'2018-04-02': 45.17125701904297}, '6_months_later': {'2018-07-02': 41.959999084472656}, '12_months_later': {'2019-01-02': 37.77000045776367}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNQI
{'date': '2018-01-02', 'ticker': 'PNQI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/news/3320748-todays-fintech-funds-performance?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Today's fintech funds performance", 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 116.5999984741211, 'high': 118.36000061035156, 'open': 116.9000015258789, 'close': 118.23999786376952, 'ema_50': 114.45337794339069, 'rsi_14': 70.40439307379839, 'target': 119.83999633789062, 'volume': 32200.0, 'ema_200': 107.16403167491205, 'adj_close': 118.23999786376952, 'rsi_lag_1': 65.37634232179636, 'rsi_lag_2': 72.7906708539594, 'rsi_lag_3': 74.78445742134879, 'rsi_lag_4': 75.49734848666436, 'rsi_lag_5': 79.51167006020914, 'macd_lag_1': 0.7348561009646772, 'macd_lag_2': 0.8238399222742743, 'macd_lag_3': 0.8358327895283679, 'macd_lag_4': 0.8593458069787232, 'macd_lag_5': 0.8850030330394247, 'macd_12_26_9': 0.8585882677917738, 'macds_12_26_9': 0.7274700575381219}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 119.83999633789062, '2018-01-04': 119.81999969482422, '2018-01-05': 121.5500030517578, '2018-01-08': 122.83999633789062, '2018-01-09': 122.62999725341795, '2018-01-10': 122.11000061035156, '2018-01-11': 122.9800033569336, '2018-01-12': 123.7699966430664, '2018-01-16': 123.23999786376952}, '1_month_later': {'2018-02-02': 127.97000122070312}, '3_months_later': {'2018-04-02': 123.83999633789062}, '6_months_later': {'2018-07-02': 140.5500030517578}, '12_months_later': {'2019-01-02': 110.58999633789062}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNNT
{'date': '2018-01-02', 'ticker': 'PNNT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.900000095367432, 'high': 7.0, 'open': 6.909999847412109, 'close': 7.0, 'ema_50': 7.274148549359852, 'rsi_14': 38.75000670552494, 'target': 6.929999828338623, 'volume': 410200.0, 'ema_200': 7.487974586501476, 'adj_close': 5.178737640380859, 'rsi_lag_1': 30.136976458600046, 'rsi_lag_2': 34.328334839761155, 'rsi_lag_3': 25.67564345691804, 'rsi_lag_4': 41.37929900505392, 'rsi_lag_5': 39.56042919565899, 'macd_lag_1': -0.11379064912352543, 'macd_lag_2': -0.10806455582391905, 'macd_lag_3': -0.10631142067868637, 'macd_lag_4': -0.0984547114038632, 'macd_lag_5': -0.09106734824315854, 'macd_12_26_9': -0.10980064567177905, 'macds_12_26_9': -0.1013915721846565}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 6.929999828338623, '2018-01-04': 6.900000095367432, '2018-01-05': 7.0, '2018-01-08': 7.010000228881836, '2018-01-09': 6.929999828338623, '2018-01-10': 6.849999904632568, '2018-01-11': 6.960000038146973, '2018-01-12': 7.019999980926514, '2018-01-16': 6.909999847412109}, '1_month_later': {'2018-02-02': 6.699999809265137}, '3_months_later': {'2018-04-02': 6.75}, '6_months_later': {'2018-07-02': 7.050000190734863}, '12_months_later': {'2019-01-02': 6.639999866485596}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNM
{'date': '2018-01-02', 'ticker': 'PNM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 39.45000076293945, 'high': 40.54999923706055, 'open': 40.54999923706055, 'close': 39.95000076293945, 'ema_50': 42.765340544915965, 'rsi_14': 13.793103448275858, 'target': 39.650001525878906, 'volume': 761900.0, 'ema_200': 40.45460256705619, 'adj_close': 37.42277145385742, 'rsi_lag_1': 16.0584222083248, 'rsi_lag_2': 20.000010899129094, 'rsi_lag_3': 16.54360472323468, 'rsi_lag_4': 16.296320995008116, 'rsi_lag_5': 16.4179333920151, 'macd_lag_1': -0.9832458759872083, 'macd_lag_2': -0.9352145773593534, 'macd_lag_3': -0.8755785474875992, 'macd_lag_4': -0.7582166329594244, 'macd_lag_5': -0.585173474326723, 'macd_12_26_9': -1.0495581939892418, 'macds_12_26_9': -0.6730859167731396}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 39.650001525878906, '2018-01-04': 39.5, '2018-01-05': 39.400001525878906, '2018-01-08': 39.900001525878906, '2018-01-09': 39.0, '2018-01-10': 37.75, '2018-01-11': 36.54999923706055, '2018-01-12': 35.70000076293945, '2018-01-16': 35.54999923706055}, '1_month_later': {'2018-02-02': 36.5}, '3_months_later': {'2018-04-02': 37.54999923706055}, '6_months_later': {'2018-07-02': 39.0}, '12_months_later': {'2019-01-02': 40.2400016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNI
{'date': '2018-01-02', 'ticker': 'PNI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.949999809265137, 'high': 12.029999732971191, 'open': 12.029999732971191, 'close': 11.949999809265137, 'ema_50': 12.022488045652837, 'rsi_14': 38.461546523021745, 'target': 12.010000228881836, 'volume': 8800.0, 'ema_200': 12.085271628926264, 'adj_close': 10.58284854888916, 'rsi_lag_1': 40.697689891946524, 'rsi_lag_2': 28.915719408630537, 'rsi_lag_3': 32.499982118632076, 'rsi_lag_4': 41.304314023868635, 'rsi_lag_5': 43.750018626413826, 'macd_lag_1': -0.0306300766205716, 'macd_lag_2': -0.038958295147281774, 'macd_lag_3': -0.037821499275725756, 'macd_lag_4': -0.040911234874545954, 'macd_lag_5': -0.04425978853158874, 'macd_12_26_9': -0.027744677587094202, 'macds_12_26_9': -0.03168749390620173}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.010000228881836, '2018-01-04': 12.0, '2018-01-05': 11.890000343322754, '2018-01-08': 11.960000038146973, '2018-01-09': 11.859999656677246, '2018-01-10': 11.829999923706056, '2018-01-11': 11.760000228881836, '2018-01-12': 11.720000267028809, '2018-01-16': 11.640000343322754}, '1_month_later': {'2018-02-02': 10.880000114440918}, '3_months_later': {'2018-04-02': 10.789999961853027}, '6_months_later': {'2018-07-02': 10.59000015258789}, '12_months_later': {'2019-01-02': 10.729999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
POLA
{'date': '2018-01-02', 'ticker': 'POLA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.019999980926514, 'high': 5.099999904632568, 'open': 5.03000020980835, 'close': 5.019999980926514, 'ema_50': 5.0465318279920295, 'rsi_14': 50.0, 'target': 4.960000038146973, 'volume': 12700.0, 'ema_200': 5.665881612698463, 'adj_close': 5.019999980926514, 'rsi_lag_1': 53.03031999765917, 'rsi_lag_2': 40.229879387587545, 'rsi_lag_3': 43.78378294783839, 'rsi_lag_4': 46.938778489195016, 'rsi_lag_5': 56.85279212390797, 'macd_lag_1': -0.01841592265084291, 'macd_lag_2': -0.018764652702843776, 'macd_lag_3': -0.019954975228996474, 'macd_lag_4': -0.01711128204310164, 'macd_lag_5': -0.007123719009469731, 'macd_12_26_9': -0.017135132017923382, 'macds_12_26_9': -0.01627273604004416}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.960000038146973, '2018-01-04': 5.019999980926514, '2018-01-05': 5.03000020980835, '2018-01-08': 5.119999885559082, '2018-01-09': 5.110000133514404, '2018-01-10': 5.059999942779541, '2018-01-11': 5.039999961853027, '2018-01-12': 4.889999866485596, '2018-01-16': 4.900000095367432}, '1_month_later': {'2018-02-02': 4.360000133514404}, '3_months_later': {'2018-04-02': 5.090000152587891}, '6_months_later': {'2018-07-02': 6.019999980926514}, '12_months_later': {'2019-01-02': 5.0}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNFP
{'date': '2018-01-02', 'ticker': 'PNFP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 66.1500015258789, 'high': 67.0, 'open': 66.3499984741211, 'close': 66.6500015258789, 'ema_50': 66.38297178162065, 'rsi_14': 55.91397320194361, 'target': 66.55000305175781, 'volume': 480700.0, 'ema_200': 64.45877165403608, 'adj_close': 66.6500015258789, 'rsi_lag_1': 48.500021743791, 'rsi_lag_2': 50.25908333359686, 'rsi_lag_3': 47.59355801563904, 'rsi_lag_4': 46.596886244383796, 'rsi_lag_5': 47.59359685097452, 'macd_lag_1': 0.19068746217268995, 'macd_lag_2': 0.2769065929502119, 'macd_lag_3': 0.3116534074241457, 'macd_lag_4': 0.3921972655160033, 'macd_lag_5': 0.44347718171363226, 'macd_12_26_9': 0.1488838908418728, 'macds_12_26_9': 0.252334810644424}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 66.55000305175781, '2018-01-04': 67.0, '2018-01-05': 67.05000305175781, '2018-01-08': 66.94999694824219, '2018-01-09': 67.6500015258789, '2018-01-10': 68.55000305175781, '2018-01-11': 69.44999694824219, '2018-01-12': 68.55000305175781, '2018-01-16': 67.8499984741211}, '1_month_later': {'2018-02-02': 64.19999694824219}, '3_months_later': {'2018-04-02': 63.5}, '6_months_later': {'2018-07-02': 62.34999847412109}, '12_months_later': {'2019-01-02': 46.540000915527344}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPLT
{'date': '2018-01-02', 'ticker': 'PPLT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 89.16000366210938, 'high': 90.08000183105467, 'open': 89.19000244140625, 'close': 90.05000305175781, 'ema_50': 88.04707753431336, 'rsi_14': 80.95797058047587, 'target': 91.3000030517578, 'volume': 81800.0, 'ema_200': 90.05219706775901, 'adj_close': 90.05000305175781, 'rsi_lag_1': 76.64758952520653, 'rsi_lag_2': 69.58281649183049, 'rsi_lag_3': 60.73298115619289, 'rsi_lag_4': 52.78724580622035, 'rsi_lag_5': 45.25080120897876, 'macd_lag_1': -0.020210723333903502, 'macd_lag_2': -0.12914613827442167, 'macd_lag_3': -0.2479815475330014, 'macd_lag_4': -0.34208822622139223, 'macd_lag_5': -0.47148122340283294, 'macd_12_26_9': 0.19140788997523828, 'macds_12_26_9': -0.27392446156986133}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 91.3000030517578, '2018-01-04': 91.95999908447266, '2018-01-05': 92.38999938964844, '2018-01-08': 92.73999786376952, '2018-01-09': 92.0999984741211, '2018-01-10': 92.52999877929688, '2018-01-11': 93.75, '2018-01-12': 94.80999755859376, '2018-01-16': 95.22000122070312}, '1_month_later': {'2018-02-02': 94.1500015258789}, '3_months_later': {'2018-04-02': 89.0}, '6_months_later': {'2018-07-02': 77.66000366210938}, '12_months_later': {'2019-01-02': 75.31999969482422}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRK
{'date': '2018-01-02', 'ticker': 'PRK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 102.43000030517578, 'high': 105.48999786376952, 'open': 104.5, 'close': 103.66999816894533, 'ema_50': 106.94752004615309, 'rsi_14': 44.92017099137242, 'target': 103.11000061035156, 'volume': 27700.0, 'ema_200': 105.01281599089492, 'adj_close': 95.66868591308594, 'rsi_lag_1': 38.13925545962276, 'rsi_lag_2': 41.04775656365638, 'rsi_lag_3': 38.14641059773678, 'rsi_lag_4': 36.224491037164576, 'rsi_lag_5': 31.22594580991536, 'macd_lag_1': -0.8960840968932189, 'macd_lag_2': -0.7577276687487995, 'macd_lag_3': -0.7554221214811605, 'macd_lag_4': -0.6895639564218072, 'macd_lag_5': -0.6341663744480996, 'macd_12_26_9': -1.0205961556444123, 'macds_12_26_9': -0.6994712853439901}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 103.11000061035156, '2018-01-04': 102.9000015258789, '2018-01-05': 103.79000091552734, '2018-01-08': 103.62000274658205, '2018-01-09': 103.8000030517578, '2018-01-10': 105.0199966430664, '2018-01-11': 106.9499969482422, '2018-01-12': 107.91999816894533, '2018-01-16': 108.08000183105467}, '1_month_later': {'2018-02-02': 104.37000274658205}, '3_months_later': {'2018-04-02': 101.9000015258789}, '6_months_later': {'2018-07-02': 112.12000274658205}, '12_months_later': {'2019-01-02': 86.11000061035156}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRIM
{'date': '2018-01-02', 'ticker': 'PRIM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.21999931335449, 'high': 27.729999542236328, 'open': 27.21999931335449, 'close': 27.479999542236328, 'ema_50': 27.646316356259675, 'rsi_14': 43.927631131486834, 'target': 27.200000762939453, 'volume': 300500.0, 'ema_200': 26.23245976779535, 'adj_close': 26.67490005493164, 'rsi_lag_1': 37.10526659217967, 'rsi_lag_2': 51.681966283680396, 'rsi_lag_3': 45.628419287360316, 'rsi_lag_4': 46.216233492416485, 'rsi_lag_5': 44.18606255806441, 'macd_lag_1': 0.0405806509206279, 'macd_lag_2': 0.09811460301961716, 'macd_lag_3': 0.08764905294064818, 'macd_lag_4': 0.07505272031483656, 'macd_lag_5': 0.07926526843235138, 'macd_12_26_9': 0.018175559177315392, 'macds_12_26_9': 0.05818712964007549}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.200000762939453, '2018-01-04': 27.25, '2018-01-05': 26.90999984741211, '2018-01-08': 26.950000762939453, '2018-01-09': 26.43000030517578, '2018-01-10': 26.049999237060547, '2018-01-11': 26.82999992370605, '2018-01-12': 27.059999465942383, '2018-01-16': 26.26000022888184}, '1_month_later': {'2018-02-02': 26.1299991607666}, '3_months_later': {'2018-04-02': 25.309999465942383}, '6_months_later': {'2018-07-02': 27.57999992370605}, '12_months_later': {'2019-01-02': 19.25}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRI
{'date': '2018-01-02', 'ticker': 'PRI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 101.0, 'high': 103.0, 'open': 101.5999984741211, 'close': 102.0500030517578, 'ema_50': 98.08470362695454, 'rsi_14': 39.57221564000369, 'target': 101.0999984741211, 'volume': 197400.0, 'ema_200': 85.22426151188725, 'adj_close': 102.0500030517578, 'rsi_lag_1': 37.91211278752728, 'rsi_lag_2': 51.38121500385263, 'rsi_lag_3': 51.6483673106653, 'rsi_lag_4': 45.41064546851081, 'rsi_lag_5': 42.727284707305394, 'macd_lag_1': 1.13921593457016, 'macd_lag_2': 1.3459726141746273, 'macd_lag_3': 1.4630188108454405, 'macd_lag_4': 1.6165865918929825, 'macd_lag_5': 1.7636263910934105, 'macd_12_26_9': 1.0041306051413557, 'macds_12_26_9': 1.5951509440619591}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 101.0999984741211, '2018-01-04': 102.6999969482422, '2018-01-05': 103.6500015258789, '2018-01-08': 103.4000015258789, '2018-01-09': 104.0500030517578, '2018-01-10': 102.4000015258789, '2018-01-11': 105.3000030517578, '2018-01-12': 103.9000015258789, '2018-01-16': 102.6500015258789}, '1_month_later': {'2018-02-02': 101.0}, '3_months_later': {'2018-04-02': 94.8000030517578}, '6_months_later': {'2018-07-02': 101.0500030517578}, '12_months_later': {'2019-01-02': 96.97000122070312}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRH
{'date': '2018-01-02', 'ticker': 'PRH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.030000686645508, 'high': 25.31999969482422, 'open': 25.290000915527344, 'close': 25.100000381469727, 'ema_50': 25.46366996929799, 'rsi_14': 27.173910789994537, 'target': 25.13999938964844, 'volume': 60900.0, 'ema_200': 25.694395948858368, 'adj_close': 22.11897087097168, 'rsi_lag_1': 37.66243417174042, 'rsi_lag_2': 32.39434349512668, 'rsi_lag_3': 33.333333333333485, 'rsi_lag_4': 27.777836646462802, 'rsi_lag_5': 30.000027247733726, 'macd_lag_1': -0.0926226346441652, 'macd_lag_2': -0.10063911901815459, 'macd_lag_3': -0.10329799569833042, 'macd_lag_4': -0.10518917290541552, 'macd_lag_5': -0.10200035210200298, 'macd_12_26_9': -0.1004431224281852, 'macds_12_26_9': -0.09197556950630556}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.13999938964844, '2018-01-04': 25.09000015258789, '2018-01-05': 25.21999931335449, '2018-01-08': 25.270000457763672, '2018-01-09': 25.270000457763672, '2018-01-10': 25.170000076293945, '2018-01-11': 25.21999931335449, '2018-01-12': 25.14999961853028, '2018-01-16': 25.09000015258789}, '1_month_later': {'2018-02-02': 25.06999969482422}, '3_months_later': {'2018-04-02': 25.059999465942383}, '6_months_later': {'2018-07-02': 25.3700008392334}, '12_months_later': {'2019-01-02': 23.989999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
prgo
{'date': '2018-01-02', 'ticker': 'prgo', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 87.6500015258789, 'high': 90.81999969482422, 'open': 87.75, 'close': 89.69000244140625, 'ema_50': 85.7549091652056, 'rsi_14': 66.63964587696603, 'target': 89.44000244140625, 'volume': 798200.0, 'ema_200': 82.69034115676078, 'adj_close': 78.78260803222656, 'rsi_lag_1': 57.95921386059221, 'rsi_lag_2': 67.71334357957484, 'rsi_lag_3': 76.2639496342205, 'rsi_lag_4': 67.69730736401024, 'rsi_lag_5': 52.51951342995064, 'macd_lag_1': 0.558290626365519, 'macd_lag_2': 0.5734810087439399, 'macd_lag_3': 0.5733286331550858, 'macd_lag_4': 0.43853971616270826, 'macd_lag_5': 0.319176016310152, 'macd_12_26_9': 0.7418503077352625, 'macds_12_26_9': 0.45244209191079304}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 89.44000244140625, '2018-01-04': 91.08000183105467, '2018-01-05': 91.18000030517578, '2018-01-08': 90.12999725341795, '2018-01-09': 90.83999633789062, '2018-01-10': 90.08000183105467, '2018-01-11': 91.98999786376952, '2018-01-12': 91.8000030517578, '2018-01-16': 90.86000061035156}, '1_month_later': {'2018-02-02': 90.4000015258789}, '3_months_later': {'2018-04-02': 81.05000305175781}, '6_months_later': {'2018-07-02': 73.73999786376953}, '12_months_later': {'2019-01-02': 40.5}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRFZ
{'date': '2018-01-02', 'ticker': 'PRFZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/ramco-gershenson-properties-trust-rpt-passes-through-6-yield-mark-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Ramco-Gershenson Properties Trust (Symbol: RPT) were yielding above the 6% mark based on its quarterly dividend (annualized to $0.88), with the stock changing hands as low as $14.66 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 6% would appear considerably attractive if that yield is sustainable. Ramco-Gershenson Properties Trust (Symbol: RPT) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of Ramco-Gershenson Properties Trust , looking at the history chart for RPT below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 6% annual yield.\nAccording to the ETF Finder at ETF Channel, RPT makes up 90.55% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'According to the ETF Finder at ETF Channel, RPT makes up 90.55% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Ramco-Gershenson Properties Trust (Symbol: RPT) were yielding above the 6% mark based on its quarterly dividend (annualized to $0.88), with the stock changing hands as low as $14.66 on the day. Ramco-Gershenson Properties Trust (Symbol: RPT) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_luhn_summary': "According to the ETF Finder at ETF Channel, RPT makes up 90.55% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Ramco-Gershenson Properties Trust (Symbol: RPT) were yielding above the 6% mark based on its quarterly dividend (annualized to $0.88), with the stock changing hands as low as $14.66 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return.", 'news_article_title': 'Ramco-Gershenson Properties Trust (RPT) Passes Through 6% Yield Mark', 'news_lexrank_summary': 'According to the ETF Finder at ETF Channel, RPT makes up 90.55% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Ramco-Gershenson Properties Trust (Symbol: RPT) were yielding above the 6% mark based on its quarterly dividend (annualized to $0.88), with the stock changing hands as low as $14.66 on the day. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 6% would appear considerably attractive if that yield is sustainable.', 'news_textrank_summary': "According to the ETF Finder at ETF Channel, RPT makes up 90.55% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Ramco-Gershenson Properties Trust (Symbol: RPT) were yielding above the 6% mark based on its quarterly dividend (annualized to $0.88), with the stock changing hands as low as $14.66 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return."}, {'news_url': 'https://www.nasdaq.com/articles/enstar-group-becomes-oversold-esgr-2018-01-02', 'news_author': None, 'news_article': "Legendary investor Warren Buffett advises to be fearful when others are greedy, and be greedy when others are fearful. One way we can try to measure the level of fear in a given stock is through a technical analysis indicator called the Relative Strength Index, or RSI, which measures momentum on a scale of zero to 100. A stock is considered to be oversold if the RSI reading falls below 30.\nIn trading on Tuesday, shares of Enstar Group Ltd (Symbol: ESGR) entered into oversold territory, hitting an RSI reading of 29.5, after changing hands as low as $198.00 per share. By comparison, the current RSI reading of the S&P 500 ETF ( SPY ) is 69.9. A bullish investor could look at ESGR's 29.5 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. The chart below shows the one year performance of ESGR shares:\nLooking at the chart above, ESGR's low point in its 52 week range is $180.50 per share, with $237.30 as the 52 week high point - that compares with a last trade of $198.72.\nAccording to the ETF Finder at ETF Channel, ESGR makes up 171.62% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nFind out what 9 other oversold stocks you need to know about »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "According to the ETF Finder at ETF Channel, ESGR makes up 171.62% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. In trading on Tuesday, shares of Enstar Group Ltd (Symbol: ESGR) entered into oversold territory, hitting an RSI reading of 29.5, after changing hands as low as $198.00 per share. A bullish investor could look at ESGR's 29.5 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side.", 'news_luhn_summary': "According to the ETF Finder at ETF Channel, ESGR makes up 171.62% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. The chart below shows the one year performance of ESGR shares: Looking at the chart above, ESGR's low point in its 52 week range is $180.50 per share, with $237.30 as the 52 week high point - that compares with a last trade of $198.72. Find out what 9 other oversold stocks you need to know about » The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': 'Enstar Group Becomes Oversold (ESGR)', 'news_lexrank_summary': 'According to the ETF Finder at ETF Channel, ESGR makes up 171.62% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. In trading on Tuesday, shares of Enstar Group Ltd (Symbol: ESGR) entered into oversold territory, hitting an RSI reading of 29.5, after changing hands as low as $198.00 per share. Find out what 9 other oversold stocks you need to know about » The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_textrank_summary': "According to the ETF Finder at ETF Channel, ESGR makes up 171.62% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. In trading on Tuesday, shares of Enstar Group Ltd (Symbol: ESGR) entered into oversold territory, hitting an RSI reading of 29.5, after changing hands as low as $198.00 per share. The chart below shows the one year performance of ESGR shares: Looking at the chart above, ESGR's low point in its 52 week range is $180.50 per share, with $237.30 as the 52 week high point - that compares with a last trade of $198.72."}, {'news_url': 'https://www.nasdaq.com/articles/pilgrims-pride-becomes-oversold-ppc-2018-01-02', 'news_author': None, 'news_article': "Legendary investor Warren Buffett advises to be fearful when others are greedy, and be greedy when others are fearful. One way we can try to measure the level of fear in a given stock is through a technical analysis indicator called the Relative Strength Index, or RSI, which measures momentum on a scale of zero to 100. A stock is considered to be oversold if the RSI reading falls below 30.\nIn trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. By comparison, the current RSI reading of the S&P 500 ETF ( SPY ) is 69.9. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. The chart below shows the one year performance of PPC shares:\nLooking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93.\nAccording to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nFind out what 9 other oversold stocks you need to know about »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "According to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. A bullish investor could look at PPC's 27.1 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side.", 'news_luhn_summary': "According to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. The chart below shows the one year performance of PPC shares: Looking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93. Find out what 9 other oversold stocks you need to know about » The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_article_title': 'Pilgrims Pride Becomes Oversold (PPC)', 'news_lexrank_summary': 'According to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. Find out what 9 other oversold stocks you need to know about » The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_textrank_summary': "According to the ETF Finder at ETF Channel, PPC makes up 203.77% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. In trading on Tuesday, shares of Pilgrims Pride Corp. (Symbol: PPC) entered into oversold territory, hitting an RSI reading of 27.1, after changing hands as low as $29.63 per share. The chart below shows the one year performance of PPC shares: Looking at the chart above, PPC's low point in its 52 week range is $18.10 per share, with $38.39 as the 52 week high point - that compares with a last trade of $29.93."}, {'news_url': 'https://www.nasdaq.com/articles/vail-resorts-enters-oversold-territory-2018-01-02', 'news_author': None, 'news_article': 'The DividendRank formula at Dividend Channel ranks a coverage universe of thousands of dividend stocks , according to a proprietary formula designed to identify those stocks that combine two important characteristics - strong fundamentals and a valuation that looks inexpensive. Vail Resorts Inc (Symbol: MTN) presently has an above average rank, in the top 50% of the coverage universe, which suggests it is among the top most "interesting" ideas that merit further research by investors.\nBut making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share. We define oversold territory using the Relative Strength Index, or RSI, which is a technical analysis indicator used to measure momentum on a scale of zero to 100. A stock is considered to be oversold if the RSI reading falls below 30. In the case of Vail Resorts Inc, the RSI reading has hit 29.9 - by comparison, the universe of dividend stocks covered by Dividend Channel currently has an average RSI of 57.2. A falling stock price - all else being equal - creates a better opportunity for dividend investors to capture a higher yield. Indeed, MTN\'s recent annualized dividend of 4.212/share (currently paid in quarterly installments) works out to an annual yield of 1.99% based upon the recent $212.47 share price.\nA bullish investor could look at MTN\'s 29.9 RSI reading today as a sign that the recent heavy selling is in the process of exhausting itself, and begin to look for entry point opportunities on the buy side. Among the fundamental datapoints dividend investors should investigate to decide if they are bullish on MTN is its dividend history. In general, dividends are not always predictable; but, looking at the history chart below can help in judging whether the most recent dividend is likely to continue.\nAccording to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nClick here to find out what 9 other oversold dividend stocks you need to know about »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. We define oversold territory using the Relative Strength Index, or RSI, which is a technical analysis indicator used to measure momentum on a scale of zero to 100. A falling stock price - all else being equal - creates a better opportunity for dividend investors to capture a higher yield.', 'news_luhn_summary': "According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. The DividendRank formula at Dividend Channel ranks a coverage universe of thousands of dividend stocks , according to a proprietary formula designed to identify those stocks that combine two important characteristics - strong fundamentals and a valuation that looks inexpensive. Indeed, MTN's recent annualized dividend of 4.212/share (currently paid in quarterly installments) works out to an annual yield of 1.99% based upon the recent $212.47 share price.", 'news_article_title': 'Vail Resorts Enters Oversold Territory', 'news_lexrank_summary': 'According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. But making Vail Resorts Inc an even more interesting and timely stock to look at, is the fact that in trading on Tuesday, shares of MTN entered into oversold territory, changing hands as low as $206.583 per share. A stock is considered to be oversold if the RSI reading falls below 30.', 'news_textrank_summary': 'According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. The DividendRank formula at Dividend Channel ranks a coverage universe of thousands of dividend stocks , according to a proprietary formula designed to identify those stocks that combine two important characteristics - strong fundamentals and a valuation that looks inexpensive. In the case of Vail Resorts Inc, the RSI reading has hit 29.9 - by comparison, the universe of dividend stocks covered by Dividend Channel currently has an average RSI of 57.2.'}, {'news_url': 'https://www.nasdaq.com/articles/rexr-breaks-above-2-yield-territory-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Rexford Industrial Realty Inc (Symbol: REXR) were yielding above the 2% mark based on its quarterly dividend (annualized to $0.58), with the stock changing hands as low as $28.97 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 2% would appear considerably attractive if that yield is sustainable. Rexford Industrial Realty Inc (Symbol: REXR) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of Rexford Industrial Realty Inc, looking at the history chart for REXR below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.\nAccording to the ETF Finder at ETF Channel, REXR makes up 59.85% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'According to the ETF Finder at ETF Channel, REXR makes up 59.85% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Rexford Industrial Realty Inc (Symbol: REXR) were yielding above the 2% mark based on its quarterly dividend (annualized to $0.58), with the stock changing hands as low as $28.97 on the day. Rexford Industrial Realty Inc (Symbol: REXR) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_luhn_summary': "According to the ETF Finder at ETF Channel, REXR makes up 59.85% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Rexford Industrial Realty Inc (Symbol: REXR) were yielding above the 2% mark based on its quarterly dividend (annualized to $0.58), with the stock changing hands as low as $28.97 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return.", 'news_article_title': 'REXR Breaks Above 2% Yield Territory', 'news_lexrank_summary': 'According to the ETF Finder at ETF Channel, REXR makes up 59.85% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Rexford Industrial Realty Inc (Symbol: REXR) were yielding above the 2% mark based on its quarterly dividend (annualized to $0.58), with the stock changing hands as low as $28.97 on the day. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 2% would appear considerably attractive if that yield is sustainable.', 'news_textrank_summary': "According to the ETF Finder at ETF Channel, REXR makes up 59.85% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Rexford Industrial Realty Inc (Symbol: REXR) were yielding above the 2% mark based on its quarterly dividend (annualized to $0.58), with the stock changing hands as low as $28.97 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return."}, {'news_url': 'https://www.nasdaq.com/articles/washington-real-estate-investment-trust-wre-passes-through-4-yield-mark-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Washington Real Estate Investment Trust (Symbol: WRE) were yielding above the 4% mark based on its quarterly dividend (annualized to $1.20), with the stock changing hands as low as $29.81 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 4% would appear considerably attractive if that yield is sustainable. Washington Real Estate Investment Trust (Symbol: WRE) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of Washington Real Estate Investment Trust, looking at the history chart for WRE below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 4% annual yield.\nAccording to the ETF Finder at ETF Channel, WRE makes up 145.88% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'According to the ETF Finder at ETF Channel, WRE makes up 145.88% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Washington Real Estate Investment Trust (Symbol: WRE) were yielding above the 4% mark based on its quarterly dividend (annualized to $1.20), with the stock changing hands as low as $29.81 on the day. Washington Real Estate Investment Trust (Symbol: WRE) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_luhn_summary': 'According to the ETF Finder at ETF Channel, WRE makes up 145.88% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Washington Real Estate Investment Trust (Symbol: WRE) were yielding above the 4% mark based on its quarterly dividend (annualized to $1.20), with the stock changing hands as low as $29.81 on the day. Washington Real Estate Investment Trust (Symbol: WRE) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_article_title': 'Washington Real Estate Investment Trust (WRE) Passes Through 4% Yield Mark', 'news_lexrank_summary': 'According to the ETF Finder at ETF Channel, WRE makes up 145.88% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Washington Real Estate Investment Trust (Symbol: WRE) were yielding above the 4% mark based on its quarterly dividend (annualized to $1.20), with the stock changing hands as low as $29.81 on the day. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 4% would appear considerably attractive if that yield is sustainable.', 'news_textrank_summary': "According to the ETF Finder at ETF Channel, WRE makes up 145.88% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Washington Real Estate Investment Trust (Symbol: WRE) were yielding above the 4% mark based on its quarterly dividend (annualized to $1.20), with the stock changing hands as low as $29.81 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return."}, {'news_url': 'https://www.nasdaq.com/articles/semg-breaks-above-6-yield-territory-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of SemGroup Corp (Symbol: SEMG) were yielding above the 6% mark based on its quarterly dividend (annualized to $1.80), with the stock changing hands as low as $29.70 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 6% would appear considerably attractive if that yield is sustainable. SemGroup Corp (Symbol: SEMG) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of SemGroup Corp, looking at the history chart for SEMG below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 6% annual yield.\nAccording to the ETF Finder at ETF Channel, SEMG makes up 111.89% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'According to the ETF Finder at ETF Channel, SEMG makes up 111.89% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of SemGroup Corp (Symbol: SEMG) were yielding above the 6% mark based on its quarterly dividend (annualized to $1.80), with the stock changing hands as low as $29.70 on the day. SemGroup Corp (Symbol: SEMG) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_luhn_summary': "According to the ETF Finder at ETF Channel, SEMG makes up 111.89% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of SemGroup Corp (Symbol: SEMG) were yielding above the 6% mark based on its quarterly dividend (annualized to $1.80), with the stock changing hands as low as $29.70 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return.", 'news_article_title': 'SEMG Breaks Above 6% Yield Territory', 'news_lexrank_summary': "According to the ETF Finder at ETF Channel, SEMG makes up 111.89% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of SemGroup Corp (Symbol: SEMG) were yielding above the 6% mark based on its quarterly dividend (annualized to $1.80), with the stock changing hands as low as $29.70 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return.", 'news_textrank_summary': "According to the ETF Finder at ETF Channel, SEMG makes up 111.89% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading relatively unchanged on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of SemGroup Corp (Symbol: SEMG) were yielding above the 6% mark based on its quarterly dividend (annualized to $1.80), with the stock changing hands as low as $29.70 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return."}, {'news_url': 'https://www.nasdaq.com/articles/mtn-dividend-yield-pushes-above-2-2018-01-02', 'news_author': None, 'news_article': "Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return. To illustrate, suppose for example you purchased shares of the iShares Russell 3000 ETF ( IWV ) back on 5/31/2000 - you would have paid $78.27 per share. Fast forward to 5/31/2012 and each share was worth $77.79 on that date, a loss of $0.48 or 0.6% decrease over twelve years. But now consider that you collected a whopping $10.77 per share in dividends over the same period, increasing your return to 13.15%. Even with dividends reinvested, that only amounts to an average annual total return of about 1.0%; so by comparison collecting a yield above 2% would appear considerably attractive if that yield is sustainable. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.\nIn general, dividend amounts are not always predictable and tend to follow the ups and downs of profitability at each company. In the case of Vail Resorts Inc, looking at the history chart for MTN below can help in judging whether the most recent dividend is likely to continue, and in turn whether it is a reasonable expectation to expect a 2% annual yield.\nAccording to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading up by about 0.5% on the day Tuesday.\nClick here to find out which 9 other dividend stocks just recently went on sale »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading up by about 0.5% on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Vail Resorts Inc (Symbol: MTN) is a member of the Russell 3000, giving it special status as one of the largest 3000 companies on the U.S. stock markets.', 'news_luhn_summary': "According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading up by about 0.5% on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return.", 'news_article_title': 'MTN Dividend Yield Pushes Above 2%', 'news_lexrank_summary': "According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading up by about 0.5% on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return.", 'news_textrank_summary': "According to the ETF Finder at ETF Channel, MTN makes up 176.49% of the PowerShares FTSE RAFI US 1500 Small-Mid Portfolio ETF (Symbol: PRFZ) which is trading up by about 0.5% on the day Tuesday. Looking at the universe of stocks we cover at Dividend Channel , in trading on Tuesday, shares of Vail Resorts Inc (Symbol: MTN) were yielding above the 2% mark based on its quarterly dividend (annualized to $4.212), with the stock changing hands as low as $206.58 on the day. Dividends are particularly important for investors to consider, because historically speaking dividends have provided a considerable share of the stock market's total return."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 130.11000061035156, 'high': 131.1300048828125, 'open': 130.22000122070312, 'close': 130.99000549316406, 'ema_50': 128.10369321121314, 'rsi_14': 61.8950675098059, 'target': 131.1300048828125, 'volume': 139600.0, 'ema_200': 121.6672937982211, 'adj_close': 126.69947814941406, 'rsi_lag_1': 56.501786639274464, 'rsi_lag_2': 63.191853294894855, 'rsi_lag_3': 64.73497348982303, 'rsi_lag_4': 58.46332262833257, 'rsi_lag_5': 52.33270193227294, 'macd_lag_1': 0.6931927228763186, 'macd_lag_2': 0.758333679273619, 'macd_lag_3': 0.7367743783569267, 'macd_lag_4': 0.7392668036892189, 'macd_lag_5': 0.7276230293807657, 'macd_12_26_9': 0.7220065034964307, 'macds_12_26_9': 0.7125986304177905}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 131.1300048828125, '2018-01-04': 131.60000610351562, '2018-01-05': 132.00999450683594, '2018-01-08': 132.4600067138672, '2018-01-09': 132.07000732421875, '2018-01-10': 131.86000061035156, '2018-01-11': 134.27999877929688, '2018-01-12': 134.8000030517578, '2018-01-16': 133.22000122070312}, '1_month_later': {'2018-02-02': 130.5}, '3_months_later': {'2018-04-02': 125.7300033569336}, '6_months_later': {'2018-07-02': 139.85000610351562}, '12_months_later': {'2019-01-02': 114.4800033569336}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPLC
{'date': '2018-01-02', 'ticker': 'PPLC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 36.0, 'high': 36.26900100708008, 'open': 36.09999847412109, 'close': 36.26900100708008, 'ema_50': 35.198979175956126, 'rsi_14': 57.54288510444737, 'target': 36.56999969482422, 'volume': 20500.0, 'ema_200': 32.50468806254751, 'adj_close': 33.898902893066406, 'rsi_lag_1': 56.48144223569138, 'rsi_lag_2': 62.44546576691082, 'rsi_lag_3': 62.313757808673614, 'rsi_lag_4': 60.32305814613711, 'rsi_lag_5': 55.19172468426746, 'macd_lag_1': 0.29555303227875385, 'macd_lag_2': 0.31720345891691437, 'macd_lag_3': 0.33207776671616784, 'macd_lag_4': 0.3513237900612296, 'macd_lag_5': 0.3748509822689101, 'macd_12_26_9': 0.2966810913774296, 'macds_12_26_9': 0.33982036108527924}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 36.56999969482422, '2018-01-04': 36.75, '2018-01-05': 36.99399948120117, '2018-01-08': 37.09999847412109, '2018-01-09': 37.25, '2018-01-10': 37.13999938964844, '2018-01-11': 37.43600082397461, '2018-01-12': 37.77000045776367, '2018-01-16': 37.68000030517578}, '1_month_later': {'2018-02-02': 37.380001068115234}, '3_months_later': {'2018-04-02': 34.27299880981445}, '6_months_later': {'2018-07-02': 36.67499923706055}, '12_months_later': {'2019-01-02': 32.71900177001953}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRF
{'date': '2018-01-02', 'ticker': 'PRF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134835-outlook-u-s-economic-growth-2018-looks-solid?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Outlook For U.S. Economic Growth For 2018 Looks Solid', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 113.73999786376952, 'high': 114.30999755859376, 'open': 113.87999725341795, 'close': 114.30999755859376, 'ema_50': 111.16286110950072, 'rsi_14': 64.66673787471109, 'target': 114.75, 'volume': 197000.0, 'ema_200': 106.1831726335992, 'adj_close': 108.65692901611328, 'rsi_lag_1': 61.219556673712674, 'rsi_lag_2': 72.99775481771371, 'rsi_lag_3': 73.05941720243888, 'rsi_lag_4': 70.48468736135929, 'rsi_lag_5': 61.18558197411243, 'macd_lag_1': 0.9473856656533997, 'macd_lag_2': 1.0032377286387657, 'macd_lag_3': 1.0181876714652844, 'macd_lag_4': 1.0468953784899924, 'macd_lag_5': 1.0672908833527543, 'macd_12_26_9': 0.9510637864155314, 'macds_12_26_9': 1.008427390523402}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 114.75, '2018-01-04': 115.27999877929688, '2018-01-05': 115.8499984741211, '2018-01-08': 115.97000122070312, '2018-01-09': 116.12999725341795, '2018-01-10': 116.02999877929688, '2018-01-11': 117.13999938964844, '2018-01-12': 117.9000015258789, '2018-01-16': 117.2699966430664}, '1_month_later': {'2018-02-02': 115.63999938964844}, '3_months_later': {'2018-04-02': 107.91999816894533}, '6_months_later': {'2018-07-02': 112.66000366210938}, '12_months_later': {'2019-01-02': 101.9000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRDO
{'date': '2018-01-02', 'ticker': 'PRDO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.06999969482422, 'high': 12.609999656677244, 'open': 12.079999923706056, 'close': 12.510000228881836, 'ema_50': 12.129103435632416, 'rsi_14': 46.63212025590099, 'target': 12.300000190734863, 'volume': 340600.0, 'ema_200': 10.479825117159617, 'adj_close': 12.510000228881836, 'rsi_lag_1': 29.192527452218542, 'rsi_lag_2': 27.647037044101268, 'rsi_lag_3': 26.704517437887844, 'rsi_lag_4': 25.862061405672335, 'rsi_lag_5': 34.374990686774595, 'macd_lag_1': -0.06680352493540909, 'macd_lag_2': -0.0426472160325968, 'macd_lag_3': -0.016285587129173607, 'macd_lag_4': -0.009892539932387479, 'macd_lag_5': 0.01877482146843157, 'macd_12_26_9': -0.05066609560096502, 'macds_12_26_9': 0.016068668937740713}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.300000190734863, '2018-01-04': 12.06999969482422, '2018-01-05': 12.199999809265137, '2018-01-08': 12.260000228881836, '2018-01-09': 12.520000457763672, '2018-01-10': 12.420000076293944, '2018-01-11': 12.510000228881836, '2018-01-12': 12.630000114440918, '2018-01-16': 12.329999923706056}, '1_month_later': {'2018-02-02': 12.300000190734863}, '3_months_later': {'2018-04-02': 12.890000343322756}, '6_months_later': {'2018-07-02': 16.40999984741211}, '12_months_later': {'2019-01-02': 11.489999771118164}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRCP
{'date': '2018-01-02', 'ticker': 'PRCP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.220000267028809, 'high': 9.68000030517578, 'open': 9.529999732971191, 'close': 9.5600004196167, 'ema_50': 9.36344552227473, 'rsi_14': 51.53846210276661, 'target': 9.739999771118164, 'volume': 22400.0, 'ema_200': 8.225507071045397, 'adj_close': 9.5600004196167, 'rsi_lag_1': 44.37085214368541, 'rsi_lag_2': 44.37085214368547, 'rsi_lag_3': 39.41173962654091, 'rsi_lag_4': 39.41173962654099, 'rsi_lag_5': 38.69046841889249, 'macd_lag_1': 0.03271278614533557, 'macd_lag_2': 0.03717539586859964, 'macd_lag_3': 0.05251233553283008, 'macd_lag_4': 0.07030592380265865, 'macd_lag_5': 0.0706125591458715, 'macd_12_26_9': 0.017675601733269986, 'macds_12_26_9': 0.07610308951279407}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 9.739999771118164, '2018-01-04': 9.859999656677246, '2018-01-05': 9.81999969482422, '2018-01-08': 10.010000228881836, '2018-01-09': 10.6899995803833, '2018-01-10': 10.600000381469728, '2018-01-11': 10.600000381469728, '2018-01-12': 10.25, '2018-01-16': 10.550000190734863}, '1_month_later': {'2018-02-02': 10.369999885559082}, '3_months_later': {'2018-04-02': 9.010000228881836}, '6_months_later': {'2018-07-02': 10.920000076293944}, '12_months_later': {'2019-01-02': 8.279999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRAA
{'date': '2018-01-02', 'ticker': 'PRAA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.900001525878906, 'high': 33.599998474121094, 'open': 33.599998474121094, 'close': 33.349998474121094, 'ema_50': 33.03026413160268, 'rsi_14': 30.097063646908765, 'target': 34.150001525878906, 'volume': 383600.0, 'ema_200': 33.11053597379216, 'adj_close': 33.349998474121094, 'rsi_lag_1': 27.18448759371931, 'rsi_lag_2': 34.57946724032084, 'rsi_lag_3': 35.18515771307389, 'rsi_lag_4': 31.896550590160444, 'rsi_lag_5': 33.62831440161176, 'macd_lag_1': 0.03146091232661519, 'macd_lag_2': 0.09227092744706766, 'macd_lag_3': 0.14308995143793624, 'macd_lag_4': 0.2211450799457637, 'macd_lag_5': 0.3226459833063444, 'macd_12_26_9': -0.00457516144644643, 'macds_12_26_9': 0.2907808071968191}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 34.150001525878906, '2018-01-04': 34.95000076293945, '2018-01-05': 34.79999923706055, '2018-01-08': 34.70000076293945, '2018-01-09': 35.5, '2018-01-10': 35.400001525878906, '2018-01-11': 35.45000076293945, '2018-01-12': 35.400001525878906, '2018-01-16': 34.95000076293945}, '1_month_later': {'2018-02-02': 35.79999923706055}, '3_months_later': {'2018-04-02': 37.54999923706055}, '6_months_later': {'2018-07-02': 40.09999847412109}, '12_months_later': {'2019-01-02': 25.520000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPX
{'date': '2018-01-02', 'ticker': 'PPX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.270000457763672, 'high': 25.51000022888184, 'open': 25.51000022888184, 'close': 25.31999969482422, 'ema_50': 25.538675572471046, 'rsi_14': 38.83496044561635, 'target': 25.3799991607666, 'volume': 22300.0, 'ema_200': 25.684468691318784, 'adj_close': 21.900766372680664, 'rsi_lag_1': 51.282082632340874, 'rsi_lag_2': 50.64936673429075, 'rsi_lag_3': 44.578291103461176, 'rsi_lag_4': 43.90239931149195, 'rsi_lag_5': 50.66668362091986, 'macd_lag_1': 0.006172785552031712, 'macd_lag_2': 0.002599360463701572, 'macd_lag_3': 0.005127803399041397, 'macd_lag_4': 0.010316840032096763, 'macd_lag_5': 0.018826284815581573, 'macd_12_26_9': -0.012636365616916834, 'macds_12_26_9': 0.007322258651160325}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.3799991607666, '2018-01-04': 25.3799991607666, '2018-01-05': 25.440000534057617, '2018-01-08': 25.420000076293945, '2018-01-09': 25.540000915527344, '2018-01-10': 25.489999771118164, '2018-01-11': 25.59000015258789, '2018-01-12': 25.57999992370605, '2018-01-16': 25.450000762939453}, '1_month_later': {'2018-02-02': 25.06999969482422}, '3_months_later': {'2018-04-02': 25.280000686645508}, '6_months_later': {'2018-07-02': 25.57999992370605}, '12_months_later': {'2019-01-02': 24.520000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPSI
{'date': '2018-01-02', 'ticker': 'PPSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.550000190734863, 'high': 7.650000095367432, 'open': 7.650000095367432, 'close': 7.550000190734863, 'ema_50': 7.466321654074783, 'rsi_14': 50.0, 'target': 7.6620001792907715, 'volume': 700.0, 'ema_200': 6.948002281720035, 'adj_close': 5.339850425720215, 'rsi_lag_1': 54.39092738218018, 'rsi_lag_2': 59.44271965915684, 'rsi_lag_3': 53.70921938650619, 'rsi_lag_4': 53.70921938650619, 'rsi_lag_5': 47.91317562377059, 'macd_lag_1': 0.0362966217593268, 'macd_lag_2': 0.038871131626060595, 'macd_lag_3': 0.035482659040214415, 'macd_lag_4': 0.03288160774316484, 'macd_lag_5': 0.029083442520486003, 'macd_12_26_9': 0.028920066091582264, 'macds_12_26_9': 0.03434401444561165}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.6620001792907715, '2018-01-04': 7.554999828338623, '2018-01-05': 7.550000190734863, '2018-01-11': 7.550000190734863, '2018-01-12': 7.550000190734863, '2018-01-16': 7.699999809265137}, '1_month_later': {'2018-02-02': 7.550000190734863}, '3_months_later': {'2018-04-02': 6.0}, '6_months_later': {'2018-07-02': 5.150000095367432}, '12_months_later': {'2019-01-02': 5.5}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PPR
{'date': '2018-01-02', 'ticker': 'PPR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.070000171661377, 'high': 5.110000133514404, 'open': 5.099999904632568, 'close': 5.110000133514404, 'ema_50': 5.10623925744672, 'rsi_14': 50.0, 'target': 5.130000114440918, 'volume': 439900.0, 'ema_200': 5.216387556863558, 'adj_close': 4.41613245010376, 'rsi_lag_1': 42.10535561913366, 'rsi_lag_2': 38.095248907821, 'rsi_lag_3': 38.09533540870521, 'rsi_lag_4': 45.45456515849364, 'rsi_lag_5': 45.45456515849364, 'macd_lag_1': -0.004454674396857428, 'macd_lag_2': -0.00322192847349001, 'macd_lag_3': -0.002619788561688985, 'macd_lag_4': -0.0028313381813349636, 'macd_lag_5': -0.004078325894140811, 'macd_12_26_9': -0.0021788553069832517, 'macds_12_26_9': -0.0030925130164067764}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 5.130000114440918, '2018-01-04': 5.099999904632568, '2018-01-05': 5.110000133514404, '2018-01-08': 5.079999923706055, '2018-01-09': 5.079999923706055, '2018-01-10': 5.079999923706055, '2018-01-11': 5.070000171661377, '2018-01-12': 5.070000171661377, '2018-01-16': 5.099999904632568}, '1_month_later': {'2018-02-02': 5.139999866485596}, '3_months_later': {'2018-04-02': 5.159999847412109}, '6_months_later': {'2018-07-02': 5.010000228881836}, '12_months_later': {'2019-01-02': 4.539999961853027}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PREF
{'date': '2018-01-02', 'ticker': 'PREF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 100.0989990234375, 'high': 100.25, 'open': 100.25, 'close': 100.0989990234375, 'ema_50': 89.71840547924357, 'rsi_14': 49.98837444641593, 'target': 100.37999725341795, 'volume': 3100.0, 'ema_200': 67.61920538748507, 'adj_close': 88.34626770019531, 'rsi_lag_1': 50.18245918873023, 'rsi_lag_2': 49.98952228373258, 'rsi_lag_3': 49.989214354921266, 'rsi_lag_4': 50.004623676206634, 'rsi_lag_5': 49.995375468499915, 'macd_lag_1': 0.03707243839555474, 'macd_lag_2': -0.9103461231908767, 'macd_lag_3': -2.101061357953114, 'macd_lag_4': -3.602708078361516, 'macd_lag_5': -5.496478909494698, 'macd_12_26_9': 0.7597046032901318, 'macds_12_26_9': -1.0547950163995248}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 100.37999725341795, '2018-01-04': 100.52999877929688, '2018-01-05': 100.38999938964844, '2018-01-08': 100.38999938964844, '2018-01-09': 100.38999938964844, '2018-01-10': 100.4000015258789, '2018-01-11': 100.61000061035156, '2018-01-12': 20.121999740600582, '2018-01-16': 100.78900146484376}, '1_month_later': {'2018-02-02': 99.76000213623048}, '3_months_later': {'2018-04-02': 96.9800033569336}, '6_months_later': {'2018-07-02': 94.7490005493164}, '12_months_later': {'2019-01-02': 89.80500030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRLB
{'date': '2018-01-02', 'ticker': 'PRLB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 102.1500015258789, 'high': 104.25, 'open': 103.25, 'close': 103.8499984741211, 'ema_50': 93.62983499143412, 'rsi_14': 73.06788079292721, 'target': 104.25, 'volume': 139700.0, 'ema_200': 77.44694024003694, 'adj_close': 103.8499984741211, 'rsi_lag_1': 68.2870160241796, 'rsi_lag_2': 63.16915179862347, 'rsi_lag_3': 59.34780683321071, 'rsi_lag_4': 57.88287313019927, 'rsi_lag_5': 62.00872082176159, 'macd_lag_1': 3.261530473994682, 'macd_lag_2': 3.3581044398934523, 'macd_lag_3': 3.4274315628813667, 'macd_lag_4': 3.57806525312013, 'macd_lag_5': 3.830283876890036, 'macd_12_26_9': 3.216504818032462, 'macds_12_26_9': 3.44488371784039}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 104.25, '2018-01-04': 105.3499984741211, '2018-01-05': 106.25, '2018-01-08': 107.3499984741211, '2018-01-09': 106.5500030517578, '2018-01-10': 105.5500030517578, '2018-01-11': 107.3000030517578, '2018-01-12': 109.3499984741211, '2018-01-16': 107.0500030517578}, '1_month_later': {'2018-02-02': 108.9499969482422}, '3_months_later': {'2018-04-02': 113.0}, '6_months_later': {'2018-07-02': 119.1500015258789}, '12_months_later': {'2019-01-02': 111.58999633789062}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PNF
{'date': '2018-01-02', 'ticker': 'PNF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.729999542236328, 'high': 12.850000381469728, 'open': 12.850000381469728, 'close': 12.81999969482422, 'ema_50': 12.808846883595377, 'rsi_14': 50.0, 'target': 12.829999923706056, 'volume': 36300.0, 'ema_200': 12.891184093849278, 'adj_close': 11.30079746246338, 'rsi_lag_1': 44.444444444444535, 'rsi_lag_2': 47.826076139787254, 'rsi_lag_3': 45.454552619652816, 'rsi_lag_4': 50.86204841217186, 'rsi_lag_5': 37.362660395470996, 'macd_lag_1': -0.030790324766822863, 'macd_lag_2': -0.041639879346451636, 'macd_lag_3': -0.051827667044163306, 'macd_lag_4': -0.06611354206635411, 'macd_lag_5': -0.09254941673582273, 'macd_12_26_9': -0.01874819445243503, 'macds_12_26_9': -0.04894476608564037}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.829999923706056, '2018-01-04': 12.84000015258789, '2018-01-05': 12.829999923706056, '2018-01-08': 12.869999885559082, '2018-01-09': 12.779999732971191, '2018-01-10': 12.75, '2018-01-11': 12.630000114440918, '2018-01-12': 12.59000015258789, '2018-01-16': 12.479999542236328}, '1_month_later': {'2018-02-02': 11.84000015258789}, '3_months_later': {'2018-04-02': 11.600000381469728}, '6_months_later': {'2018-07-02': 12.510000228881836}, '12_months_later': {'2019-01-02': 11.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pnbk
{'date': '2018-01-02', 'ticker': 'pnbk', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.799999237060547, 'high': 17.950000762939453, 'open': 17.799999237060547, 'close': 17.93000030517578, 'ema_50': 17.70835272457349, 'rsi_14': 53.48846493348651, 'target': 17.850000381469727, 'volume': 1200.0, 'ema_200': 16.636399652099666, 'adj_close': 17.84134864807129, 'rsi_lag_1': 33.33333333333333, 'rsi_lag_2': 45.45442723008765, 'rsi_lag_3': 58.82357341072457, 'rsi_lag_4': 58.82357341072457, 'rsi_lag_5': 54.54558065176153, 'macd_lag_1': 0.048374942834833234, 'macd_lag_2': 0.06068346039680961, 'macd_lag_3': 0.06940189958328702, 'macd_lag_4': 0.0764657007834515, 'macd_lag_5': 0.08436945139480656, 'macd_12_26_9': 0.0445619962903514, 'macds_12_26_9': 0.07407332899234498}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 17.850000381469727, '2018-01-04': 17.850000381469727, '2018-01-05': 17.850000381469727, '2018-01-08': 17.850000381469727, '2018-01-09': 18.0, '2018-01-10': 18.0, '2018-01-11': 17.850000381469727, '2018-01-12': 17.850000381469727, '2018-01-16': 17.850000381469727}, '1_month_later': {'2018-02-02': 17.959999084472656}, '3_months_later': {'2018-04-02': 18.549999237060547}, '6_months_later': {'2018-07-02': 20.5}, '12_months_later': {'2019-01-02': 14.25}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLD
{'date': '2018-01-02', 'ticker': 'PLD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 63.900001525878906, 'high': 64.83999633789062, 'open': 64.58999633789062, 'close': 64.01000213623047, 'ema_50': 64.98558889526119, 'rsi_14': 36.89024496617366, 'target': 63.88999938964844, 'volume': 1532200.0, 'ema_200': 60.980279674484116, 'adj_close': 59.66028594970703, 'rsi_lag_1': 37.28813459698257, 'rsi_lag_2': 41.94531888620276, 'rsi_lag_3': 46.94442943291382, 'rsi_lag_4': 45.58402870911158, 'rsi_lag_5': 37.6028197374449, 'macd_lag_1': -0.4669428693254929, 'macd_lag_2': -0.5022725112724089, 'macd_lag_3': -0.5655147450116118, 'macd_lag_4': -0.5891360943507777, 'macd_lag_5': -0.5638800029886539, 'macd_12_26_9': -0.4738277040471246, 'macds_12_26_9': -0.4203884243056034}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 63.88999938964844, '2018-01-04': 62.61000061035156, '2018-01-05': 62.560001373291016, '2018-01-08': 63.290000915527344, '2018-01-09': 62.650001525878906, '2018-01-10': 61.43999862670898, '2018-01-11': 61.650001525878906, '2018-01-12': 61.84999847412109, '2018-01-16': 62.13999938964844}, '1_month_later': {'2018-02-02': 63.83000183105469}, '3_months_later': {'2018-04-02': 61.400001525878906}, '6_months_later': {'2018-07-02': 64.5199966430664}, '12_months_later': {'2019-01-02': 57.02999877929688}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLCY
{'date': '2018-01-02', 'ticker': 'PLCY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 21.3799991607666, 'high': 21.6200008392334, 'open': 21.6200008392334, 'close': 21.450000762939453, 'ema_50': 20.78997354521926, 'rsi_14': 62.75551089183528, 'target': 21.489999771118164, 'volume': 49000.0, 'ema_200': 20.297540111883848, 'adj_close': 21.210498809814453, 'rsi_lag_1': 58.47458498831041, 'rsi_lag_2': 67.67310879519079, 'rsi_lag_3': 70.70068681021998, 'rsi_lag_4': 66.35518302581781, 'rsi_lag_5': 59.237262319380875, 'macd_lag_1': 0.26851433705573413, 'macd_lag_2': 0.28615918182012834, 'macd_lag_3': 0.2943362476523781, 'macd_lag_4': 0.2979464869166044, 'macd_lag_5': 0.2987297034094851, 'macd_12_26_9': 0.2572142094272678, 'macds_12_26_9': 0.2760392147059}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.489999771118164, '2018-01-04': 21.65999984741211, '2018-01-05': 21.66600036621093, '2018-01-08': 21.5939998626709, '2018-01-09': 21.5, '2018-01-10': 21.49300003051757, '2018-01-11': 21.79899978637696, '2018-01-12': 21.93000030517578, '2018-01-16': 21.70499992370605}, '1_month_later': {'2018-02-02': 21.23500061035156}, '3_months_later': {'2018-04-02': 20.45800018310547}, '6_months_later': {'2018-07-02': 21.32999992370605}, '12_months_later': {'2019-01-02': 18.96199989318848}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLCE
{'date': '2018-01-02', 'ticker': 'PLCE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/bet-on-these-5-retail-growth-stocks-for-a-thriving-2018-2018-01-02', 'news_author': None, 'news_article': 'It\'s the first trading day of 2018 and wolves of Wall Street are back to hunt for the best stocks. And if morning shows the day, today\'s session might show the direction that the market will choose for itself this year. Barring a few hiccups, the year 2017 turned out to be a great one for investors, and undoubtedly there is enough steam in the market to carry the momentum in 2018.\nA favorable economic backdrop, major reforms and increase in infrastructure outlays are likely to spur domestic investments and stimulate growth in 2018. If the government ably channelizes the policies along with implementing pro-investors and pro-corporate reforms, Wall Street would continue to be ruled by bulls. We noted that major indices like the S&P 500, Dow Jones Industrial Average and NASDAQ have gained 18.4%, 24.3% and 27.2%, respectively, in a year.\nThe market in 2017 became witness to some major events, news and reforms - the Fed raised benchmark interest rate thrice this year, unemployment rate reached its 17-year low rate, economy grew at a rate of 3% or more for two successive quarters, the new tax code finally passed, and corporates reported sturdy earnings results. Certainly, the year 2018 is likely to turn out to be another eventful one with primary focus on the impact of new tax structure over corporate profitability.\nThe exact earnings impact of the tax legislation will gradually become clear but preliminary estimates suggest a material earnings boost. In fact, we expect average S&P 500 earnings in 2018 to rise by an impressive 11.7% year over year. Well, all of these are working in tandem for investors and calls for investing in growth stocks to reap the benefits of current bullish trend.\nRetail Holds the Baton\nAmong the 16 Zacks categorized sectors, we are focusing on Retail-Wholesale , which currently occupies the top 31% (5 out of 16) position in the list. The sector has certainly been facing the brunt of heightened online competition, lower footfall and changing consumer spending patterns but of late the tables are turning in favor of the retailers. Stocks once bogged down by tough environment are now suddenly climbing the charts. The sector has gained 30% in a year and has comfortably outperformed the S&P 500.\nThe recent rebound in oil prices , encouraging employment picture, along with a gradual improvement in the manufacturing sector and housing market highlights the underlying strength of the economy. Amid such a backdrop, the retail sector presents itself as a lucrative investment hub. These factors are playing a crucial role in raising buyers\' confidence, and we expect this positive sentiment to translate into higher consumer spending.\nWe have identified five Retail-Wholesale stocks based on a favorable combination of a Zacks Rank #1 (Strong Buy) or 2 (Buy) and a Growth Score of A or B. These stocks are backed by sound fundamentals, surging share price and a track record of better-than-expected results. Not only this, these stocks have outperformed their respective industries.\n5 Prominent Picks\nRHRH, a home furnishing retailer, is a lucrative option. The stock has a long-term earnings growth rate of 34.4% and a Growth Score of A. We note that in a year, the stock has soared more than 170%, while the industry has advanced 9.2%. It has delivered an average positive earnings surprise of 17% in the trailing four quarters. The company sports a Zacks Rank #1. You can see the complete list of today\'s Zacks #1 Rank stocks here .\nYou may also consider PetMed Express, Inc.PETS with a long-term earnings growth rate of 10% and a Growth Score of A. In a year, the stock has surged roughly 94.2% and outperformed the industry , which grew 57.7%. The operator of pet pharmacy in the United States delivered an average positive earnings surprise of 23.5% in the trailing four quarters. It sports a Zacks Rank #1.\nWe also suggest investing in Alibaba Group Holding LimitedBABA with a long-term earnings growth rate of 30.7% and a Growth Score of B. In a year, this Zacks Rank #2 stock has surged roughly 94.6% and outperformed the industry , which grew 57.7%. This e-commerce, retail and technology conglomerate delivered an average positive earnings surprise of 15% in the preceding four quarters.\nInvestors can count on The Children\'s Place, Inc.PLCE with a Growth Score of B and a long-term earnings growth rate of 9%. In a year, this Zacks Rank #2 stock has advanced roughly 44%, compared with the industry \'s decline of 1%. This children\'s specialty apparel retailer delivered an average positive earnings surprise of 14% in the preceding four quarters.\nBurlington Stores, Inc.BURL , a retailer of branded apparel products, is also a solid bet with a Zacks Rank #2 and a Growth Score of A. The company posted an average positive earnings surprise of 15.2% in the trailing four quarters and has a long-term earnings growth rate of 17.5%. The stock has surged 45.2% in a year and comfortably outperformed the industry \'s increase of 12.1%.\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nPetMed Express, Inc. (PETS): Free Stock Analysis Report\nAlibaba Group Holding Limited (BABA): Free Stock Analysis Report\nChildren\'s Place, Inc. (The) (PLCE): Free Stock Analysis Report\nBurlington Stores, Inc. (BURL): Free Stock Analysis Report\nRestoration Hardware Holdings Inc. (RH): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Investors can count on The Children's Place, Inc.PLCE with a Growth Score of B and a long-term earnings growth rate of 9%. Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report Alibaba Group Holding Limited (BABA): Free Stock Analysis Report Children's Place, Inc. (The) (PLCE): Free Stock Analysis Report Burlington Stores, Inc. (BURL): Free Stock Analysis Report Restoration Hardware Holdings Inc. (RH): Free Stock Analysis Report To read this article on Zacks.com click here. The sector has certainly been facing the brunt of heightened online competition, lower footfall and changing consumer spending patterns but of late the tables are turning in favor of the retailers.", 'news_luhn_summary': "Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report Alibaba Group Holding Limited (BABA): Free Stock Analysis Report Children's Place, Inc. (The) (PLCE): Free Stock Analysis Report Burlington Stores, Inc. (BURL): Free Stock Analysis Report Restoration Hardware Holdings Inc. (RH): Free Stock Analysis Report To read this article on Zacks.com click here. Investors can count on The Children's Place, Inc.PLCE with a Growth Score of B and a long-term earnings growth rate of 9%. We also suggest investing in Alibaba Group Holding LimitedBABA with a long-term earnings growth rate of 30.7% and a Growth Score of B.", 'news_article_title': 'Bet on These 5 Retail Growth Stocks for a Thriving 2018', 'news_lexrank_summary': "Investors can count on The Children's Place, Inc.PLCE with a Growth Score of B and a long-term earnings growth rate of 9%. Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report Alibaba Group Holding Limited (BABA): Free Stock Analysis Report Children's Place, Inc. (The) (PLCE): Free Stock Analysis Report Burlington Stores, Inc. (BURL): Free Stock Analysis Report Restoration Hardware Holdings Inc. (RH): Free Stock Analysis Report To read this article on Zacks.com click here. We also suggest investing in Alibaba Group Holding LimitedBABA with a long-term earnings growth rate of 30.7% and a Growth Score of B.", 'news_textrank_summary': "Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report Alibaba Group Holding Limited (BABA): Free Stock Analysis Report Children's Place, Inc. (The) (PLCE): Free Stock Analysis Report Burlington Stores, Inc. (BURL): Free Stock Analysis Report Restoration Hardware Holdings Inc. (RH): Free Stock Analysis Report To read this article on Zacks.com click here. Investors can count on The Children's Place, Inc.PLCE with a Growth Score of B and a long-term earnings growth rate of 9%. The market in 2017 became witness to some major events, news and reforms - the Fed raised benchmark interest rate thrice this year, unemployment rate reached its 17-year low rate, economy grew at a rate of 3% or more for two successive quarters, the new tax code finally passed, and corporates reported sturdy earnings results."}, {'news_url': 'http://www.zacks.com/stock/news/287515/bet-on-these-5-retail-growth-stocks-for-a-thriving-2018?cid=CS-BENZ-FT-287515', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Bet on These 5 Retail Growth Stocks for a Thriving 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 146.0500030517578, 'high': 150.1999969482422, 'open': 146.0500030517578, 'close': 149.5500030517578, 'ema_50': 129.62746751736194, 'rsi_14': 69.77545092446037, 'target': 149.0500030517578, 'volume': 615800.0, 'ema_200': 113.89459531579156, 'adj_close': 149.5500030517578, 'rsi_lag_1': 66.79315712303605, 'rsi_lag_2': 68.00729966101544, 'rsi_lag_3': 67.47209175685794, 'rsi_lag_4': 69.12028902370672, 'rsi_lag_5': 60.108276700513244, 'macd_lag_1': 5.13036161511684, 'macd_lag_2': 5.0795848631860565, 'macd_lag_3': 4.9917994836208095, 'macd_lag_4': 4.852964849566263, 'macd_lag_5': 4.589899132115107, 'macd_12_26_9': 5.446720802784256, 'macds_12_26_9': 5.0914811540419835}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 149.0500030517578, '2018-01-04': 151.60000610351562, '2018-01-05': 148.4499969482422, '2018-01-08': 147.8000030517578, '2018-01-09': 149.75, '2018-01-10': 152.4499969482422, '2018-01-11': 157.39999389648438, '2018-01-12': 158.35000610351562, '2018-01-16': 153.5500030517578}, '1_month_later': {'2018-02-02': 145.60000610351562}, '3_months_later': {'2018-04-02': 129.85000610351562}, '6_months_later': {'2018-07-02': 119.5500030517578}, '12_months_later': {'2019-01-02': 88.80999755859375}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLBC
{'date': '2018-01-02', 'ticker': 'PLBC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.14999961853028, 'high': 23.39999961853028, 'open': 23.39999961853028, 'close': 23.14999961853028, 'ema_50': 22.104587946004052, 'rsi_14': 61.68222549818271, 'target': 22.950000762939453, 'volume': 800.0, 'ema_200': 20.05610271367421, 'adj_close': 22.25883102416992, 'rsi_lag_1': 58.92859879803069, 'rsi_lag_2': 68.38487544553966, 'rsi_lag_3': 62.08177489745348, 'rsi_lag_4': 57.785481971921726, 'rsi_lag_5': 61.146511130657075, 'macd_lag_1': 0.36130622336041895, 'macd_lag_2': 0.35752956654832957, 'macd_lag_3': 0.35056336443501124, 'macd_lag_4': 0.36915464100069784, 'macd_lag_5': 0.37733249128942603, 'macd_12_26_9': 0.3561589973958199, 'macds_12_26_9': 0.3625019242623295}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.950000762939453, '2018-01-04': 23.049999237060547, '2018-01-05': 22.850000381469727, '2018-01-08': 22.799999237060547, '2018-01-09': 22.799999237060547, '2018-01-10': 22.950000762939453, '2018-01-11': 22.96999931335449, '2018-01-12': 23.0, '2018-01-16': 22.89999961853028}, '1_month_later': {'2018-02-02': 24.14999961853028}, '3_months_later': {'2018-04-02': 24.14999961853028}, '6_months_later': {'2018-07-02': 28.25}, '12_months_later': {'2019-01-02': 22.709999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLAY
{'date': '2018-01-02', 'ticker': 'PLAY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/markets/options/18/01/10972958/dave-busters-option-alert-jan-19-55-puts-sweep-43-at-the-ask-1802-1-5', 'news_author': None, 'news_article': None, 'news_publisher': 'Charles Gross', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Dave & Busters Option Alert: Jan 19 $55 Puts Sweep (43) at the Ask: 1802 @ $1.55 vs 823 OI; Ref=$55.11', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.33000183105469, 'high': 55.51499938964844, 'open': 55.0, 'close': 54.52999877929688, 'ema_50': 53.28958092812553, 'rsi_14': 45.73412473149537, 'target': 55.9000015258789, 'volume': 874500.0, 'ema_200': 54.97185185481136, 'adj_close': 53.41964340209961, 'rsi_lag_1': 49.94817546814036, 'rsi_lag_2': 60.07152898897319, 'rsi_lag_3': 71.0243783346036, 'rsi_lag_4': 67.9264648007512, 'rsi_lag_5': 57.551838265890765, 'macd_lag_1': 1.2578553651735618, 'macd_lag_2': 1.3890856776270795, 'macd_lag_3': 1.3856871429599522, 'macd_lag_4': 1.3225032981028306, 'macd_lag_5': 1.2867664994062622, 'macd_12_26_9': 1.089650976867098, 'macds_12_26_9': 1.2567704363206373}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 55.9000015258789, '2018-01-04': 57.36999893188477, '2018-01-05': 56.36999893188477, '2018-01-08': 43.790000915527344, '2018-01-09': 43.9900016784668, '2018-01-10': 46.09999847412109, '2018-01-11': 46.20000076293945, '2018-01-12': 47.91999816894531, '2018-01-16': 46.65999984741211}, '1_month_later': {'2018-02-02': 47.70000076293945}, '3_months_later': {'2018-04-02': 40.09000015258789}, '6_months_later': {'2018-07-02': 47.11999893188477}, '12_months_later': {'2019-01-02': 43.45000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLAG
{'date': '2018-01-02', 'ticker': 'PLAG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.25, 'high': 4.5, 'open': 4.5, 'close': 4.5, 'ema_50': 5.99220813764305, 'rsi_14': 33.33333333333333, 'target': 4.75, 'volume': 1000.0, 'ema_200': 10.65404235196857, 'adj_close': 4.5, 'rsi_lag_1': 25.0, 'rsi_lag_2': 25.0, 'rsi_lag_3': 22.222222222222214, 'rsi_lag_4': 22.222222222222214, 'rsi_lag_5': 22.222222222222214, 'macd_lag_1': -0.4899618462495292, 'macd_lag_2': -0.5182131152532445, 'macd_lag_3': -0.546734362377939, 'macd_lag_4': -0.5751853452552336, 'macd_lag_5': -0.6031328129239952, 'macd_12_26_9': -0.46224405034918803, 'macds_12_26_9': -0.5343334477660366}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 4.75, '2018-01-04': 4.75, '2018-01-05': 5.75, '2018-01-08': 5.0, '2018-01-09': 5.0, '2018-01-10': 5.0, '2018-01-11': 5.75, '2018-01-12': 5.25, '2018-01-16': 5.5}, '1_month_later': {'2018-02-02': 5.5}, '3_months_later': {'2018-04-02': 4.75}, '6_months_later': {'2018-07-02': 5.0}, '12_months_later': {'2019-01-02': 2.5199999809265137}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLAB
{'date': '2018-01-02', 'ticker': 'PLAB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.479999542236328, 'high': 8.699999809265137, 'open': 8.550000190734863, 'close': 8.600000381469727, 'ema_50': 8.929379371009274, 'rsi_14': 39.130449204885466, 'target': 8.649999618530273, 'volume': 458800.0, 'ema_200': 9.409241543194362, 'adj_close': 8.600000381469727, 'rsi_lag_1': 33.62832530587201, 'rsi_lag_2': 26.31580079549292, 'rsi_lag_3': 27.343765133983723, 'rsi_lag_4': 36.641220818324506, 'rsi_lag_5': 31.788087417129873, 'macd_lag_1': -0.1563928456522703, 'macd_lag_2': -0.15225471998915197, 'macd_lag_3': -0.1417038344949546, 'macd_lag_4': -0.1312668497463445, 'macd_lag_5': -0.1262178858646159, 'macd_12_26_9': -0.15226861493087185, 'macds_12_26_9': -0.132731091848649}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.649999618530273, '2018-01-04': 8.75, '2018-01-05': 8.699999809265137, '2018-01-08': 8.800000190734863, '2018-01-09': 8.550000190734863, '2018-01-10': 8.399999618530273, '2018-01-11': 8.449999809265137, '2018-01-12': 8.550000190734863, '2018-01-16': 8.5}, '1_month_later': {'2018-02-02': 7.900000095367432}, '3_months_later': {'2018-04-02': 7.949999809265137}, '6_months_later': {'2018-07-02': 7.900000095367432}, '12_months_later': {'2019-01-02': 9.779999732971191}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PKX
{'date': '2018-01-02', 'ticker': 'PKX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/18/01/10972208/goldman-sachs-upgrades-posco-to-buy', 'news_author': None, 'news_article': None, 'news_publisher': 'Eddie Staley', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Goldman Sachs Upgrades POSCO to Buy', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 80.66999816894531, 'high': 82.63999938964844, 'open': 81.0, 'close': 82.3499984741211, 'ema_50': 75.42399188941818, 'rsi_14': 70.27821637239094, 'target': 85.13999938964844, 'volume': 387000.0, 'ema_200': 69.07702704247795, 'adj_close': 75.60476684570312, 'rsi_lag_1': 59.03130367435741, 'rsi_lag_2': 63.498950337968104, 'rsi_lag_3': 58.720354369704104, 'rsi_lag_4': 55.51218582688184, 'rsi_lag_5': 50.54945389968217, 'macd_lag_1': 1.2089003602346793, 'macd_lag_2': 1.2678073719807657, 'macd_lag_3': 1.2553169104899524, 'macd_lag_4': 1.2404603108939227, 'macd_lag_5': 1.1444008732638906, 'macd_12_26_9': 1.485609774789026, 'macds_12_26_9': 1.227023975874761}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 85.13999938964844, '2018-01-04': 86.36000061035156, '2018-01-05': 86.0, '2018-01-08': 87.26000213623047, '2018-01-09': 87.97000122070312, '2018-01-10': 87.63999938964844, '2018-01-11': 87.56999969482422, '2018-01-12': 90.33999633789062, '2018-01-16': 88.97000122070312}, '1_month_later': {'2018-02-02': 87.16999816894531}, '3_months_later': {'2018-04-02': 76.58000183105469}, '6_months_later': {'2018-07-02': 71.0199966430664}, '12_months_later': {'2019-01-02': 53.959999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PKW
{'date': '2018-01-02', 'ticker': 'PKW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.16999816894531, 'high': 59.5, 'open': 59.16999816894531, 'close': 59.4900016784668, 'ema_50': 57.45541361151913, 'rsi_14': 68.5811015443065, 'target': 59.68999862670898, 'volume': 64400.0, 'ema_200': 54.658839880046145, 'adj_close': 57.24347305297852, 'rsi_lag_1': 63.241076921221186, 'rsi_lag_2': 75.47176329855006, 'rsi_lag_3': 77.03186689797498, 'rsi_lag_4': 78.13618601496893, 'rsi_lag_5': 70.68407430095883, 'macd_lag_1': 0.676472795235135, 'macd_lag_2': 0.7188177234704938, 'macd_lag_3': 0.7339003645064537, 'macd_lag_4': 0.756730867981922, 'macd_lag_5': 0.7697730665646958, 'macd_12_26_9': 0.673878343806301, 'macds_12_26_9': 0.7045013810440646}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 59.68999862670898, '2018-01-04': 60.02000045776367, '2018-01-05': 60.38999938964844, '2018-01-08': 60.38999938964844, '2018-01-09': 60.77000045776367, '2018-01-10': 60.900001525878906, '2018-01-11': 61.65999984741211, '2018-01-12': 62.220001220703125, '2018-01-16': 61.72999954223633}, '1_month_later': {'2018-02-02': 61.18000030517578}, '3_months_later': {'2018-04-02': 55.56999969482422}, '6_months_later': {'2018-07-02': 56.9900016784668}, '12_months_later': {'2019-01-02': 52.400001525878906}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLG
{'date': '2018-01-02', 'ticker': 'PLG', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.0999999046325684, 'high': 4.0, 'open': 3.0999999046325684, 'close': 3.5, 'ema_50': 3.5938392487937207, 'rsi_14': 63.157897378599756, 'target': 3.700000047683716, 'volume': 321400.0, 'ema_200': 7.765078319975868, 'adj_close': 3.5, 'rsi_lag_1': 53.33333121405639, 'rsi_lag_2': 47.05882517936797, 'rsi_lag_3': 44.444441501004334, 'rsi_lag_4': 44.444441501004334, 'rsi_lag_5': 37.50000186264553, 'macd_lag_1': -0.1704129386256037, 'macd_lag_2': -0.17741570865784428, 'macd_lag_3': -0.18377319755487997, 'macd_lag_4': -0.19939640898161448, 'macd_lag_5': -0.2164369965265509, 'macd_12_26_9': -0.12309837021144876, 'macds_12_26_9': -0.18344285261611265}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.700000047683716, '2018-01-04': 3.799999952316284, '2018-01-05': 3.900000095367432, '2018-01-08': 3.700000047683716, '2018-01-09': 3.700000047683716, '2018-01-10': 4.099999904632568, '2018-01-11': 4.900000095367432, '2018-01-12': 5.0, '2018-01-16': 5.099999904632568}, '1_month_later': {'2018-02-02': 3.900000095367432}, '3_months_later': {'2018-04-02': 2.799999952316284}, '6_months_later': {'2018-07-02': 1.100000023841858}, '12_months_later': {'2019-01-02': 1.5800000429153442}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PKOH
{'date': '2018-01-02', 'ticker': 'PKOH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 45.04999923706055, 'high': 46.79999923706055, 'open': 46.45000076293945, 'close': 45.45000076293945, 'ema_50': 44.10780315491683, 'rsi_14': 76.05630700210882, 'target': 45.900001525878906, 'volume': 15200.0, 'ema_200': 41.73841731330299, 'adj_close': 43.991641998291016, 'rsi_lag_1': 71.52314835867199, 'rsi_lag_2': 60.992891683805695, 'rsi_lag_3': 62.67604687885334, 'rsi_lag_4': 58.33333774849176, 'rsi_lag_5': 53.061228726581795, 'macd_lag_1': 0.2369025101107738, 'macd_lag_2': 0.10185965618715187, 'macd_lag_3': 0.040014506132493466, 'macd_lag_4': -0.04968647488797018, 'macd_lag_5': -0.13800028739207448, 'macd_12_26_9': 0.3001195323003927, 'macds_12_26_9': 0.002169435064773908}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 45.900001525878906, '2018-01-04': 46.25, '2018-01-05': 47.04999923706055, '2018-01-08': 46.29999923706055, '2018-01-09': 46.29999923706055, '2018-01-10': 46.09999847412109, '2018-01-11': 47.0, '2018-01-12': 46.650001525878906, '2018-01-16': 46.25}, '1_month_later': {'2018-02-02': 43.29999923706055}, '3_months_later': {'2018-04-02': 38.59999847412109}, '6_months_later': {'2018-07-02': 38.5}, '12_months_later': {'2019-01-02': 30.709999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pkg
{'date': '2018-01-02', 'ticker': 'pkg', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 121.11000061035156, 'high': 123.77999877929688, 'open': 121.47000122070312, 'close': 123.61000061035156, 'ema_50': 116.77444498052293, 'rsi_14': 70.82066358283252, 'target': 125.9800033569336, 'volume': 825400.0, 'ema_200': 108.51257194172946, 'adj_close': 102.28077697753906, 'rsi_lag_1': 60.71776899317269, 'rsi_lag_2': 64.34106005552012, 'rsi_lag_3': 65.15150748885762, 'rsi_lag_4': 61.10052681791262, 'rsi_lag_5': 55.05132847874879, 'macd_lag_1': 1.4938675198056046, 'macd_lag_2': 1.484128937679614, 'macd_lag_3': 1.412439405468021, 'macd_lag_4': 1.339083549713692, 'macd_lag_5': 1.270777472589188, 'macd_12_26_9': 1.72857570113338, 'macds_12_26_9': 1.3398729855977458}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 125.9800033569336, '2018-01-04': 128.0800018310547, '2018-01-05': 128.47000122070312, '2018-01-08': 129.5800018310547, '2018-01-09': 127.9000015258789, '2018-01-10': 128.0, '2018-01-11': 129.24000549316406, '2018-01-12': 128.32000732421875, '2018-01-16': 125.87999725341795}, '1_month_later': {'2018-02-02': 123.0999984741211}, '3_months_later': {'2018-04-02': 109.93000030517578}, '6_months_later': {'2018-07-02': 112.37000274658205}, '12_months_later': {'2019-01-02': 84.55000305175781}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PKE
{'date': '2018-01-02', 'ticker': 'PKE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.540000915527344, 'high': 19.89999961853028, 'open': 19.809999465942383, 'close': 19.86000061035156, 'ema_50': 19.180310502734145, 'rsi_14': 70.4300860254089, 'target': 19.65999984741211, 'volume': 110800.0, 'ema_200': 18.455118252849147, 'adj_close': 12.43802261352539, 'rsi_lag_1': 67.64704232400004, 'rsi_lag_2': 67.64696642626652, 'rsi_lag_3': 58.49055924761882, 'rsi_lag_4': 61.67665833298118, 'rsi_lag_5': 57.14284157269816, 'macd_lag_1': 0.14757590364398965, 'macd_lag_2': 0.14367859225481538, 'macd_lag_3': 0.12948709363046262, 'macd_lag_4': 0.13189006229321265, 'macd_lag_5': 0.13100231296255416, 'macd_12_26_9': 0.16569979193014817, 'macds_12_26_9': 0.13260039310458158}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 19.65999984741211, '2018-01-04': 20.299999237060547, '2018-01-05': 20.450000762939453, '2018-01-08': 20.57999992370605, '2018-01-09': 21.049999237060547, '2018-01-10': 21.21999931335449, '2018-01-11': 21.709999084472656, '2018-01-12': 22.049999237060547, '2018-01-16': 22.549999237060547}, '1_month_later': {'2018-02-02': 18.280000686645508}, '3_months_later': {'2018-04-02': 16.56999969482422}, '6_months_later': {'2018-07-02': 23.309999465942383}, '12_months_later': {'2019-01-02': 18.420000076293945}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PKBK
{'date': '2018-01-02', 'ticker': 'PKBK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.545454025268555, 'high': 19.027273178100582, 'open': 18.90909004211425, 'close': 18.68181800842285, 'ema_50': 18.96883982999255, 'rsi_14': 53.225803176768935, 'target': 18.636363983154297, 'volume': 7200.0, 'ema_200': 18.30809094687838, 'adj_close': 17.365156173706055, 'rsi_lag_1': 47.82608166834717, 'rsi_lag_2': 42.85714285714287, 'rsi_lag_3': 50.70424699471643, 'rsi_lag_4': 42.647078787998595, 'rsi_lag_5': 43.28359517628605, 'macd_lag_1': -0.05019838962038392, 'macd_lag_2': -0.03290676453527652, 'macd_lag_3': -0.010357719215225103, 'macd_lag_4': -0.023079278490733657, 'macd_lag_5': -0.006584203681924805, 'macd_12_26_9': -0.06317389771133719, 'macds_12_26_9': -0.034707702590281976}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 18.636363983154297, '2018-01-04': 19.2727279663086, '2018-01-05': 18.68181800842285, '2018-01-08': 18.863636016845703, '2018-01-09': 19.0, '2018-01-10': 18.81818199157715, '2018-01-11': 18.68181800842285, '2018-01-12': 18.954545974731445, '2018-01-16': 18.636363983154297}, '1_month_later': {'2018-02-02': 17.863636016845703}, '3_months_later': {'2018-04-02': 18.81818199157715}, '6_months_later': {'2018-07-02': 21.636363983154297}, '12_months_later': {'2019-01-02': 17.545454025268555}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PKB
{'date': '2018-01-02', 'ticker': 'PKB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.619998931884766, 'high': 34.939998626708984, 'open': 34.939998626708984, 'close': 34.86000061035156, 'ema_50': 33.50366077356925, 'rsi_14': 64.44445251788369, 'target': 35.470001220703125, 'volume': 92200.0, 'ema_200': 31.038372045598784, 'adj_close': 34.47528839111328, 'rsi_lag_1': 57.09875598401594, 'rsi_lag_2': 64.79291142897773, 'rsi_lag_3': 63.157932032241874, 'rsi_lag_4': 57.26743670268448, 'rsi_lag_5': 46.61653704031244, 'macd_lag_1': 0.3382452227304924, 'macd_lag_2': 0.3366404894696373, 'macd_lag_3': 0.30933196330693846, 'macd_lag_4': 0.29746793523801074, 'macd_lag_5': 0.2851255565541351, 'macd_12_26_9': 0.35000684466992027, 'macds_12_26_9': 0.3189207257387338}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 35.470001220703125, '2018-01-04': 35.290000915527344, '2018-01-05': 35.56999969482422, '2018-01-08': 35.65999984741211, '2018-01-09': 35.63999938964844, '2018-01-10': 35.08000183105469, '2018-01-11': 35.79999923706055, '2018-01-12': 35.86000061035156, '2018-01-16': 35.2599983215332}, '1_month_later': {'2018-02-02': 33.43000030517578}, '3_months_later': {'2018-04-02': 30.309999465942383}, '6_months_later': {'2018-07-02': 30.530000686645508}, '12_months_later': {'2019-01-02': 23.84000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pk
{'date': '2018-01-02', 'ticker': 'pk', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.559999465942383, 'high': 28.989999771118164, 'open': 28.8700008392334, 'close': 28.850000381469727, 'ema_50': 28.63062115060847, 'rsi_14': 57.54716188949854, 'target': 28.940000534057617, 'volume': 1294800.0, 'ema_200': 27.894427912244137, 'adj_close': 19.621437072753903, 'rsi_lag_1': 55.4487222593775, 'rsi_lag_2': 57.6666514078776, 'rsi_lag_3': 63.60423956822524, 'rsi_lag_4': 57.14286579296013, 'rsi_lag_5': 60.19419153729823, 'macd_lag_1': 0.10170811612017872, 'macd_lag_2': 0.12838622660475707, 'macd_lag_3': 0.14427886713613702, 'macd_lag_4': 0.13802871356035595, 'macd_lag_5': 0.1178616974131046, 'macd_12_26_9': 0.08762463416409005, 'macds_12_26_9': 0.0909853895820748}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 28.940000534057617, '2018-01-04': 28.670000076293945, '2018-01-05': 28.690000534057617, '2018-01-08': 28.6200008392334, '2018-01-09': 28.709999084472656, '2018-01-10': 28.84000015258789, '2018-01-11': 29.09000015258789, '2018-01-12': 28.950000762939453, '2018-01-16': 29.049999237060547}, '1_month_later': {'2018-02-02': 28.01000022888184}, '3_months_later': {'2018-04-02': 26.950000762939453}, '6_months_later': {'2018-07-02': 30.489999771118164}, '12_months_later': {'2019-01-02': 25.559999465942383}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PJT
{'date': '2018-01-02', 'ticker': 'PJT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.79999923706055, 'high': 45.845001220703125, 'open': 45.72999954223633, 'close': 45.20000076293945, 'ema_50': 42.40755970664012, 'rsi_14': 68.09956528005647, 'target': 45.02999877929688, 'volume': 100600.0, 'ema_200': 48.01693434789941, 'adj_close': 44.71813201904297, 'rsi_lag_1': 74.13788891540561, 'rsi_lag_2': 73.41767506542897, 'rsi_lag_3': 75.91738564012888, 'rsi_lag_4': 66.59955774117948, 'rsi_lag_5': 58.39695406712841, 'macd_lag_1': 1.1741146835027578, 'macd_lag_2': 1.208436040475405, 'macd_lag_3': 1.246883394032757, 'macd_lag_4': 1.2818925327864577, 'macd_lag_5': 1.2967311527193814, 'macd_12_26_9': 1.10193585782023, 'macds_12_26_9': 1.2267333925932387}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 45.02999877929688, '2018-01-04': 45.97999954223633, '2018-01-05': 46.93000030517578, '2018-01-08': 47.900001525878906, '2018-01-09': 48.84999847412109, '2018-01-10': 47.959999084472656, '2018-01-11': 48.02000045776367, '2018-01-12': 48.86000061035156, '2018-01-16': 47.83000183105469}, '1_month_later': {'2018-02-02': 46.130001068115234}, '3_months_later': {'2018-04-02': 49.5}, '6_months_later': {'2018-07-02': 54.59999847412109}, '12_months_later': {'2019-01-02': 39.7599983215332}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PJP
{'date': '2018-01-02', 'ticker': 'PJP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/news/3320699-u-s-drug-approvals-highest-21-years?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'U.S. drug approvals highest in 21 years', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 64.22000122070312, 'high': 65.68000030517578, 'open': 64.22000122070312, 'close': 65.58000183105469, 'ema_50': 63.9505621390189, 'rsi_14': 60.75036440420463, 'target': 66.31999969482422, 'volume': 67600.0, 'ema_200': 62.77698685321183, 'adj_close': 64.01606750488281, 'rsi_lag_1': 53.819998549252865, 'rsi_lag_2': 67.60559344375037, 'rsi_lag_3': 68.68375871073856, 'rsi_lag_4': 63.58540394323696, 'rsi_lag_5': 57.71510136949706, 'macd_lag_1': 0.36245110151146775, 'macd_lag_2': 0.418840869916977, 'macd_lag_3': 0.41854051539354487, 'macd_lag_4': 0.4161421122497515, 'macd_lag_5': 0.3887005977138145, 'macd_12_26_9': 0.4266195112593607, 'macds_12_26_9': 0.37162529571190295}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 66.31999969482422, '2018-01-04': 66.04000091552734, '2018-01-05': 66.56999969482422, '2018-01-08': 65.86000061035156, '2018-01-09': 66.80000305175781, '2018-01-10': 66.87999725341797, '2018-01-11': 67.62999725341797, '2018-01-12': 67.94000244140625, '2018-01-16': 67.62000274658203}, '1_month_later': {'2018-02-02': 67.27999877929688}, '3_months_later': {'2018-04-02': 60.54999923706055}, '6_months_later': {'2018-07-02': 67.68000030517578}, '12_months_later': {'2019-01-02': 62.459999084472656}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PJH
{'date': '2018-01-02', 'ticker': 'PJH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.100000381469727, 'high': 25.239999771118164, 'open': 25.239999771118164, 'close': 25.100000381469727, 'ema_50': 25.41397924427999, 'rsi_14': 22.772166910909178, 'target': 25.1200008392334, 'volume': 36100.0, 'ema_200': 25.633201286110236, 'adj_close': 22.09748649597168, 'rsi_lag_1': 28.409024407689614, 'rsi_lag_2': 23.529372165612628, 'rsi_lag_3': 30.85106598840629, 'rsi_lag_4': 32.98961571662616, 'rsi_lag_5': 34.40849409129925, 'macd_lag_1': -0.08876088789511982, 'macd_lag_2': -0.0951720030159855, 'macd_lag_3': -0.09687976577113488, 'macd_lag_4': -0.09663212669943277, 'macd_lag_5': -0.09287408074180092, 'macd_12_26_9': -0.09469219589805533, 'macds_12_26_9': -0.08137980337958747}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 25.1200008392334, '2018-01-04': 25.09000015258789, '2018-01-05': 25.14999961853028, '2018-01-08': 25.18000030517578, '2018-01-09': 25.239999771118164, '2018-01-10': 25.25, '2018-01-11': 25.280000686645508, '2018-01-12': 25.280000686645508, '2018-01-16': 25.18000030517578}, '1_month_later': {'2018-02-02': 25.09000015258789}, '3_months_later': {'2018-04-02': 25.18000030517578}, '6_months_later': {'2018-07-02': 25.82999992370605}, '12_months_later': {'2019-01-02': 24.38999938964844}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PIZ
{'date': '2018-01-02', 'ticker': 'PIZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.64999961853028, 'high': 27.770000457763672, 'open': 27.64999961853028, 'close': 27.770000457763672, 'ema_50': 27.37918386797991, 'rsi_14': 64.70579749866559, 'target': 27.989999771118164, 'volume': 50600.0, 'ema_200': 26.12966429992287, 'adj_close': 27.770000457763672, 'rsi_lag_1': 56.756701027384864, 'rsi_lag_2': 66.12897023468003, 'rsi_lag_3': 66.12902233433829, 'rsi_lag_4': 57.14283551769125, 'rsi_lag_5': 57.14283551769149, 'macd_lag_1': 0.057587748412164075, 'macd_lag_2': 0.05236933742769878, 'macd_lag_3': 0.0388377808553102, 'macd_lag_4': 0.028128922581668547, 'macd_lag_5': 0.024233234351761723, 'macd_12_26_9': 0.07218817104178754, 'macds_12_26_9': 0.04385397814298775}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.989999771118164, '2018-01-04': 28.21999931335449, '2018-01-05': 28.38999938964844, '2018-01-08': 28.309999465942383, '2018-01-09': 28.36000061035156, '2018-01-10': 28.15999984741211, '2018-01-11': 28.290000915527344, '2018-01-12': 28.549999237060547, '2018-01-16': 28.709999084472656}, '1_month_later': {'2018-02-02': 28.71999931335449}, '3_months_later': {'2018-04-02': 27.420000076293945}, '6_months_later': {'2018-07-02': 27.1200008392334}, '12_months_later': {'2019-01-02': 22.850000381469727}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLM
{'date': '2018-01-02', 'ticker': 'PLM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.8600000143051147, 'high': 1.0099999904632568, 'open': 0.8700000047683716, 'close': 0.9200000166893004, 'ema_50': 0.6858506103786471, 'rsi_14': 87.8787966361298, 'target': 0.8799999952316284, 'volume': 2055100.0, 'ema_200': 0.6785850149577246, 'adj_close': 0.9200000166893004, 'rsi_lag_1': 82.14286854681063, 'rsi_lag_2': 73.07693542108639, 'rsi_lag_3': 69.23078333838444, 'rsi_lag_4': 47.61904897062738, 'rsi_lag_5': 42.10524994910074, 'macd_lag_1': 0.041113577722757366, 'macd_lag_2': 0.032987403804857096, 'macd_lag_3': 0.02620836358817491, 'macd_lag_4': 0.018192811452040547, 'macd_lag_5': 0.01584288231425246, 'macd_12_26_9': 0.051798032376001446, 'macds_12_26_9': 0.03099839193662046}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 0.8799999952316284, '2018-01-04': 0.8999999761581421, '2018-01-05': 0.9900000095367432, '2018-01-08': 1.1200000047683716, '2018-01-09': 1.059999942779541, '2018-01-10': 1.059999942779541, '2018-01-11': 1.0199999809265137, '2018-01-12': 1.0499999523162842, '2018-01-16': 1.0199999809265137}, '1_month_later': {'2018-02-02': 1.1799999475479126}, '3_months_later': {'2018-04-02': 0.8600000143051147}, '6_months_later': {'2018-07-02': 0.9900000095367432}, '12_months_later': {'2019-01-02': 0.8299999833106995}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PMX
{'date': '2018-01-02', 'ticker': 'PMX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.56999969482422, 'high': 11.6899995803833, 'open': 11.619999885559082, 'close': 11.68000030517578, 'ema_50': 11.737106887145014, 'rsi_14': 43.24330593892105, 'target': 11.6899995803833, 'volume': 64000.0, 'ema_200': 11.771811861504132, 'adj_close': 10.12468433380127, 'rsi_lag_1': 35.38460861297935, 'rsi_lag_2': 29.113953084106768, 'rsi_lag_3': 33.33341484378725, 'rsi_lag_4': 39.53487340536888, 'rsi_lag_5': 46.06743860596589, 'macd_lag_1': -0.04358927053787909, 'macd_lag_2': -0.039492460873388424, 'macd_lag_3': -0.035725416443028735, 'macd_lag_4': -0.03447037888323301, 'macd_lag_5': -0.030330697005400253, 'macd_12_26_9': -0.03832503946788712, 'macds_12_26_9': -0.03137772442959805}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 11.6899995803833, '2018-01-04': 11.699999809265137, '2018-01-05': 11.75, '2018-01-08': 11.729999542236328, '2018-01-09': 11.710000038146973, '2018-01-10': 11.6899995803833, '2018-01-11': 11.619999885559082, '2018-01-12': 11.550000190734863, '2018-01-16': 11.600000381469728}, '1_month_later': {'2018-02-02': 10.9399995803833}, '3_months_later': {'2018-04-02': 11.359999656677246}, '6_months_later': {'2018-07-02': 11.649999618530272}, '12_months_later': {'2019-01-02': 11.5600004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pmt
{'date': '2018-01-02', 'ticker': 'pmt', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 15.829999923706056, 'high': 16.049999237060547, 'open': 15.970000267028809, 'close': 15.90999984741211, 'ema_50': 16.17981936357406, 'rsi_14': 49.83388335906037, 'target': 15.760000228881836, 'volume': 667000.0, 'ema_200': 16.6824969706159, 'adj_close': 8.427566528320312, 'rsi_lag_1': 51.02039823330357, 'rsi_lag_2': 54.15161274107799, 'rsi_lag_3': 61.81099479722622, 'rsi_lag_4': 62.055335670398414, 'rsi_lag_5': 61.599974975595465, 'macd_lag_1': 0.12029205924967812, 'macd_lag_2': 0.14998351165749568, 'macd_lag_3': 0.16635351454804237, 'macd_lag_4': 0.1542825266160186, 'macd_lag_5': 0.1305222163514692, 'macd_12_26_9': 0.0828951550425927, 'macds_12_26_9': 0.10791956539689622}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 15.760000228881836, '2018-01-04': 15.859999656677246, '2018-01-05': 16.040000915527344, '2018-01-08': 15.989999771118164, '2018-01-09': 15.880000114440918, '2018-01-10': 15.920000076293944, '2018-01-11': 16.079999923706055, '2018-01-12': 15.970000267028809, '2018-01-16': 15.800000190734863}, '1_month_later': {'2018-02-02': 15.93000030517578}, '3_months_later': {'2018-04-02': 17.90999984741211}, '6_months_later': {'2018-07-02': 19.200000762939453}, '12_months_later': {'2019-01-02': 18.84000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PML
{'date': '2018-01-02', 'ticker': 'PML', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.170000076293944, 'high': 13.279999732971191, 'open': 13.199999809265137, 'close': 13.229999542236328, 'ema_50': 13.281860772492392, 'rsi_14': 37.09670720808723, 'target': 13.279999732971191, 'volume': 242800.0, 'ema_200': 13.168096663944596, 'adj_close': 11.52577018737793, 'rsi_lag_1': 35.00008741995104, 'rsi_lag_2': 30.000068119426984, 'rsi_lag_3': 32.83581027319168, 'rsi_lag_4': 34.78263874203718, 'rsi_lag_5': 43.03801288543729, 'macd_lag_1': -0.025385225737680983, 'macd_lag_2': -0.019440677949599916, 'macd_lag_3': -0.018697741475646623, 'macd_lag_4': -0.021550240616099003, 'macd_lag_5': -0.01876847511270263, 'macd_12_26_9': -0.025764801524223557, 'macds_12_26_9': -0.012048151719011316}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.279999732971191, '2018-01-04': 13.34000015258789, '2018-01-05': 13.34000015258789, '2018-01-08': 13.329999923706056, '2018-01-09': 13.260000228881836, '2018-01-10': 13.279999732971191, '2018-01-11': 13.260000228881836, '2018-01-12': 13.210000038146973, '2018-01-16': 13.140000343322754}, '1_month_later': {'2018-02-02': 12.470000267028809}, '3_months_later': {'2018-04-02': 12.579999923706056}, '6_months_later': {'2018-07-02': 13.140000343322754}, '12_months_later': {'2019-01-02': 13.510000228881836}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PMF
{'date': '2018-01-02', 'ticker': 'PMF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.039999961853027, 'high': 13.149999618530272, 'open': 13.039999961853027, 'close': 13.130000114440918, 'ema_50': 13.136293226694042, 'rsi_14': 61.53837689335231, 'target': 13.31999969482422, 'volume': 211800.0, 'ema_200': 13.661010996511228, 'adj_close': 11.539589881896973, 'rsi_lag_1': 52.38098481855378, 'rsi_lag_2': 45.833374725075906, 'rsi_lag_3': 45.833374725075906, 'rsi_lag_4': 43.47826988342476, 'rsi_lag_5': 49.019593176981864, 'macd_lag_1': -0.031184499565938495, 'macd_lag_2': -0.035032965360754176, 'macd_lag_3': -0.0424899550179596, 'macd_lag_4': -0.05444436511134576, 'macd_lag_5': -0.05771055926585156, 'macd_12_26_9': -0.017443561400170893, 'macds_12_26_9': -0.04247845699283171}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 13.31999969482422, '2018-01-04': 13.329999923706056, '2018-01-05': 13.31999969482422, '2018-01-08': 13.329999923706056, '2018-01-09': 13.3100004196167, '2018-01-10': 13.229999542236328, '2018-01-11': 13.239999771118164, '2018-01-12': 13.1899995803833, '2018-01-16': 13.130000114440918}, '1_month_later': {'2018-02-02': 12.720000267028809}, '3_months_later': {'2018-04-02': 12.539999961853027}, '6_months_later': {'2018-07-02': 13.329999923706056}, '12_months_later': {'2019-01-02': 12.890000343322754}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PMD
{'date': '2018-01-02', 'ticker': 'PMD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.25, 'high': 21.13999938964844, 'open': 20.670000076293945, 'close': 20.729999542236328, 'ema_50': 19.497703676041713, 'rsi_14': 51.63636868059835, 'target': 20.790000915527344, 'volume': 17800.0, 'ema_200': 19.999266745875453, 'adj_close': 18.311845779418945, 'rsi_lag_1': 50.373108037996175, 'rsi_lag_2': 35.96212973603936, 'rsi_lag_3': 49.37656726243242, 'rsi_lag_4': 53.440384129965835, 'rsi_lag_5': 57.246366128400616, 'macd_lag_1': 0.46548684364719506, 'macd_lag_2': 0.48379600328668815, 'macd_lag_3': 0.5215098410523247, 'macd_lag_4': 0.5620608144760517, 'macd_lag_5': 0.6117522088768332, 'macd_12_26_9': 0.4593986267263368, 'macds_12_26_9': 0.5450685320761713}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 20.790000915527344, '2018-01-04': 20.76000022888184, '2018-01-05': 21.239999771118164, '2018-01-08': 21.25, '2018-01-09': 20.84000015258789, '2018-01-10': 22.63999938964844, '2018-01-11': 21.65999984741211, '2018-01-12': 21.270000457763672, '2018-01-16': 21.43000030517578}, '1_month_later': {'2018-02-02': 19.82999992370605}, '3_months_later': {'2018-04-02': 20.31999969482422}, '6_months_later': {'2018-07-02': 18.959999084472656}, '12_months_later': {'2019-01-02': 16.149999618530273}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PMBC
{'date': '2018-01-02', 'ticker': 'PMBC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.649999618530273, 'high': 8.899999618530273, 'open': 8.899999618530273, 'close': 8.649999618530273, 'ema_50': 9.014407574243696, 'rsi_14': 39.99998910086495, 'target': 8.699999809265137, 'volume': 12000.0, 'ema_200': 8.527486845980642, 'adj_close': 8.649999618530273, 'rsi_lag_1': 44.117652008690776, 'rsi_lag_2': 34.883727119574814, 'rsi_lag_3': 33.33333333333333, 'rsi_lag_4': 29.166663355296976, 'rsi_lag_5': 29.166663355296976, 'macd_lag_1': -0.1290538643335264, 'macd_lag_2': -0.12926261068682443, 'macd_lag_3': -0.13273979202441488, 'macd_lag_4': -0.13524717922949314, 'macd_lag_5': -0.1313893568712654, 'macd_12_26_9': -0.1353968557200247, 'macds_12_26_9': -0.1161954184555383}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 8.699999809265137, '2018-01-04': 8.800000190734863, '2018-01-05': 8.899999618530273, '2018-01-08': 8.800000190734863, '2018-01-09': 8.75, '2018-01-10': 8.75, '2018-01-11': 9.050000190734863, '2018-01-12': 9.050000190734863, '2018-01-16': 8.949999809265137}, '1_month_later': {'2018-02-02': 8.699999809265137}, '3_months_later': {'2018-04-02': 9.399999618530272}, '6_months_later': {'2018-07-02': 9.800000190734863}, '12_months_later': {'2019-01-02': 7.400000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLNT
{'date': '2018-01-02', 'ticker': 'PLNT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.869998931884766, 'high': 34.25, 'open': 34.25, 'close': 32.959999084472656, 'ema_50': 31.106970117396216, 'rsi_14': 61.45338072072421, 'target': 32.900001525878906, 'volume': 1764700.0, 'ema_200': 26.08818919563445, 'adj_close': 32.959999084472656, 'rsi_lag_1': 73.53498343599603, 'rsi_lag_2': 74.09520896169829, 'rsi_lag_3': 76.05631910983328, 'rsi_lag_4': 77.28084024248888, 'rsi_lag_5': 78.10343342078622, 'macd_lag_1': 1.2375087850852253, 'macd_lag_2': 1.2680222991075283, 'macd_lag_3': 1.2691793633895116, 'macd_lag_4': 1.2715407221432145, 'macd_lag_5': 1.237732233012519, 'macd_12_26_9': 1.066279990103844, 'macds_12_26_9': 1.1650676322201592}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 32.900001525878906, '2018-01-04': 32.5099983215332, '2018-01-05': 33.70000076293945, '2018-01-08': 33.4900016784668, '2018-01-09': 33.09000015258789, '2018-01-10': 32.65999984741211, '2018-01-11': 33.52000045776367, '2018-01-12': 32.369998931884766, '2018-01-16': 31.8799991607666}, '1_month_later': {'2018-02-02': 33.90999984741211}, '3_months_later': {'2018-04-02': 36.41999816894531}, '6_months_later': {'2018-07-02': 44.5}, '12_months_later': {'2019-01-02': 53.58000183105469}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PM
{'date': '2018-01-02', 'ticker': 'PM', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/better-buy-procter-gamble-company-vs-philip-morris-international-2018-01-02', 'news_author': None, 'news_article': 'Procter & Gamble (NYSE: PG) and Philip Morris (NYSE: PM) have long been bastions of bountiful dividend income for investors. With the consumer-goods giant and tobacco titan currently yielding 3% and 4.1%, respectively, that remains the case today.\nBut which of these dividend dynamos is the better buy? Let\'s find out.\nFinancial fortitude\nLet\'s take a look at some key metrics to see how Procter & Gamble and Philip Morris stack up in regards to financial strength.\nDATA SOURCE: MORNINGSTAR.\nP&G\'s revenue dwarfs that of Philip Morris. Its operating income and cash flow are also significantly greater. And while Procter & Gamble and Philip Morris have similar debt levels, P&G has $8 billion more in cash reserves. For these reasons, I give the edge to Procter & Gamble when it comes to financial fortitude.\nAdvantage: Procter & Gamble.\nGrowth\nPhilip Morris and P&G have seen their revenues decline at similar rates in recent years. Declining smoking rates, greater restrictions on tobacco products, and a strong U.S. dollar have all dented Philip Morris\' sales during this time. P&G, meanwhile, is facing intensifying competition from e-commerce-based rivals. Yet a large portion of its sales decline is due to its brand divestiture program , which is now mostly complete. Moreover, P&G\'s cost-cutting initiatives have helped it expand its margins , thereby allowing the consumer-goods giant to grow its operating profits despite its lower revenue base.\nPG Revenue (TTM) data by YCharts.\nHowever, over the next five years, Wall Street expects Philip Morris to increase its earnings per share at an annualized rate of nearly 10%, fueled by the growth of its reduced-risk products . Procter & Gamble is projected to grow its earnings per share (EPS) by only about 7% annually during this time. Ultimately, it\'s future growth that matters most to today\'s investor, so I\'ll give a slight edge to Philip Morris.\nAdvantage: Philip Morris.\nValuation\nNo better-buy discussion should take place without a look at valuation. Let\'s check out some key value metrics for P&G and Philip Morris, including price-to-free-cash-flow and price-to-earnings ratios.\nDATA SOURCE: MORNINGSTAR, Yahoo! Finance.\nThese two dividend stars are currently trading at remarkably similar price-to-free-cash-flow and price-to-earnings multiples, so I\'ll call it a draw in terms of valuation.\nAdvantage: None.\nAdditional factors\nWith this better-buy analysis all tied up after three rounds, let\'s look at some additional criteria to help you decide what\'s best for your portfolio.\nSome investors may object to investing in certain industries. So-called " sin stocks " -- such as those in the tobacco, alcohol, and gambling industries -- often fall into this category. If it makes you uncomfortable to invest in a cigarette maker like Philip Morris, then that could help make this better-buy choice an easy decision for you.\nSecondly, I should note that Procter & Gamble is currently under pressure from activist investor Nelson Peltz. Peltz recently won a seat on the company\'s board, and he could push for P&G to break itself up . If this situation makes you uneasy, you may want to stay clear of Procter & Gamble\'s stock for the time being.\nAdvantage: You decide.\nUltimately, you\'ll have to decide which of these factors is more important to you. If you appreciate balance-sheet strength and superior cash flow generation, then Procter & Gamble is the way to go. If strong future growth potential is more important to you, then Philip Morris may be the better choice. Either way, you\'ll be buying a solid business that should reward you with steadily rising dividend income in the years ahead.\n10 stocks we like better than Procter & Gamble\nWhen investing geniuses David and Tom Gardner have a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.*\nDavid and Tom just revealed what they believe are the 10 best stocks for investors to buy right now... and Procter & Gamble wasn\'t one of them! That\'s right -- they think these 10 stocks are even better buys.\nClick here to learn about these picks!\n*Stock Advisor returns as of January 2, 2018\nJoe Tenebruso has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy .\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Procter & Gamble (NYSE: PG) and Philip Morris (NYSE: PM) have long been bastions of bountiful dividend income for investors. Declining smoking rates, greater restrictions on tobacco products, and a strong U.S. dollar have all dented Philip Morris' sales during this time. Moreover, P&G's cost-cutting initiatives have helped it expand its margins , thereby allowing the consumer-goods giant to grow its operating profits despite its lower revenue base.", 'news_luhn_summary': 'Procter & Gamble (NYSE: PG) and Philip Morris (NYSE: PM) have long been bastions of bountiful dividend income for investors. Growth Philip Morris and P&G have seen their revenues decline at similar rates in recent years. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor , has tripled the market.', 'news_article_title': 'Better Buy: Procter & Gamble Company vs. Philip Morris International', 'news_lexrank_summary': 'Procter & Gamble (NYSE: PG) and Philip Morris (NYSE: PM) have long been bastions of bountiful dividend income for investors. Advantage: Procter & Gamble. Advantage: Philip Morris.', 'news_textrank_summary': "Procter & Gamble (NYSE: PG) and Philip Morris (NYSE: PM) have long been bastions of bountiful dividend income for investors. Financial fortitude Let's take a look at some key metrics to see how Procter & Gamble and Philip Morris stack up in regards to financial strength. And while Procter & Gamble and Philip Morris have similar debt levels, P&G has $8 billion more in cash reserves."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 104.16000366210938, 'high': 106.16999816894533, 'open': 105.81999969482422, 'close': 104.38999938964844, 'ema_50': 106.3489378600731, 'rsi_14': 44.210517862162185, 'target': 104.26000213623048, 'volume': 5126800.0, 'ema_200': 108.92722009734021, 'adj_close': 90.26759338378906, 'rsi_lag_1': 46.52881902594953, 'rsi_lag_2': 42.622943008761006, 'rsi_lag_3': 39.38279757473561, 'rsi_lag_4': 45.544555452655146, 'rsi_lag_5': 50.129369202381994, 'macd_lag_1': -0.06405177459326694, 'macd_lag_2': -0.08142263607504674, 'macd_lag_3': -0.016882166081700234, 'macd_lag_4': 0.07592216449060629, 'macd_lag_5': 0.2543606686662514, 'macd_12_26_9': -0.15022518145532615, 'macds_12_26_9': 0.08576597497230563}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 104.26000213623048, '2018-01-04': 103.47000122070312, '2018-01-05': 104.3000030517578, '2018-01-08': 104.13999938964844, '2018-01-09': 104.88999938964844, '2018-01-10': 105.62999725341795, '2018-01-11': 104.86000061035156, '2018-01-12': 104.5, '2018-01-16': 104.87000274658205}, '1_month_later': {'2018-02-02': 103.44000244140624}, '3_months_later': {'2018-04-02': 97.54000091552734}, '6_months_later': {'2018-07-02': 80.23999786376953}, '12_months_later': {'2019-01-02': 67.30999755859375}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLXS
{'date': '2018-01-02', 'ticker': 'PLXS', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 60.45000076293945, 'high': 61.369998931884766, 'open': 61.040000915527344, 'close': 61.08000183105469, 'ema_50': 60.507316200076914, 'rsi_14': 49.74875335144627, 'target': 61.15999984741211, 'volume': 98500.0, 'ema_200': 56.236462266229026, 'adj_close': 61.08000183105469, 'rsi_lag_1': 48.5420363594487, 'rsi_lag_2': 49.30553807884521, 'rsi_lag_3': 46.6179193472462, 'rsi_lag_4': 44.815456185551476, 'rsi_lag_5': 45.13271109814783, 'macd_lag_1': -0.09934816102339994, 'macd_lag_2': -0.07084529333729961, 'macd_lag_3': -0.04158004507125668, 'macd_lag_4': 0.044232135619033386, 'macd_lag_5': 0.12562573879704786, 'macd_12_26_9': -0.09182929743290913, 'macds_12_26_9': 0.02327797021888118}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 61.15999984741211, '2018-01-04': 61.90999984741211, '2018-01-05': 62.220001220703125, '2018-01-08': 65.12000274658203, '2018-01-09': 64.52999877929688, '2018-01-10': 63.7599983215332, '2018-01-11': 64.55000305175781, '2018-01-12': 65.87000274658203, '2018-01-16': 63.77000045776367}, '1_month_later': {'2018-02-02': 59.81999969482422}, '3_months_later': {'2018-04-02': 58.7400016784668}, '6_months_later': {'2018-07-02': 60.29999923706055}, '12_months_later': {'2019-01-02': 51.7400016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLX
{'date': '2018-01-02', 'ticker': 'PLX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.benzinga.com/news/18/01/10973966/28-stocks-moving-in-tuesdays-mid-day-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "28 Stocks Moving In Tuesday's Mid-Day Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10971999/22-stocks-moving-in-tuesdays-pre-market-session', 'news_author': None, 'news_article': None, 'news_publisher': 'Lisa Levin', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "22 Stocks Moving In Tuesday's Pre-Market Session", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.benzinga.com/news/18/01/10971607/protalix-biotherapeutics-reports-positive-interim-data-from-phase-ii-clinical-tr', 'news_author': None, 'news_article': None, 'news_publisher': 'Paul Quintaro', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Protalix BioTherapeutics Reports 'Positive' Interim Data from Phase II Clinical Trial of OPRX-106 in Patients with Ulcerative Colitis", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'https://www.nasdaq.com/articles/health-care-sector-update-01022018-jnj-pfe-abt-mrk-amgn-sngx-btx-plx-masi-bgne-2018-01-02', 'news_author': None, 'news_article': 'Top Health care stocks:\nJNJ: -0.2%\nPFE: +0.4%\nABT: +0.2.9%\nMRK: flat\nAMGN: flat\nHealth care shares were higher in pre-market trading Tuesday.\nExpected movers:\n- Soligenix ( SNGX ): gets US patent for use of Dusquetide in oral mucositis\n- BioTime ( BTX ): unit identifies genes implicated in tissue regeneration, cancer\n- Protalix BioTherapeutics ( PLX ): reports encouraging interim data from trial of OPRX-106 to treat ulcerative colitis\nOther news:\n- Masimo ( MASI ): gets CE mark for oxygen reserve index rainbow Lite sensors\n- Merck ( MRK ): Keytruda approved in Japan for patients with urothelial carcinoma\n- Beigene (BGNE): starts patient dosing in phase 3 trial of liver cancer drug\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nCopyright (C) 2016 MTNewswires.com. All rights reserved. Unauthorized reproduction is strictly prohibited.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Expected movers: - Soligenix ( SNGX ): gets US patent for use of Dusquetide in oral mucositis - BioTime ( BTX ): unit identifies genes implicated in tissue regeneration, cancer - Protalix BioTherapeutics ( PLX ): reports encouraging interim data from trial of OPRX-106 to treat ulcerative colitis Other news: - Masimo ( MASI ): gets CE mark for oxygen reserve index rainbow Lite sensors - Merck ( MRK ): Keytruda approved in Japan for patients with urothelial carcinoma - Beigene (BGNE): starts patient dosing in phase 3 trial of liver cancer drug The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. Top Health care stocks: MRK: flat AMGN: flat Health care shares were higher in pre-market trading Tuesday.', 'news_luhn_summary': 'Expected movers: - Soligenix ( SNGX ): gets US patent for use of Dusquetide in oral mucositis - BioTime ( BTX ): unit identifies genes implicated in tissue regeneration, cancer - Protalix BioTherapeutics ( PLX ): reports encouraging interim data from trial of OPRX-106 to treat ulcerative colitis Other news: - Masimo ( MASI ): gets CE mark for oxygen reserve index rainbow Lite sensors - Merck ( MRK ): Keytruda approved in Japan for patients with urothelial carcinoma - Beigene (BGNE): starts patient dosing in phase 3 trial of liver cancer drug The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. MRK: flat AMGN: flat Health care shares were higher in pre-market trading Tuesday. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_article_title': 'Health Care Sector Update for 01/02/2018: JNJ, PFE, ABT, MRK, AMGN, SNGX, BTX, PLX, MASI, BGNE', 'news_lexrank_summary': 'Expected movers: - Soligenix ( SNGX ): gets US patent for use of Dusquetide in oral mucositis - BioTime ( BTX ): unit identifies genes implicated in tissue regeneration, cancer - Protalix BioTherapeutics ( PLX ): reports encouraging interim data from trial of OPRX-106 to treat ulcerative colitis Other news: - Masimo ( MASI ): gets CE mark for oxygen reserve index rainbow Lite sensors - Merck ( MRK ): Keytruda approved in Japan for patients with urothelial carcinoma - Beigene (BGNE): starts patient dosing in phase 3 trial of liver cancer drug The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. Top Health care stocks: MRK: flat AMGN: flat Health care shares were higher in pre-market trading Tuesday.', 'news_textrank_summary': 'Expected movers: - Soligenix ( SNGX ): gets US patent for use of Dusquetide in oral mucositis - BioTime ( BTX ): unit identifies genes implicated in tissue regeneration, cancer - Protalix BioTherapeutics ( PLX ): reports encouraging interim data from trial of OPRX-106 to treat ulcerative colitis Other news: - Masimo ( MASI ): gets CE mark for oxygen reserve index rainbow Lite sensors - Merck ( MRK ): Keytruda approved in Japan for patients with urothelial carcinoma - Beigene (BGNE): starts patient dosing in phase 3 trial of liver cancer drug The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc. MRK: flat AMGN: flat Health care shares were higher in pre-market trading Tuesday. Unauthorized reproduction is strictly prohibited.'}, {'news_url': 'https://seekingalpha.com/news/3320567-protalix-9-percent-premarket-positive-interim-data-oprxminus-106-uc-patients?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Protalix up 9% premarket on positive interim data on OPRX-106 in UC patients', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.800000190734863, 'high': 7.199999809265137, 'open': 7.099999904632568, 'close': 6.900000095367432, 'ema_50': 6.619836879232927, 'rsi_14': 66.66666666666666, 'target': 7.099999904632568, 'volume': 218700.0, 'ema_200': 7.111396834584025, 'adj_close': 6.900000095367432, 'rsi_lag_1': 64.28571671855676, 'rsi_lag_2': 56.24999254942119, 'rsi_lag_3': 50.0, 'rsi_lag_4': 47.058826829322335, 'rsi_lag_5': 37.500003725288295, 'macd_lag_1': -0.07217671574938223, 'macd_lag_2': -0.09270781071884038, 'macd_lag_3': -0.12774628497744267, 'macd_lag_4': -0.1604281831416161, 'macd_lag_5': -0.19980866868000913, 'macd_12_26_9': -0.03133693421042505, 'macds_12_26_9': -0.11942622269399339}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 7.099999904632568, '2018-01-04': 7.199999809265137, '2018-01-05': 7.400000095367432, '2018-01-08': 7.300000190734863, '2018-01-09': 7.199999809265137, '2018-01-10': 7.0, '2018-01-11': 7.099999904632568, '2018-01-12': 7.400000095367432, '2018-01-16': 7.300000190734863}, '1_month_later': {'2018-02-02': 6.800000190734863}, '3_months_later': {'2018-04-02': 5.099999904632568}, '6_months_later': {'2018-07-02': 4.300000190734863}, '12_months_later': {'2019-01-02': 3.400000095367432}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLSE
{'date': '2018-01-02', 'ticker': 'PLSE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.729999542236328, 'high': 24.07999992370605, 'open': 23.84000015258789, 'close': 22.88999938964844, 'ema_50': 23.606856101811616, 'rsi_14': 40.510946364554, 'target': 23.059999465942383, 'volume': 108000.0, 'ema_200': 21.76216212852178, 'adj_close': 22.88999938964844, 'rsi_lag_1': 53.720505339881775, 'rsi_lag_2': 62.167297553772855, 'rsi_lag_3': 65.33099134914636, 'rsi_lag_4': 59.6184513721541, 'rsi_lag_5': 60.86286834764187, 'macd_lag_1': -0.04708663195758689, 'macd_lag_2': -0.031333680733826696, 'macd_lag_3': -0.0677895514389526, 'macd_lag_4': -0.09297075525509868, 'macd_lag_5': -0.1400499139887259, 'macd_12_26_9': -0.11553034372311899, 'macds_12_26_9': -0.0864603577017942}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.059999465942383, '2018-01-04': 22.84000015258789, '2018-01-05': 23.84000015258789, '2018-01-08': 24.020000457763672, '2018-01-09': 24.690000534057617, '2018-01-10': 24.21999931335449, '2018-01-11': 23.18000030517578, '2018-01-12': 23.06999969482422, '2018-01-16': 23.26000022888184}, '1_month_later': {'2018-02-02': 19.76000022888184}, '3_months_later': {'2018-04-02': 14.039999961853027}, '6_months_later': {'2018-07-02': 15.989999771118164}, '12_months_later': {'2019-01-02': 12.460000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PLPC
{'date': '2018-01-02', 'ticker': 'PLPC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.4000015258789, 'high': 78.0, 'open': 74.23999786376953, 'close': 72.4000015258789, 'ema_50': 73.62244434436208, 'rsi_14': 39.23937465565303, 'target': 76.55000305175781, 'volume': 10300.0, 'ema_200': 62.03933168479241, 'adj_close': 69.9433364868164, 'rsi_lag_1': 40.724569726573826, 'rsi_lag_2': 40.939008660154954, 'rsi_lag_3': 41.98919935256547, 'rsi_lag_4': 44.4644278396851, 'rsi_lag_5': 35.97685780292829, 'macd_lag_1': -0.8530403532642907, 'macd_lag_2': -0.5874898857519497, 'macd_lag_3': -0.4568780655914395, 'macd_lag_4': -0.38228814937686195, 'macd_lag_5': -0.33752327169446517, 'macd_12_26_9': -0.9436792702940551, 'macds_12_26_9': -0.37184355472770864}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 76.55000305175781, '2018-01-04': 84.4000015258789, '2018-01-05': 82.38999938964844, '2018-01-08': 81.19999694824219, '2018-01-09': 80.0, '2018-01-10': 78.95999908447266, '2018-01-11': 81.3499984741211, '2018-01-12': 81.5, '2018-01-16': 82.1500015258789}, '1_month_later': {'2018-02-02': 68.8499984741211}, '3_months_later': {'2018-04-02': 66.08999633789062}, '6_months_later': {'2018-07-02': 90.54000091552734}, '12_months_later': {'2019-01-02': 55.68000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRMW
{'date': '2018-01-02', 'ticker': 'PRMW', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.31999969482422, 'high': 12.670000076293944, 'open': 12.670000076293944, 'close': 12.479999542236328, 'ema_50': 12.359726722386899, 'rsi_14': 53.27868724311357, 'target': 12.420000076293944, 'volume': 124591.0, 'ema_200': 12.224990334955864, 'adj_close': 12.369790077209473, 'rsi_lag_1': 45.29615752180163, 'rsi_lag_2': 37.72240809258994, 'rsi_lag_3': 36.805559924725955, 'rsi_lag_4': 36.177475957955004, 'rsi_lag_5': 35.99320607955495, 'macd_lag_1': -0.0007777547840319698, 'macd_lag_2': -0.004756704866913708, 'macd_lag_3': 0.014670236702848172, 'macd_lag_4': 0.037216282982093674, 'macd_lag_5': 0.06137918545555188, 'macd_12_26_9': -0.004830979799793411, 'macds_12_26_9': 0.04569970907612456}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 12.420000076293944, '2018-01-04': 12.449999809265137, '2018-01-05': 12.5600004196167, '2018-01-08': 12.699999809265137, '2018-01-09': 12.920000076293944, '2018-01-10': 12.600000381469728, '2018-01-11': 12.829999923706056, '2018-01-12': 13.100000381469728, '2018-01-16': 12.949999809265137}, '1_month_later': {'2018-02-02': 12.579999923706056}, '3_months_later': {'2018-04-02': 11.770000457763672}, '6_months_later': {'2018-07-02': 17.520000457763672}, '12_months_later': {'2019-01-02': 14.0600004196167}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRNT
{'date': '2018-01-02', 'ticker': 'PRNT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 24.420000076293945, 'high': 24.709999084472656, 'open': 24.600000381469727, 'close': 24.709999084472656, 'ema_50': 25.21299083848489, 'rsi_14': 41.99382129626493, 'target': 24.832000732421875, 'volume': 17100.0, 'ema_200': 24.648852510146405, 'adj_close': 24.496919631958008, 'rsi_lag_1': 34.47821471812652, 'rsi_lag_2': 28.279337723167657, 'rsi_lag_3': 26.430701620624816, 'rsi_lag_4': 28.443772093282305, 'rsi_lag_5': 28.11334216695586, 'macd_lag_1': -0.3256840136762982, 'macd_lag_2': -0.31568734658055675, 'macd_lag_3': -0.28520163232872875, 'macd_lag_4': -0.23603335131748793, 'macd_lag_5': -0.21769800853097365, 'macd_12_26_9': -0.3026024139755066, 'macds_12_26_9': -0.25665469223379667}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 24.832000732421875, '2018-01-04': 25.14900016784668, '2018-01-05': 25.40999984741211, '2018-01-08': 25.481000900268555, '2018-01-09': 25.57999992370605, '2018-01-10': 25.6200008392334, '2018-01-11': 26.0, '2018-01-12': 26.420000076293945, '2018-01-16': 26.25}, '1_month_later': {'2018-02-02': 25.299999237060547}, '3_months_later': {'2018-04-02': 23.350000381469727}, '6_months_later': {'2018-07-02': 24.52300071716309}, '12_months_later': {'2019-01-02': 20.0}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PRO
{'date': '2018-01-02', 'ticker': 'PRO', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.34000015258789, 'high': 27.100000381469727, 'open': 26.450000762939453, 'close': 27.030000686645508, 'ema_50': 25.635591814786167, 'rsi_14': 47.22222590151993, 'target': 27.65999984741211, 'volume': 275200.0, 'ema_200': 25.06462153220995, 'adj_close': 27.030000686645508, 'rsi_lag_1': 65.53288315310121, 'rsi_lag_2': 61.05610436405043, 'rsi_lag_3': 61.7297277234613, 'rsi_lag_4': 61.6052012273228, 'rsi_lag_5': 62.21743936520813, 'macd_lag_1': 0.34862580017688316, 'macd_lag_2': 0.36045575665258767, 'macd_lag_3': 0.3937304195061948, 'macd_lag_4': 0.43658303779702123, 'macd_lag_5': 0.4930737095521529, 'macd_12_26_9': 0.3816521723485202, 'macds_12_26_9': 0.4188002021090318}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 27.65999984741211, '2018-01-04': 27.690000534057617, '2018-01-05': 27.51000022888184, '2018-01-08': 27.020000457763672, '2018-01-09': 26.940000534057617, '2018-01-10': 26.76000022888184, '2018-01-11': 27.780000686645508, '2018-01-12': 28.65999984741211, '2018-01-16': 27.950000762939453}, '1_month_later': {'2018-02-02': 27.790000915527344}, '3_months_later': {'2018-04-02': 32.150001525878906}, '6_months_later': {'2018-07-02': 37.0099983215332}, '12_months_later': {'2019-01-02': 30.950000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTY
{'date': '2018-01-02', 'ticker': 'PTY', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.389999389648438, 'high': 16.670000076293945, 'open': 16.510000228881836, 'close': 16.520000457763672, 'ema_50': 16.53902454646203, 'rsi_14': 51.31582249572101, 'target': 16.639999389648438, 'volume': 630900.0, 'ema_200': 16.305105283731205, 'adj_close': 13.114309310913086, 'rsi_lag_1': 47.14277929155313, 'rsi_lag_2': 31.506888686250576, 'rsi_lag_3': 31.08110894600641, 'rsi_lag_4': 30.66660563151042, 'rsi_lag_5': 32.87670159120006, 'macd_lag_1': -0.05473414095203921, 'macd_lag_2': -0.06451842449387968, 'macd_lag_3': -0.06588661558413378, 'macd_lag_4': -0.06667457416719813, 'macd_lag_5': -0.06874669990395432, 'macd_12_26_9': -0.04165820650770513, 'macds_12_26_9': -0.061176018362824804}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 16.639999389648438, '2018-01-04': 16.770000457763672, '2018-01-05': 16.799999237060547, '2018-01-08': 16.899999618530273, '2018-01-09': 16.809999465942383, '2018-01-10': 16.75, '2018-01-11': 16.489999771118164, '2018-01-12': 16.489999771118164, '2018-01-16': 16.450000762939453}, '1_month_later': {'2018-02-02': 16.459999084472656}, '3_months_later': {'2018-04-02': 16.799999237060547}, '6_months_later': {'2018-07-02': 17.639999389648438}, '12_months_later': {'2019-01-02': 15.609999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTVCB
{'date': '2018-01-02', 'ticker': 'PTVCB', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 23.25, 'high': 23.89999961853028, 'open': 23.89999961853028, 'close': 23.25, 'ema_50': 23.44251489158281, 'rsi_14': 48.148142915372425, 'target': 23.450000762939453, 'volume': 9800.0, 'ema_200': 23.535173964358965, 'adj_close': 21.29059791564941, 'rsi_lag_1': 66.66666666666677, 'rsi_lag_2': 59.57447499265474, 'rsi_lag_3': 46.808519272740405, 'rsi_lag_4': 51.11109415690104, 'rsi_lag_5': 51.1110941569012, 'macd_lag_1': 0.12780202232933746, 'macd_lag_2': 0.12052404253940097, 'macd_lag_3': 0.10948161680694923, 'macd_lag_4': 0.12434057733108617, 'macd_lag_5': 0.12622473557036074, 'macd_12_26_9': 0.07620719324275882, 'macds_12_26_9': 0.1117135391933775}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.450000762939453, '2018-01-04': 23.549999237060547, '2018-01-05': 23.39999961853028, '2018-01-08': 23.299999237060547, '2018-01-09': 22.950000762939453, '2018-01-10': 23.350000381469727, '2018-01-11': 23.850000381469727, '2018-01-12': 24.049999237060547, '2018-01-16': 23.600000381469727}, '1_month_later': {'2018-02-02': 22.950000762939453}, '3_months_later': {'2018-04-02': 22.299999237060547}, '6_months_later': {'2018-07-02': 24.600000381469727}, '12_months_later': {'2019-01-02': 16.469999313354492}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTVCA
{'date': '2018-01-02', 'ticker': 'PTVCA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.920000076293945, 'high': 23.06999969482422, 'open': 22.920000076293945, 'close': 23.06999969482422, 'ema_50': 23.18057868328352, 'rsi_14': 49.04457940993078, 'target': 23.309999465942383, 'volume': 600.0, 'ema_200': 23.406249231238892, 'adj_close': 21.17108917236328, 'rsi_lag_1': 67.62820649977783, 'rsi_lag_2': 58.93855009039927, 'rsi_lag_3': 51.00000667571812, 'rsi_lag_4': 44.63277262326827, 'rsi_lag_5': 59.39849228695307, 'macd_lag_1': 0.26786358825192025, 'macd_lag_2': 0.22893418417869782, 'macd_lag_3': 0.16471609451956937, 'macd_lag_4': 0.198463664989049, 'macd_lag_5': 0.30890569236521515, 'macd_12_26_9': 0.2011801786285794, 'macds_12_26_9': 0.22482390300737073}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-04': 23.309999465942383, '2018-01-05': 23.59000015258789, '2018-01-10': 23.299999237060547, '2018-01-12': 23.84000015258789, '2018-01-16': 23.75}, '6_months_later': {'2018-07-02': 23.51000022888184}, '12_months_later': {'2019-01-02': 16.700000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTSI
{'date': '2018-01-02', 'ticker': 'PTSI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.79999923706055, 'high': 37.15999984741211, 'open': 34.79999923706055, 'close': 36.27999877929688, 'ema_50': 33.872268635641404, 'rsi_14': 46.86736924571098, 'target': 35.70000076293945, 'volume': 11000.0, 'ema_200': 26.154163489711433, 'adj_close': 36.27999877929688, 'rsi_lag_1': 40.31078977144941, 'rsi_lag_2': 44.14415205638575, 'rsi_lag_3': 51.090714474040354, 'rsi_lag_4': 41.794082512583465, 'rsi_lag_5': 52.67702520764247, 'macd_lag_1': 0.29305195674350415, 'macd_lag_2': 0.4841106576863794, 'macd_lag_3': 0.6038383619612802, 'macd_lag_4': 0.6134713775887803, 'macd_lag_5': 0.6524799850862806, 'macd_12_26_9': 0.2876006937495603, 'macds_12_26_9': 0.6045322212838368}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 35.70000076293945, '2018-01-04': 34.91999816894531, '2018-01-05': 36.20000076293945, '2018-01-08': 36.7599983215332, '2018-01-09': 38.47999954223633, '2018-01-10': 37.27999877929688, '2018-01-11': 36.86000061035156, '2018-01-12': 36.060001373291016, '2018-01-16': 35.95000076293945}, '1_month_later': {'2018-02-02': 38.150001525878906}, '3_months_later': {'2018-04-02': 35.84000015258789}, '6_months_later': {'2018-07-02': 48.5099983215332}, '12_months_later': {'2019-01-02': 38.84000015258789}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTR
{'date': '2018-01-02', 'ticker': 'PTR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 70.73999786376953, 'high': 72.11000061035156, 'open': 71.2699966430664, 'close': 72.0, 'ema_50': 68.00309857171663, 'rsi_14': 77.58429890590119, 'target': 71.66999816894531, 'volume': 154800.0, 'ema_200': 67.3530116015615, 'adj_close': 65.9704818725586, 'rsi_lag_1': 73.3849910152696, 'rsi_lag_2': 77.38241344477858, 'rsi_lag_3': 79.40025245617578, 'rsi_lag_4': 67.21854834431286, 'rsi_lag_5': 64.74736490102858, 'macd_lag_1': 0.8013244933425199, 'macd_lag_2': 0.8286833300674203, 'macd_lag_3': 0.8230406120668619, 'macd_lag_4': 0.7600851029345819, 'macd_lag_5': 0.6422022522741457, 'macd_12_26_9': 0.9350878938208922, 'macds_12_26_9': 0.6944890120224675}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 71.66999816894531, '2018-01-04': 74.91999816894531, '2018-01-05': 74.5, '2018-01-08': 74.4000015258789, '2018-01-09': 73.80999755859375, '2018-01-10': 74.4000015258789, '2018-01-11': 76.2699966430664, '2018-01-12': 76.83999633789062, '2018-01-16': 75.16999816894531}, '1_month_later': {'2018-02-02': 78.58000183105469}, '3_months_later': {'2018-04-02': 67.27999877929688}, '6_months_later': {'2018-07-02': 74.54000091552734}, '12_months_later': {'2019-01-02': 60.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTNR
{'date': '2018-01-02', 'ticker': 'PTNR', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.210000038146973, 'high': 6.369999885559082, 'open': 6.25, 'close': 6.340000152587891, 'ema_50': 5.718353287822464, 'rsi_14': 61.87500074505788, 'target': 6.340000152587891, 'volume': 8300.0, 'ema_200': 5.355033044133584, 'adj_close': 6.340000152587891, 'rsi_lag_1': 54.79451428437056, 'rsi_lag_2': 57.97100347572675, 'rsi_lag_3': 59.1549172805383, 'rsi_lag_4': 58.57143100426939, 'rsi_lag_5': 50.84745625729146, 'macd_lag_1': 0.16384623741298388, 'macd_lag_2': 0.16764645878587459, 'macd_lag_3': 0.16089482586122283, 'macd_lag_4': 0.14993699873395894, 'macd_lag_5': 0.13682444312155084, 'macd_12_26_9': 0.17415836212801405, 'macds_12_26_9': 0.16121983592772302}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 6.340000152587891, '2018-01-04': 6.460000038146973, '2018-01-05': 6.46999979019165, '2018-01-08': 6.489999771118164, '2018-01-09': 6.570000171661377, '2018-01-10': 6.519999980926514, '2018-01-11': 6.559999942779541, '2018-01-12': 6.599999904632568, '2018-01-16': 6.130000114440918}, '1_month_later': {'2018-02-02': 5.599999904632568}, '6_months_later': {'2018-07-02': 3.630000114440918}, '12_months_later': {'2019-01-02': 4.710000038146973}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTNQ
{'date': '2018-01-02', 'ticker': 'PTNQ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.60000038146973, 'high': 30.729999542236328, 'open': 30.621999740600582, 'close': 30.729999542236328, 'ema_50': 29.896295240124708, 'rsi_14': 63.05968593839761, 'target': 31.02899932861328, 'volume': 12200.0, 'ema_200': 27.98061114426089, 'adj_close': 30.4575309753418, 'rsi_lag_1': 58.403370484221014, 'rsi_lag_2': 63.7438082404964, 'rsi_lag_3': 66.41704132442067, 'rsi_lag_4': 70.794480919206, 'rsi_lag_5': 80.48339454901854, 'macd_lag_1': 0.16330894691031617, 'macd_lag_2': 0.1901487757294582, 'macd_lag_3': 0.21044029472131243, 'macd_lag_4': 0.234296907070199, 'macd_lag_5': 0.2562478331374116, 'macd_12_26_9': 0.1787100821516603, 'macds_12_26_9': 0.20256767698837722}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 31.02899932861328, '2018-01-04': 31.10000038146973, '2018-01-05': 31.38999938964844, '2018-01-08': 31.5009994506836, '2018-01-09': 31.520000457763672, '2018-01-10': 31.440000534057614, '2018-01-11': 31.60000038146973, '2018-01-12': 31.90999984741211, '2018-01-16': 31.77199935913086}, '1_month_later': {'2018-02-02': 31.88999938964844}, '3_months_later': {'2018-04-02': 30.15999984741211}, '6_months_later': {'2018-07-02': 33.56999969482422}, '12_months_later': {'2019-01-02': 32.700000762939446}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
ptn
{'date': '2018-01-02', 'ticker': 'ptn', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.75, 'high': 22.0, 'open': 21.5, 'close': 21.0, 'ema_50': 20.64033263756163, 'rsi_14': 48.14814814814815, 'target': 23.25, 'volume': 52828.0, 'ema_200': 15.963622864597648, 'adj_close': 21.0, 'rsi_lag_1': 48.14814814814815, 'rsi_lag_2': 48.14814814814815, 'rsi_lag_3': 43.33333333333333, 'rsi_lag_4': 38.23529411764706, 'rsi_lag_5': 36.36363636363636, 'macd_lag_1': -0.012403109092890219, 'macd_lag_2': -0.021601205349814023, 'macd_lag_3': -0.007572576130844055, 'macd_lag_4': -0.015011342820361762, 'macd_lag_5': -0.049742112772154456, 'macd_12_26_9': -0.044941317334977526, 'macds_12_26_9': 0.04634080820227733}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.25, '2018-01-04': 23.75, '2018-01-05': 24.0, '2018-01-08': 22.25, '2018-01-09': 23.0, '2018-01-10': 22.5, '2018-01-11': 21.75, '2018-01-12': 22.5, '2018-01-16': 22.25}, '1_month_later': {'2018-02-02': 23.5}, '3_months_later': {'2018-04-02': 28.0}, '6_months_later': {'2018-07-02': 24.5}, '12_months_later': {'2019-01-02': 19.25}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTMN
{'date': '2018-01-02', 'ticker': 'PTMN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.4200000762939453, 'high': 3.5799999237060547, 'open': 3.440000057220459, 'close': 3.5699999332427983, 'ema_50': 3.425843185264279, 'rsi_14': 63.999986648559606, 'target': 3.5299999713897705, 'volume': 375700.0, 'ema_200': 3.5890417687188125, 'adj_close': 2.1442883014678955, 'rsi_lag_1': 47.0588276542989, 'rsi_lag_2': 48.571430517701835, 'rsi_lag_3': 58.82354591130128, 'rsi_lag_4': 54.05404360475418, 'rsi_lag_5': 54.054043604754064, 'macd_lag_1': 0.0012833950277495454, 'macd_lag_2': 0.0014719469039343736, 'macd_lag_3': 0.0037275592198176, 'macd_lag_4': 0.0024795983256762355, 'macd_lag_5': -0.0001675013111146484, 'macd_12_26_9': 0.013884564205746575, 'macds_12_26_9': 0.003348799256272548}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 3.5299999713897705, '2018-01-04': 3.4500000476837163, '2018-01-05': 3.4300000667572017, '2018-01-08': 3.400000095367432, '2018-01-09': 3.369999885559082, '2018-01-10': 3.380000114440918, '2018-01-11': 3.4100000858306885, '2018-01-12': 3.440000057220459, '2018-01-16': 3.400000095367432}, '1_month_later': {'2018-02-02': 3.309999942779541}, '3_months_later': {'2018-04-02': 3.1700000762939453}, '6_months_later': {'2018-07-02': 3.3399999141693115}, '12_months_later': {'2019-01-02': 3.4800000190734863}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTI
{'date': '2018-01-02', 'ticker': 'PTI', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.679999828338623, 'high': 6.230000019073486, 'open': 5.78000020980835, 'close': 6.190000057220459, 'ema_50': 3.601842554537761, 'rsi_14': 71.38085053531617, 'target': 6.0, 'volume': 598500.0, 'ema_200': 64.02169210694845, 'adj_close': 6.190000057220459, 'rsi_lag_1': 69.70046299082476, 'rsi_lag_2': 70.02315006125619, 'rsi_lag_3': 69.81352274774721, 'rsi_lag_4': 70.97156598254651, 'rsi_lag_5': 69.8647008148579, 'macd_lag_1': 0.9505462058255594, 'macd_lag_2': 0.965955810703087, 'macd_lag_3': 0.9552829101273073, 'macd_lag_4': 0.9389653488340524, 'macd_lag_5': 0.8861532739149611, 'macd_12_26_9': 0.956358677545734, 'macds_12_26_9': 0.8725881861995767}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 6.0, '2018-01-04': 6.0, '2018-01-05': 5.96999979019165, '2018-01-08': 5.559999942779541, '2018-01-09': 5.539999961853027, '2018-01-10': 5.460000038146973, '2018-01-11': 5.239999771118164, '2018-01-12': 5.039999961853027, '2018-01-16': 4.449999809265137}, '1_month_later': {'2018-02-02': 2.759999990463257}, '3_months_later': {'2018-04-02': 4.690000057220459}, '6_months_later': {'2018-07-02': 2.7799999713897705}, '12_months_later': {'2019-01-02': 3.470000028610229}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTGX
{'date': '2018-01-02', 'ticker': 'PTGX', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/petmed-rides-on-solid-reorders-new-orders-amid-competition-2018-01-02', 'news_author': None, 'news_article': 'On Dec 29, we issued an updated research report on PetMed Express, Inc.PETS . The stock sports a Zacks Rank #1 (Strong Buy).\nOver the last three months, shares of PetMed have been trading above the broader industry . The company has surged 33.1% compared with the broader industry\'s 7.4% growth.\nIn second-quarter fiscal 2018, the company once again topped the Zacks Consensus Estimate on both revenues and earnings. We are also encouraged to note the stellar increase in reorder and new order sales in the period.\nPetMed Express, Inc. Price\nPetMed Express, Inc. Price | PetMed Express, Inc. Quote\nPetMed is striving to implement several strategies to revitalize its top line including its focus on advertising efficiency to boost new order sales as well as its sales shift to higher margin items while expanding the product portfolio.\nHowever, we are apprehensive about the escalating advertising expenses incurred in fiscal second quarter. The company spent $4.5 million on advertising compared with $4.4 million for the same quarter last year.\nThe company markets its products, primarily under well-known brands of medication namely, Frontline Plus, K9 Advantix, Advantage, Heartgard Plus, Sentinel and Interceptor et al .\nOn the flip side, PetMed operates in a highly competitive and fragmented pet medications market with veterinarians, traditional retailers, other mail-order and online retailers of pet medications plus other health products dominating the space as its key competitors. Also, Eli Lilly and Company\'s acquisition of Novartis\' animal health division has led to more challenges for PetMed.\nOther Key Picks\nSome other top-ranked stocks from the broader medical space are Akari Therapeutics PLC. AKTX , Protagonist Therapeutics Inc. PTGX and XOMA Corporation XOMA , each sporting the same bullish Zacks Rank of 1 as PetMed. You can see the complete list of today\'s Zacks #1 Rank stocks here.\nAkari has a projected growth rate of 88.89% for the next quarter. The earnings surprises delivered by the company have been positive in the last three quarters with an average beat of 88.6%.\nProtagonist has an expected earnings growth rate of 36.9% in 2017. The stock has soared an impressive 80.6% in the last six months.\nXOMA is expected to score an impressive earnings growth rate of 99.2% in 2017. The stock has skyrocketed a whopping 406.4% in the last 6 months, despite a loss of 1.7% incurred by the broader industry.\nZacks Editor-in-Chief Goes "All In" on This Stock\nFull disclosure, Kevin Matras now has more of his own money in one particular stock than in any other. He believes in its short-term profit potential and also in its prospects to more than double by 2019. Today he reveals and explains his surprising move in a new Special Report.\nDownload it free >>\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nPetMed Express, Inc. (PETS): Free Stock Analysis Report\nXOMA Corporation (XOMA): Free Stock Analysis Report\nProtagonist Therapeutics, Inc. (PTGX): Free Stock Analysis Report\nAkari Therapeutics PLC (AKTX): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'AKTX , Protagonist Therapeutics Inc. PTGX and XOMA Corporation XOMA , each sporting the same bullish Zacks Rank of 1 as PetMed. Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report XOMA Corporation (XOMA): Free Stock Analysis Report Protagonist Therapeutics, Inc. (PTGX): Free Stock Analysis Report Akari Therapeutics PLC (AKTX): Free Stock Analysis Report To read this article on Zacks.com click here. The company markets its products, primarily under well-known brands of medication namely, Frontline Plus, K9 Advantix, Advantage, Heartgard Plus, Sentinel and Interceptor et al .', 'news_luhn_summary': 'AKTX , Protagonist Therapeutics Inc. PTGX and XOMA Corporation XOMA , each sporting the same bullish Zacks Rank of 1 as PetMed. Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report XOMA Corporation (XOMA): Free Stock Analysis Report Protagonist Therapeutics, Inc. (PTGX): Free Stock Analysis Report Akari Therapeutics PLC (AKTX): Free Stock Analysis Report To read this article on Zacks.com click here. PetMed Express, Inc. Price PetMed Express, Inc. Price | PetMed Express, Inc. Quote PetMed is striving to implement several strategies to revitalize its top line including its focus on advertising efficiency to boost new order sales as well as its sales shift to higher margin items while expanding the product portfolio.', 'news_article_title': 'PetMed Rides on Solid Reorders & New Orders Amid Competition', 'news_lexrank_summary': 'AKTX , Protagonist Therapeutics Inc. PTGX and XOMA Corporation XOMA , each sporting the same bullish Zacks Rank of 1 as PetMed. Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report XOMA Corporation (XOMA): Free Stock Analysis Report Protagonist Therapeutics, Inc. (PTGX): Free Stock Analysis Report Akari Therapeutics PLC (AKTX): Free Stock Analysis Report To read this article on Zacks.com click here. On Dec 29, we issued an updated research report on PetMed Express, Inc.PETS .', 'news_textrank_summary': 'AKTX , Protagonist Therapeutics Inc. PTGX and XOMA Corporation XOMA , each sporting the same bullish Zacks Rank of 1 as PetMed. Click to get this free report PetMed Express, Inc. (PETS): Free Stock Analysis Report XOMA Corporation (XOMA): Free Stock Analysis Report Protagonist Therapeutics, Inc. (PTGX): Free Stock Analysis Report Akari Therapeutics PLC (AKTX): Free Stock Analysis Report To read this article on Zacks.com click here. PetMed Express, Inc. Price PetMed Express, Inc. Price | PetMed Express, Inc. Quote PetMed is striving to implement several strategies to revitalize its top line including its focus on advertising efficiency to boost new order sales as well as its sales shift to higher margin items while expanding the product portfolio.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.6200008392334, 'high': 21.68000030517578, 'open': 21.049999237060547, 'close': 21.14999961853028, 'ema_50': 18.32521862563706, 'rsi_14': 76.51377071486765, 'target': 21.020000457763672, 'volume': 146900.0, 'ema_200': 15.8538898723335, 'adj_close': 21.14999961853028, 'rsi_lag_1': 71.93975359621724, 'rsi_lag_2': 59.79204268232214, 'rsi_lag_3': 65.21739503425513, 'rsi_lag_4': 64.54547109684512, 'rsi_lag_5': 64.0553149311581, 'macd_lag_1': 0.7009163652183155, 'macd_lag_2': 0.6526320999367172, 'macd_lag_3': 0.6191836074974013, 'macd_lag_4': 0.5705394764060614, 'macd_lag_5': 0.5093167722379768, 'macd_12_26_9': 0.7586785252545489, 'macds_12_26_9': 0.6154296821462566}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 21.020000457763672, '2018-01-04': 20.89999961853028, '2018-01-05': 20.479999542236328, '2018-01-08': 19.68000030517578, '2018-01-09': 19.82999992370605, '2018-01-10': 20.670000076293945, '2018-01-11': 20.15999984741211, '2018-01-12': 19.84000015258789, '2018-01-16': 19.3799991607666}, '1_month_later': {'2018-02-02': 21.520000457763672}, '3_months_later': {'2018-04-02': 8.289999961853027}, '6_months_later': {'2018-07-02': 6.820000171661378}, '12_months_later': {'2019-01-02': 6.889999866485597}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTF
{'date': '2018-01-02', 'ticker': 'PTF', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.47000122070313, 'high': 52.77000045776367, 'open': 52.70000076293945, 'close': 52.77000045776367, 'ema_50': 52.78972645428982, 'rsi_14': 53.260895480304946, 'target': 53.56999969482422, 'volume': 5400.0, 'ema_200': 49.249721527507134, 'adj_close': 52.73466110229492, 'rsi_lag_1': 54.01069136908078, 'rsi_lag_2': 53.58091473983612, 'rsi_lag_3': 61.622838021541284, 'rsi_lag_4': 60.49663479422982, 'rsi_lag_5': 68.1715944944268, 'macd_lag_1': -0.1703442810563729, 'macd_lag_2': -0.16972401006247395, 'macd_lag_3': -0.17359084750236775, 'macd_lag_4': -0.17294695925175319, 'macd_lag_5': -0.14008216562361753, 'macd_12_26_9': -0.1633049817515797, 'macds_12_26_9': -0.17067172979410314}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 53.56999969482422, '2018-01-04': 53.88000106811523, '2018-01-05': 54.2599983215332, '2018-01-08': 54.7400016784668, '2018-01-09': 54.52999877929688, '2018-01-10': 54.18999862670898, '2018-01-11': 54.56999969482422, '2018-01-12': 55.08000183105469, '2018-01-16': 54.68999862670898}, '1_month_later': {'2018-02-02': 55.20000076293945}, '3_months_later': {'2018-04-02': 55.6500015258789}, '6_months_later': {'2018-07-02': 60.70000076293945}, '12_months_later': {'2019-01-02': 52.2400016784668}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTEU
{'date': '2018-01-02', 'ticker': 'PTEU', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.63999938964844, 'high': 30.86899948120117, 'open': 30.63999938964844, 'close': 30.815000534057617, 'ema_50': 30.64115732207944, 'rsi_14': 50.0, 'target': 30.920000076293945, 'volume': 18100.0, 'ema_200': 29.11713790803047, 'adj_close': 29.244443893432617, 'rsi_lag_1': 47.45421655701228, 'rsi_lag_2': 48.63966930851964, 'rsi_lag_3': 50.32093149095124, 'rsi_lag_4': 60.15140635686156, 'rsi_lag_5': 51.74659495010283, 'macd_lag_1': 0.02297515404723427, 'macd_lag_2': 0.02992422627061231, 'macd_lag_3': 0.038460464344158396, 'macd_lag_4': 0.053785452435043624, 'macd_lag_5': 0.05270886172625566, 'macd_12_26_9': 0.026442670040651706, 'macds_12_26_9': 0.03539779348900068}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 30.920000076293945, '2018-01-04': 31.350000381469727, '2018-01-05': 31.850000381469727, '2018-01-08': 31.559999465942383, '2018-01-09': 31.61000061035156, '2018-01-10': 31.520000457763672, '2018-01-11': 31.75, '2018-01-12': 32.220001220703125, '2018-01-16': 32.29999923706055}, '1_month_later': {'2018-02-02': 31.89999961853028}, '3_months_later': {'2018-04-02': 30.1200008392334}, '6_months_later': {'2018-07-02': 27.79800033569336}, '12_months_later': {'2019-01-02': 25.075000762939453}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTEN
{'date': '2018-01-02', 'ticker': 'PTEN', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.770000457763672, 'high': 23.25, 'open': 23.1200008392334, 'close': 23.18000030517578, 'ema_50': 21.15259276025194, 'rsi_14': 57.8207346612595, 'target': 23.46999931335449, 'volume': 2547400.0, 'ema_200': 20.819441691128805, 'adj_close': 22.28418731689453, 'rsi_lag_1': 61.227784313640946, 'rsi_lag_2': 59.25297339167425, 'rsi_lag_3': 65.80227991601483, 'rsi_lag_4': 63.437495436519086, 'rsi_lag_5': 55.69043992893897, 'macd_lag_1': 0.6013808934759766, 'macd_lag_2': 0.5785715040218307, 'macd_lag_3': 0.5766792457187933, 'macd_lag_4': 0.5363486083296749, 'macd_lag_5': 0.47401619386709015, 'macd_12_26_9': 0.6259594138811408, 'macds_12_26_9': 0.519702771696076}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.46999931335449, '2018-01-04': 23.6200008392334, '2018-01-05': 23.690000534057617, '2018-01-08': 24.299999237060547, '2018-01-09': 23.56999969482422, '2018-01-10': 23.809999465942383, '2018-01-11': 24.700000762939453, '2018-01-12': 24.700000762939453, '2018-01-16': 24.040000915527344}, '1_month_later': {'2018-02-02': 23.040000915527344}, '3_months_later': {'2018-04-02': 16.940000534057617}, '6_months_later': {'2018-07-02': 17.350000381469727}, '12_months_later': {'2019-01-02': 10.609999656677246}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTE
{'date': '2018-01-02', 'ticker': 'PTE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.32999992370605, 'high': 23.690000534057617, 'open': 23.690000534057617, 'close': 22.950000762939453, 'ema_50': 24.98876135389291, 'rsi_14': 28.84613597649752, 'target': 22.959999084472656, 'volume': 79700.0, 'ema_200': 21.00690340997862, 'adj_close': 22.950000762939453, 'rsi_lag_1': 23.437477958682422, 'rsi_lag_2': 17.664359628428116, 'rsi_lag_3': 22.245307364827994, 'rsi_lag_4': 24.89835706245661, 'rsi_lag_5': 26.540748738940493, 'macd_lag_1': -0.845920919500962, 'macd_lag_2': -0.8529169939279946, 'macd_lag_3': -0.8036223982612043, 'macd_lag_4': -0.8216700457355692, 'macd_lag_5': -0.8419174942920122, 'macd_12_26_9': -0.8515401470151822, 'macds_12_26_9': -0.6607409194323463}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.959999084472656, '2018-01-04': 23.459999084472656, '2018-01-05': 24.059999465942383, '2018-01-08': 23.709999084472656, '2018-01-09': 24.979999542236328, '2018-01-10': 24.229999542236328, '2018-01-11': 24.68000030517578, '2018-01-12': 24.690000534057617, '2018-01-16': 23.709999084472656}, '1_month_later': {'2018-02-02': 19.950000762939453}, '3_months_later': {'2018-04-02': 18.290000915527344}, '6_months_later': {'2018-07-02': 26.07999992370605}, '12_months_later': {'2019-01-02': 15.020000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTCT
{'date': '2018-01-02', 'ticker': 'PTCT', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/news/3320732-solid-biosciences-deck-ipo?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Solid Biosciences on deck for IPO', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.3799991607666, 'high': 17.639999389648438, 'open': 16.860000610351562, 'close': 17.459999084472656, 'ema_50': 16.74093954282151, 'rsi_14': 67.95253468323251, 'target': 18.010000228881836, 'volume': 747200.0, 'ema_200': 16.385038797264205, 'adj_close': 17.459999084472656, 'rsi_lag_1': 49.67104478885505, 'rsi_lag_2': 49.346389747681265, 'rsi_lag_3': 56.94444738788494, 'rsi_lag_4': 58.44504494415634, 'rsi_lag_5': 61.18250730578383, 'macd_lag_1': 0.05217971045293268, 'macd_lag_2': 0.0355269556671054, 'macd_lag_3': 0.010700808129627148, 'macd_lag_4': -0.010960369116848057, 'macd_lag_5': -0.03743027940177868, 'macd_12_26_9': 0.12685422482502062, 'macds_12_26_9': -0.0019383188509575844}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 18.010000228881836, '2018-01-04': 17.989999771118164, '2018-01-05': 17.93000030517578, '2018-01-08': 20.239999771118164, '2018-01-09': 20.670000076293945, '2018-01-10': 20.51000022888184, '2018-01-11': 21.709999084472656, '2018-01-12': 23.290000915527344, '2018-01-16': 21.489999771118164}, '1_month_later': {'2018-02-02': 24.65999984741211}, '3_months_later': {'2018-04-02': 25.96999931335449}, '6_months_later': {'2018-07-02': 33.900001525878906}, '12_months_later': {'2019-01-02': 33.61000061035156}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTC
{'date': '2018-01-02', 'ticker': 'PTC', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'http://www.zacks.com/stock/news/287441/abandon-these-5-toxic-stocks-or-sell-short-for-profit?cid=CS-BENZ-FT-287441', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Abandon These 5 Toxic Stocks or Sell Short for Profit', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 60.45000076293945, 'high': 61.5, 'open': 60.90999984741211, 'close': 61.15999984741211, 'ema_50': 61.40860129443844, 'rsi_14': 47.704927464451444, 'target': 61.93999862670898, 'volume': 1174200.0, 'ema_200': 57.36444812799933, 'adj_close': 61.15999984741211, 'rsi_lag_1': 42.211054313099034, 'rsi_lag_2': 41.24386589248923, 'rsi_lag_3': 40.16666412353515, 'rsi_lag_4': 37.172796479560034, 'rsi_lag_5': 35.99999469259511, 'macd_lag_1': -0.6909500183030985, 'macd_lag_2': -0.7572124080878027, 'macd_lag_3': -0.8786279839487747, 'macd_lag_4': -0.9291818474643989, 'macd_lag_5': -0.9516826215873664, 'macd_12_26_9': -0.6000499038468021, 'macds_12_26_9': -0.7428064980142801}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 61.93999862670898, '2018-01-04': 63.0, '2018-01-05': 63.650001525878906, '2018-01-08': 64.4000015258789, '2018-01-09': 64.52999877929688, '2018-01-10': 64.56999969482422, '2018-01-11': 65.79000091552734, '2018-01-12': 65.93000030517578, '2018-01-16': 65.29000091552734}, '1_month_later': {'2018-02-02': 70.91999816894531}, '3_months_later': {'2018-04-02': 76.70999908447266}, '6_months_later': {'2018-07-02': 93.9000015258789}, '12_months_later': {'2019-01-02': 81.91999816894531}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PTLA
{'date': '2018-01-02', 'ticker': 'PTLA', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 47.15999984741211, 'high': 49.45000076293945, 'open': 49.380001068115234, 'close': 48.7599983215332, 'ema_50': 50.614283205875665, 'rsi_14': 43.612518986755525, 'target': 49.40999984741211, 'volume': 1816400.0, 'ema_200': 47.6998886607389, 'adj_close': 48.7599983215332, 'rsi_lag_1': 41.24999942318083, 'rsi_lag_2': 38.471285865483594, 'rsi_lag_3': 43.4800171930882, 'rsi_lag_4': 46.269910448944756, 'rsi_lag_5': 55.61712666273218, 'macd_lag_1': -0.29881403895947045, 'macd_lag_2': -0.19605727030162257, 'macd_lag_3': 0.08354950578941356, 'macd_lag_4': 0.3811778291702055, 'macd_lag_5': 0.6353699078794932, 'macd_12_26_9': -0.36953458245537973, 'macds_12_26_9': -0.06166088049291225}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 49.40999984741211, '2018-01-04': 48.84000015258789, '2018-01-05': 48.68999862670898, '2018-01-08': 47.9900016784668, '2018-01-09': 52.2599983215332, '2018-01-10': 51.900001525878906, '2018-01-11': 52.33000183105469, '2018-01-12': 52.619998931884766, '2018-01-16': 50.16999816894531}, '1_month_later': {'2018-02-02': 49.880001068115234}, '3_months_later': {'2018-04-02': 31.190000534057617}, '6_months_later': {'2018-07-02': 38.22999954223633}, '12_months_later': {'2019-01-02': 18.770000457763672}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PSXP
{'date': '2018-01-02', 'ticker': 'PSXP', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 52.31999969482422, 'high': 54.38999938964844, 'open': 52.5, 'close': 53.40999984741211, 'ema_50': 49.684881240072116, 'rsi_14': 89.79262553653645, 'target': 53.65999984741211, 'volume': 329500.0, 'ema_200': 49.87680366977695, 'adj_close': 45.68727493286133, 'rsi_lag_1': 90.04661284169873, 'rsi_lag_2': 90.58819239529247, 'rsi_lag_3': 91.26872608010983, 'rsi_lag_4': 77.25170361690977, 'rsi_lag_5': 72.92815816517076, 'macd_lag_1': 1.1377035292584665, 'macd_lag_2': 1.104476367218723, 'macd_lag_3': 1.05516496695558, 'macd_lag_4': 0.9972411603759284, 'macd_lag_5': 0.9016767523539571, 'macd_12_26_9': 1.2353294377942063, 'macds_12_26_9': 0.8896502751502083}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 53.65999984741211, '2018-01-04': 53.84000015258789, '2018-01-05': 53.20000076293945, '2018-01-08': 54.09000015258789, '2018-01-09': 54.36000061035156, '2018-01-10': 54.22000122070313, '2018-01-11': 54.459999084472656, '2018-01-12': 55.1500015258789, '2018-01-16': 55.72999954223633}, '1_month_later': {'2018-02-02': 51.61000061035156}, '3_months_later': {'2018-04-02': 47.63999938964844}, '6_months_later': {'2018-07-02': 50.61999893188477}, '12_months_later': {'2019-01-02': 42.72000122070313}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PUK
{'date': '2018-01-02', 'ticker': 'PUK', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.7400016784668, 'high': 51.119998931884766, 'open': 51.11000061035156, 'close': 50.95000076293945, 'ema_50': 49.37291026482422, 'rsi_14': 70.25172643463634, 'target': 50.93000030517578, 'volume': 219700.0, 'ema_200': 46.62679770074633, 'adj_close': 40.88751602172852, 'rsi_lag_1': 67.12964066753733, 'rsi_lag_2': 71.31315061821248, 'rsi_lag_3': 70.23062540286264, 'rsi_lag_4': 67.30363805856817, 'rsi_lag_5': 58.064506789007275, 'macd_lag_1': 0.3327304134319604, 'macd_lag_2': 0.2862349959030581, 'macd_lag_3': 0.24003542206382633, 'macd_lag_4': 0.21015832878838836, 'macd_lag_5': 0.1872947487523433, 'macd_12_26_9': 0.37892805932573737, 'macds_12_26_9': 0.24724452660983157}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 50.93000030517578, '2018-01-04': 51.34999847412109, '2018-01-05': 52.06999969482422, '2018-01-08': 51.630001068115234, '2018-01-09': 51.66999816894531, '2018-01-10': 53.18000030517578, '2018-01-11': 53.52000045776367, '2018-01-12': 54.27999877929688, '2018-01-16': 53.93999862670898}, '1_month_later': {'2018-02-02': 52.9900016784668}, '3_months_later': {'2018-04-02': 49.369998931884766}, '6_months_later': {'2018-07-02': 45.709999084472656}, '12_months_later': {'2019-01-02': 34.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
pulm
{'date': '2018-01-02', 'ticker': 'pulm', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 270.0, 'high': 288.0, 'open': 280.0, 'close': 284.0, 'ema_50': 321.13812185073755, 'rsi_14': 26.66666666666667, 'target': 304.0, 'volume': 843.0, 'ema_200': 400.5310494275531, 'adj_close': 284.0, 'rsi_lag_1': 23.33333333333333, 'rsi_lag_2': 29.629629629629633, 'rsi_lag_3': 25.80645161290323, 'rsi_lag_4': 20.588235294117652, 'rsi_lag_5': 24.242424242424235, 'macd_lag_1': -10.209116490080532, 'macd_lag_2': -9.782192005279853, 'macd_lag_3': -9.909540142784863, 'macd_lag_4': -10.335216636214284, 'macd_lag_5': -10.52456784584649, 'macd_12_26_9': -10.267714117886385, 'macds_12_26_9': -10.229094403944199}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 304.0, '2018-01-04': 318.0, '2018-01-05': 344.0, '2018-01-08': 324.0, '2018-01-09': 314.0, '2018-01-10': 306.0, '2018-01-11': 320.0, '2018-01-12': 308.0, '2018-01-16': 298.0}, '1_month_later': {'2018-02-02': 326.6000061035156}, '3_months_later': {'2018-04-02': 104.8000030517578}, '6_months_later': {'2018-07-02': 89.80000305175781}, '12_months_later': {'2019-01-02': 54.0}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PXH
{'date': '2018-01-02', 'ticker': 'PXH', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.65999984741211, 'high': 22.809999465942383, 'open': 22.700000762939453, 'close': 22.799999237060547, 'ema_50': 21.735549729962706, 'rsi_14': 89.6551535141807, 'target': 22.950000762939453, 'volume': 259400.0, 'ema_200': 20.89881181705832, 'adj_close': 21.039321899414062, 'rsi_lag_1': 86.4661416916319, 'rsi_lag_2': 86.95649169266234, 'rsi_lag_3': 81.0606016819351, 'rsi_lag_4': 66.66666666666666, 'rsi_lag_5': 66.44736346775954, 'macd_lag_1': 0.1504649315112907, 'macd_lag_2': 0.12055810614765505, 'macd_lag_3': 0.0918326114662662, 'macd_lag_4': 0.06706896572966059, 'macd_lag_5': 0.03957683162503045, 'macd_12_26_9': 0.20967432758787297, 'macds_12_26_9': 0.08977459123823646}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 22.950000762939453, '2018-01-04': 23.1200008392334, '2018-01-05': 23.32999992370605, '2018-01-08': 23.31999969482422, '2018-01-09': 23.280000686645508, '2018-01-10': 23.26000022888184, '2018-01-11': 23.479999542236328, '2018-01-12': 23.71999931335449, '2018-01-16': 23.690000534057617}, '1_month_later': {'2018-02-02': 24.14999961853028}, '3_months_later': {'2018-04-02': 23.1200008392334}, '6_months_later': {'2018-07-02': 20.43000030517578}, '12_months_later': {'2019-01-02': 19.979999542236328}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PXE
{'date': '2018-01-02', 'ticker': 'PXE', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://seekingalpha.com/article/4134910-energy-stocks-stellar-start-2018?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Energy Stocks Off To A Stellar Start For 2018', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.89999961853028, 'high': 23.34000015258789, 'open': 22.89999961853028, 'close': 23.32999992370605, 'ema_50': 21.692542891814096, 'rsi_14': 75.84911336938364, 'target': 23.520000457763672, 'volume': 6400.0, 'ema_200': 20.724027534327092, 'adj_close': 22.53319549560547, 'rsi_lag_1': 73.44402313833247, 'rsi_lag_2': 78.65619859383655, 'rsi_lag_3': 78.90632741632061, 'rsi_lag_4': 63.9240464306905, 'rsi_lag_5': 60.689671048088194, 'macd_lag_1': 0.37103410795322844, 'macd_lag_2': 0.3565499801021481, 'macd_lag_3': 0.3226949274574551, 'macd_lag_4': 0.2808988614875254, 'macd_lag_5': 0.21939345483152906, 'macd_12_26_9': 0.4124557810932856, 'macds_12_26_9': 0.29700729632664796}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 23.520000457763672, '2018-01-04': 23.559999465942383, '2018-01-05': 23.56999969482422, '2018-01-08': 23.6299991607666, '2018-01-09': 23.51000022888184, '2018-01-10': 23.479999542236328, '2018-01-11': 23.93000030517578, '2018-01-12': 24.13999938964844, '2018-01-16': 23.799999237060547}, '1_month_later': {'2018-02-02': 21.940000534057617}, '3_months_later': {'2018-04-02': 20.63999938964844}, '6_months_later': {'2018-07-02': 26.700000762939453}, '12_months_later': {'2019-01-02': 17.90999984741211}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PXD
{'date': '2018-01-02', 'ticker': 'PXD', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/get-sweet-earnings-surprises-with-5-top-stocks-2018-01-02', 'news_author': None, 'news_article': "It is not surprising that before an earnings season, every investor looks for stocks that can beat market expectation. This is because investors always try to position themselves ahead of time and look to tap stocks that are high-quality in nature.\nWhy Is a Positive Earnings Surprise So Important?\nHistorically, stocks of companies with solid quarterly earnings (on a nominal basis) tank if they miss or merely meet market expectations. After all, a 20% earnings rise (though apparently looks good) doesn't tell you if earnings growth has been exhibiting a decelerating trend.\nAlso, seasonal fluctuations come into play sometimes. If a company's Q1 is seasonally weak and Q4 strong, then it is likely to report a sequential earnings decline. In such cases, growth rates are misleading while judging the true health of a company.\nOn the other hand, after much brainstorming and analysis of companies' financials and initiatives, Wall Street analysts project earnings of companies. They in fact club their insights and a company's guidance when deriving an earnings estimate.\nThus, outperforming that estimate is almost equivalent to beating the company's own expectation as well as the market perception. And if the margin of earnings surprise is big, it typically drives the stock higher right after the release. Thus, more than anything else, an earnings surprise can push a stock higher.\nHow to Find Stocks that Can Beat?\nNow, finding stocks that have the potential to beat on the bottom line may be investors' dream but not an easy job. One way to do this is to look at the earnings surprise history of the company.\nAn impressive track in this regard generally acts as a catalyst in sending a stock higher. It indicates the company's ability to surpass estimates. And investors generally believe that the company will apply the same secret sauce to execute yet another earning beat in its next release.\nThe Winning Strategy\nIn order to shortlist stocks that are likely to come up with an earnings surprise, we chose the following as our primary screening parameters.\nLast EPS Surprise greater than or equal to 10%: Stocks delivering positive surprise in the last quarter tend to surprise again.\nAverage EPS Surprise in the last four quarters greater than 20%: We lifted the bar for outperformance slight higher by setting the average earnings surprise for the last four quarters at 20%.\nAverage EPS Surprise in the last two quarters greater than 20%: This points to a more consistent surprise history and makes the case for another surprise even stronger.\nIn addition, we place a few other criteria that push up the chance of a positive surprise.\nZacks Rank less than or equal to 2: Only companies with a Zacks Rank #1 (Strong Buy) or 2 (Buy) rating can get through.\nEarnings ESP greater than zero: A stock needs to have both a positive Earnings ESP and a Zacks Rank of #1, 2 or 3 for an earnings beat to happen, as per our proven model.\nIn order to zero in on those that have long-term growth potential and high trading liquidity we have added the following parameters too:\nNext 3-5 Years Estimated EPS Growth (Per Year) greater than 10%: Solid expected earnings growth exhibits the stock's long-term growth prospects.\nAverage 20-day Volume greater than 100,000: High trading volume implies that the stocks have adequate liquidity.\nA handful of criteria has narrowed down the universe from over 7,700 stocks to five.\nHere are all five stocks:\nCaterpillar Inc. CAT : This is a manufacturer and seller of construction and mining equipment. The Zacks Industry Rank of the stock is in the top 27%, at the time of writing. The stock carries a Zacks Rank #2. You can see the complete list of today's Zacks #1 Rank stocks here .\nDeckers Outdoor Corporation DECK : The company is into designing and distributing footwear, apparel and accessories developed for both everyday casual lifestyle use and high performance activities. It has a Zacks Rank #2.\nHubSpot Inc. HUBS : The Zacks Rank #2 company is an inbound marketing software platform. The Zacks Industry Rank is in the top 39%.\nPioneer Natural Resources Company PXD : This is an independent exploration and production company focused on helping to meet the world's energy needs. The Zacks Industry Rank is in the top 29%. It has a Zacks Rank #2.\nLegg Mason Inc. LM : This is a Zacks Rank #1 holding company which, through its subsidiaries, is principally engaged in providing asset management, investment banking and related financial services. The Zacks Industry Rank of the stock is in the top 42%.\nYou can get the rest of the stocks on this list by signing up now for your 2-week free trial to the Research Wizard and start using this screen in your own trading. Further, you can also create your own strategies and test them first before taking the investment plunge.\nThe Research Wizard is a great place to begin. It's easy to use. Everything is in plain language. And it's very intuitive. Start your Research Wizard trial today. And the next time you read an economic report, open up the Research Wizard, plug your finds in, and see what gems come out.\nClick here to sign up for a free trial to the Research Wizard today .\nDisclosure: Officers, directors and/or employees of Zacks Investment Research may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material. An affiliated investment advisory firm may own or have sold short securities and/or hold long and/or short positions in options that are mentioned in this material.\nDisclosure: Performance information for Zacks' portfolios and strategies are available at: http://www.zacks.com/performance .\nZacks Restaurant Recommendations: In addition to dining at these special places, you can feast on their stock shares. A Zacks Special Report spotlights 5 recent IPOs to watch plus 2 stocks that offer immediate promise in a booming sector. Download it free »\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\nHubSpot, Inc. (HUBS): Free Stock Analysis Report\nLegg Mason, Inc. (LM): Free Stock Analysis Report\nCaterpillar, Inc. (CAT): Free Stock Analysis Report\nPioneer Natural Resources Company (PXD): Free Stock Analysis Report\nDeckers Outdoor Corporation (DECK): Free Stock Analysis Report\nTo read this article on Zacks.com click here.\nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Pioneer Natural Resources Company PXD : This is an independent exploration and production company focused on helping to meet the world's energy needs. Click to get this free report HubSpot, Inc. (HUBS): Free Stock Analysis Report Legg Mason, Inc. (LM): Free Stock Analysis Report Caterpillar, Inc. (CAT): Free Stock Analysis Report Pioneer Natural Resources Company (PXD): Free Stock Analysis Report Deckers Outdoor Corporation (DECK): Free Stock Analysis Report To read this article on Zacks.com click here. Historically, stocks of companies with solid quarterly earnings (on a nominal basis) tank if they miss or merely meet market expectations.", 'news_luhn_summary': "Click to get this free report HubSpot, Inc. (HUBS): Free Stock Analysis Report Legg Mason, Inc. (LM): Free Stock Analysis Report Caterpillar, Inc. (CAT): Free Stock Analysis Report Pioneer Natural Resources Company (PXD): Free Stock Analysis Report Deckers Outdoor Corporation (DECK): Free Stock Analysis Report To read this article on Zacks.com click here. Pioneer Natural Resources Company PXD : This is an independent exploration and production company focused on helping to meet the world's energy needs. In order to zero in on those that have long-term growth potential and high trading liquidity we have added the following parameters too: Next 3-5 Years Estimated EPS Growth (Per Year) greater than 10%: Solid expected earnings growth exhibits the stock's long-term growth prospects.", 'news_article_title': 'Get Sweet Earnings Surprises With 5 Top Stocks', 'news_lexrank_summary': "Click to get this free report HubSpot, Inc. (HUBS): Free Stock Analysis Report Legg Mason, Inc. (LM): Free Stock Analysis Report Caterpillar, Inc. (CAT): Free Stock Analysis Report Pioneer Natural Resources Company (PXD): Free Stock Analysis Report Deckers Outdoor Corporation (DECK): Free Stock Analysis Report To read this article on Zacks.com click here. Pioneer Natural Resources Company PXD : This is an independent exploration and production company focused on helping to meet the world's energy needs. It is not surprising that before an earnings season, every investor looks for stocks that can beat market expectation.", 'news_textrank_summary': "Click to get this free report HubSpot, Inc. (HUBS): Free Stock Analysis Report Legg Mason, Inc. (LM): Free Stock Analysis Report Caterpillar, Inc. (CAT): Free Stock Analysis Report Pioneer Natural Resources Company (PXD): Free Stock Analysis Report Deckers Outdoor Corporation (DECK): Free Stock Analysis Report To read this article on Zacks.com click here. Pioneer Natural Resources Company PXD : This is an independent exploration and production company focused on helping to meet the world's energy needs. Zacks Rank less than or equal to 2: Only companies with a Zacks Rank #1 (Strong Buy) or 2 (Buy) rating can get through."}, {'news_url': 'https://seekingalpha.com/news/3320785-bumpy-ride-seen-crude-oil-2018-say-analysts-moodys-bernstein?source=partner_benzinga', 'news_author': None, 'news_article': None, 'news_publisher': 'Seeking Alpha', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': "Bumpy ride seen for crude oil in 2018, say analysts at Moody's, Bernstein", 'news_lexrank_summary': None, 'news_textrank_summary': None}, {'news_url': 'http://www.zacks.com/stock/news/287417/get-sweet-earnings-surprises-with-5-top-stocks?cid=CS-BENZ-FT-287417', 'news_author': None, 'news_article': None, 'news_publisher': 'Zacks', 'news_lsa_summary': None, 'news_luhn_summary': None, 'news_article_title': 'Get Sweet Earnings Surprises With 5 Top Stocks', 'news_lexrank_summary': None, 'news_textrank_summary': None}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 172.2899932861328, 'high': 175.4499969482422, 'open': 174.3000030517578, 'close': 172.9199981689453, 'ema_50': 157.85334658612888, 'rsi_14': 80.10137709365037, 'target': 176.33999633789062, 'volume': 1777800.0, 'ema_200': 157.3111129776874, 'adj_close': 168.77264404296875, 'rsi_lag_1': 82.13878598715647, 'rsi_lag_2': 83.02701216578458, 'rsi_lag_3': 84.90383054143248, 'rsi_lag_4': 80.63927114561201, 'rsi_lag_5': 72.74405367785207, 'macd_lag_1': 5.2560108367433145, 'macd_lag_2': 5.101377099224891, 'macd_lag_3': 4.85729771509051, 'macd_lag_4': 4.489366544976406, 'macd_lag_5': 3.7966342091976344, 'macd_12_26_9': 5.32284847863113, 'macds_12_26_9': 4.200848932810536}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 176.33999633789062, '2018-01-04': 177.27000427246094, '2018-01-05': 176.50999450683594, '2018-01-08': 178.52999877929688, '2018-01-09': 177.9499969482422, '2018-01-10': 178.6999969482422, '2018-01-11': 184.1699981689453, '2018-01-12': 186.1499938964844, '2018-01-16': 182.509994506836}, '1_month_later': {'2018-02-02': 178.74000549316406}, '3_months_later': {'2018-04-02': 166.91000366210938}, '6_months_later': {'2018-07-02': 185.2100067138672}, '12_months_later': {'2019-01-02': 134.3000030517578}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.
PWZ
{'date': '2018-01-02', 'ticker': 'PWZ', 'fred_data': {'fred_cpi': 248.859, 'fred_gdp': None, 'fred_nfp': 147667.0, 'fred_ppi': 197.9, 'fred_retail_sales': 490426.0, 'fred_interest_rate': None, 'fred_trade_balance': -47072.0, 'fred_unemployment_rate': 4.0, 'fred_consumer_confidence': 95.7, 'fred_industrial_production': 101.4852, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 26.290000915527344, 'high': 26.38999938964844, 'open': 26.38999938964844, 'close': 26.299999237060547, 'ema_50': 26.21150460486159, 'rsi_14': 51.190386986464674, 'target': 26.32999992370605, 'volume': 114700.0, 'ema_200': 26.06624251354593, 'adj_close': 24.73080444335937, 'rsi_lag_1': 58.22776558527629, 'rsi_lag_2': 45.05495657131338, 'rsi_lag_3': 40.22993293622693, 'rsi_lag_4': 50.0, 'rsi_lag_5': 50.94341320166678, 'macd_lag_1': 0.02509068770804035, 'macd_lag_2': 0.014098576326375678, 'macd_lag_3': 0.004954406280656798, 'macd_lag_4': -0.0006799074094594459, 'macd_lag_5': -0.0007342093022515428, 'macd_12_26_9': 0.027035046726140877, 'macds_12_26_9': 0.016702446585544338}, 'financial_markets': [{'Low': 9.520000457763672, 'Date': '2018-01-02', 'High': 11.06999969482422, 'Open': 10.949999809265137, 'Close': 9.770000457763672, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 9.770000457763672}, {'Low': 1.200855016708374, 'Date': '2018-01-02', 'High': 1.2080942392349243, 'Open': 1.2010858058929443, 'Close': 1.2011579275131226, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.2011579275131226}, {'Low': 1.3509314060211182, 'Date': '2018-01-02', 'High': 1.3596748113632202, 'Open': 1.35111403465271, 'Close': 1.3511322736740112, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 1.3511322736740112}, {'Low': 6.480100154876709, 'Date': '2018-01-02', 'High': 6.507299900054932, 'Open': 6.505799770355225, 'Close': 6.505799770355225, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 6.505799770355225}, {'Low': 60.09999847412109, 'Date': '2018-01-02', 'High': 60.7400016784668, 'Open': 60.20000076293945, 'Close': 60.369998931884766, 'Source': 'crude_oil_futures_data', 'Volume': 510313, 'date_str': '2018-01-02', 'Adj Close': 60.369998931884766}, {'Low': 0.7800312638282776, 'Date': '2018-01-02', 'High': 0.7846214175224304, 'Open': 0.7800312638282776, 'Close': 0.7801042199134827, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 0.7801042199134827}, {'Low': 2.424999952316284, 'Date': '2018-01-02', 'High': 2.4800000190734863, 'Open': 2.433000087738037, 'Close': 2.4649999141693115, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 2.4649999141693115}, {'Low': 112.0749969482422, 'Date': '2018-01-02', 'High': 112.78800201416016, 'Open': 112.7699966430664, 'Close': 112.7699966430664, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 112.7699966430664}, {'Low': 91.75, 'Date': '2018-01-02', 'High': 92.25, 'Open': 92.23999786376952, 'Close': 91.8499984741211, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2018-01-02', 'Adj Close': 91.8499984741211}, {'Low': 1302.300048828125, 'Date': '2018-01-02', 'High': 1317.5999755859375, 'Open': 1302.300048828125, 'Close': 1313.699951171875, 'Source': 'gold_futures_data', 'Volume': 68, 'date_str': '2018-01-02', 'Adj Close': 1313.699951171875}]}
{'next_10_days': {'2018-01-03': 26.32999992370605, '2018-01-04': 26.32999992370605, '2018-01-05': 26.290000915527344, '2018-01-08': 26.31999969482422, '2018-01-09': 26.280000686645508, '2018-01-10': 26.1200008392334, '2018-01-11': 26.1299991607666, '2018-01-12': 26.14999961853028, '2018-01-16': 26.18000030517578}, '1_month_later': {'2018-02-02': 25.75}, '3_months_later': {'2018-04-02': 25.739999771118164}, '6_months_later': {'2018-07-02': 25.82999992370605}, '12_months_later': {'2019-01-02': 25.850000381469727}}
YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.