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import pandas as pd
import numpy as np
import yfinance as yf
import streamlit as st
import plotly.graph_objects as go
import datetime
with open(r"style/style.css") as css:
st.markdown(f"<style>{css.read()}</style>", unsafe_allow_html=True)
st.markdown(
"<h1 style='text-align: center;'><u>CapiPort</u></h1>", unsafe_allow_html=True
)
st.markdown(
"<h5 style='text-align: center; color: gray;'>Your Portfolio Optimisation Tool</h5>",
unsafe_allow_html=True,
)
st.header(
"",
divider="rainbow",
)
color = "Quest"
st.markdown(
"<h1 style='text-align: center;'>🔍 Quest for financial excellence begins with meticulous portfolio optimization</u></h1>",
unsafe_allow_html=True,
)
st.header(
"",
divider="rainbow",
)
list_df = pd.read_csv("Data/Company List.csv")
company_name = list_df["Name"].to_list()
company_symbol = (list_df["Ticker"] + ".NS").to_list()
company_dict = dict()
company_symbol_dict = dict()
for CSymbol, CName in zip(company_symbol, company_name):
company_dict[CName] = CSymbol
for CSymbol, CName in zip(company_symbol, company_name):
company_symbol_dict[CSymbol] = CName
st.markdown(
"""
<style>
.big-font {
font-size:20px;
}
</style>""",
unsafe_allow_html=True,
)
st.markdown('<p class="big-font">Select Multiple Companies</p>', unsafe_allow_html=True)
com_sel_name = st.multiselect("", company_name, default=None)
com_sel_date = []
for i in com_sel_name:
d = st.date_input(
f"Select your vacation for next year - {i}",
format="YYYY-MM-DD",
)
com_sel_date.append(d)
com_sel = [company_dict[i] for i in com_sel_name]
num_tick = len(com_sel)
if num_tick > 1:
com_data = pd.DataFrame()
for cname, cdate in zip(com_sel, com_sel_date):
stock_data_temp = yf.download(cname, start=cdate, end=pd.Timestamp.now().strftime('%Y-%m-%d'))
com_data[cname] = stock_data_temp["Adj Close"]
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