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README.md

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-license: mit
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+license: mit
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+### Model Card for Telegram Trading Bot
+
+#### Overview
+- **Project Name:** Telegram Trading Bot
+- **Purpose:** Predict stock market prices and generate trade signals
+- **Platforms Supported:** TradingView, Forex, Coinbase, Binance, Yahoo Finance, Bloomberg
+
+#### Model Details
+- **Model Type:** Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) layers
+- **Framework Used:** TensorFlow/Keras
+- **Input Data:** Historical price data (open, high, low, close, volume) from various financial platforms
+- **Output:** Predicted price and trade signal (Buy/Sell)
+
+#### Data Sources
+- **Binance:** Real-time cryptocurrency prices
+- **Alpha Vantage:** Stock and Forex market data
+- **Yahoo Finance:** Stock prices and financial data
+- **TradingView:** Technical analysis and financial market data (Placeholder for future integration)
+- **Bloomberg:** Financial data and news (Placeholder for future integration)
+- **Coinbase:** Cryptocurrency prices (Placeholder for future integration)
+
+#### Features
+- ♦ **Real-time Data Acquisition:**
+  - Fetches latest market data from multiple platforms
+  - Supports diverse financial instruments including stocks, forex, and cryptocurrencies
+- ♦ **Data Preprocessing:**
+  - Normalizes and scales data for model input
+  - Handles missing data and ensures consistency across datasets
+- ♦ **Neural Network Model:**
+  - Utilizes LSTM layers to capture temporal dependencies in financial data
+  - Trained on historical price data to predict future prices
+- ♦ **Trade Signal Generation:**
+  - Generates Buy/Sell signals based on predicted price trends
+  - Provides actionable insights for trading on platforms like Binomo
+- ♦ **Integration with Telegram:**
+  - Responds to user commands for real-time trading signals
+  - Simple and interactive user interface through Telegram bot
+
+#### Usage
+- **Command: `/start`**
+  - Initializes the bot and provides basic instructions
+- **Command: `/signal [pair]`**
+  - Generates and returns a trade signal for the specified currency pair (default: BTCUSDT)
+
+#### Performance Metrics
+- **Evaluation Metrics:**
+  - Mean Squared Error (MSE) for regression accuracy
+  - Accuracy of trade signals (Buy/Sell) compared to actual market movements
+- **Training Data:**
+  - Historical price data from supported platforms
+- **Validation:**
+  - Split historical data into training and validation sets
+  - Evaluate model performance on unseen validation data
+
+#### Limitations and Future Work
+- ♦ **Current Limitations:**
+  - Placeholder integrations for TradingView, Bloomberg, and Coinbase
+  - Model performance highly dependent on the quality and granularity of data
+  - Limited to hourly predictions; higher frequency data may be needed for intraday trading
+- ♦ **Future Enhancements:**
+  - Complete integration with TradingView, Bloomberg, and Coinbase
+  - Experiment with different neural network architectures and hyperparameters
+  - Incorporate additional features such as sentiment analysis from news and social media
+
+#### Ethical Considerations
+- **User Discretion:** 
+  - The bot provides trade signals but users should exercise caution and perform their own analysis before making trading decisions.
+- **Data Privacy:** 
+  - Ensure secure handling of API keys and user data.
+- **Financial Risk:** 
+  - Trading involves financial risk; users should understand the risks involved and use the bot responsibly.
+
+This model card provides a comprehensive overview of the Telegram Trading Bot, highlighting its capabilities, data sources, features, and considerations for future development.