Crypto AI Trading Bot using LSTM

This project is a deep learning-based cryptocurrency trading bot built using Long Short-Term Memory (LSTM) neural networks. It is designed to analyze historical crypto market data and predict the next move in price direction, enabling algorithmic trading strategies based on AI-powered forecasts.

Features

• LSTM-based model for time-series prediction
• Real-time or batch prediction support
• Data preprocessing pipeline for crypto price history
• Integration-ready for trading execution (buy/sell) via APIs
• Modular and extensible codebase

Technologies Used

• Python (80.1%)
• HTML (19.9%)
• TensorFlow / Keras or PyTorch (depending on version)
• NumPy, Pandas, Matplotlib
• Flask (for frontend display and interaction)
• Git & GitHub for version control

Installation

1. Clone the repository:

git clone https://github.com/Ahmadjamil888/CRYPTO-AI-TRADING-BOT-LSTM.git
cd binance_trading_bot

2. Install dependencies:

pip install -r requirements.txt

3. (Optional) Set up your .env or config file for API keys and trading platform integration.

Usage

To train or test the model:

python model/train.py        # Train the LSTM model

Run the app

python run.py

Then open your browser and navigate to http://localhost:5000. To run the web app:

Run the index.html file

Future Improvements

• Integration with Binance or Coinbase API for live trading
• Improved accuracy with hybrid models (LSTM + CNN)
• Dashboard with trading analytics and logs
• Stop-loss and profit-lock strategy implementation

License

This project is open-source and available under the MIT License.