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2025-03-29 19:36:23 -04:00
# AI-Powered Trading Bot
A sophisticated trading bot that combines technical analysis, machine learning, sentiment analysis, and risk management to make informed trading decisions.
## Features
- **Technical Analysis**
- Multiple timeframe analysis
- Advanced indicators (SMA, EMA, RSI, MACD, Bollinger Bands)
- Pattern recognition
- Support and resistance levels
- **Machine Learning**
- LSTM-based price prediction
- Reinforcement learning for strategy optimization
- Feature engineering and selection
- Model persistence and retraining
- **Sentiment Analysis**
- News sentiment analysis
- Social media sentiment (Twitter)
- Market sentiment indicators
- Weighted sentiment scoring
- **Risk Management**
- Position sizing based on risk percentage
- Stop-loss and take-profit management
- Maximum drawdown protection
- Performance monitoring
- Risk metrics calculation
- **Web Dashboard**
- Real-time performance monitoring
- Trade history visualization
- Risk metrics display
- Configuration management
## Requirements
- Python 3.8+
- CUDA-capable GPU (recommended for machine learning)
- API keys for:
- Cryptocurrency exchange (e.g., Binance)
- News API
- Twitter API
## Installation
1. Clone the repository:
```bash
git clone https://github.com/B-Wear/QuantumEdge.git
cd trading-bot
```
2. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Configure the bot:
- Copy `config/config.json.example` to `config/config.json`
- Update the configuration with your API keys and preferences
## Usage
1. Start the trading bot:
```bash
python -m src.main
```
2. Access the web dashboard:
- Open your browser and navigate to `http://localhost:5000`
- Monitor performance and manage settings
3. Monitor logs:
- Check `trading_bot.log` for detailed information
- Monitor system performance and error messages
## Configuration
The bot can be configured through `config/config.json`. Key settings include:
- Trading pairs and timeframes
- Risk management parameters
- Technical analysis settings
- Machine learning model parameters
- Sentiment analysis weights
- API credentials
## Risk Warning
Trading cryptocurrencies involves significant risk of loss. This bot is for educational purposes only. Always:
- Start with small amounts
- Use testnet for initial testing
- Monitor performance closely
- Implement proper risk management
- Never trade with money you cannot afford to lose
## Contributing
1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request
## License
This project is licensed under the MIT License - see the LICENSE file for details.
## Acknowledgments
- Thanks to the open-source community for various libraries used in this project
- Special thanks to contributors and maintainers of key dependencies
- Inspired by various trading strategies and research papers
## Support
For support, please:
1. Check the documentation
2. Search existing issues
3. Create a new issue if needed
## Disclaimer
This trading bot is provided as-is, without any warranties. Use at your own risk. The developers are not responsible for any financial losses incurred through the use of this software.