mirror of
https://github.com/B-Wear/QuantumEdge.git
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# QuantumEdge
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QuantumEdge AI-powered trading system for forex and futures starting with $50. Features self-correcting algorithms, technical analysis, and machine learning with strict risk management. Adapts to market changes while preserving capital and gradually scaling positions through an intuitive monitoring dashboard.RetryClaude
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# AI-Powered Trading Bot
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A sophisticated trading bot that combines technical analysis, machine learning, sentiment analysis, and risk management to make informed trading decisions.
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## Features
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- **Technical Analysis**
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- Multiple timeframe analysis
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- Advanced indicators (SMA, EMA, RSI, MACD, Bollinger Bands)
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- Pattern recognition
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- Support and resistance levels
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- **Machine Learning**
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- LSTM-based price prediction
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- Reinforcement learning for strategy optimization
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- Feature engineering and selection
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- Model persistence and retraining
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- **Sentiment Analysis**
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- News sentiment analysis
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- Social media sentiment (Twitter)
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- Market sentiment indicators
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- Weighted sentiment scoring
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- **Risk Management**
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- Position sizing based on risk percentage
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- Stop-loss and take-profit management
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- Maximum drawdown protection
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- Performance monitoring
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- Risk metrics calculation
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- **Web Dashboard**
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- Real-time performance monitoring
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- Trade history visualization
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- Risk metrics display
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- Configuration management
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## Requirements
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- Python 3.8+
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- CUDA-capable GPU (recommended for machine learning)
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- API keys for:
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- Cryptocurrency exchange (e.g., Binance)
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- News API
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- Twitter API
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## Installation
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1. Clone the repository:
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```bash
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git clone https://github.com/yourusername/trading-bot.git
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cd trading-bot
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```
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2. Create a virtual environment:
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```bash
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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```
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3. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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4. Configure the bot:
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- Copy `config/config.json.example` to `config/config.json`
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- Update the configuration with your API keys and preferences
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## Usage
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1. Start the trading bot:
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```bash
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python -m src.main
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```
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2. Access the web dashboard:
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- Open your browser and navigate to `http://localhost:5000`
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- Monitor performance and manage settings
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3. Monitor logs:
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- Check `trading_bot.log` for detailed information
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- Monitor system performance and error messages
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## Configuration
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The bot can be configured through `config/config.json`. Key settings include:
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- Trading pairs and timeframes
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- Risk management parameters
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- Technical analysis settings
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- Machine learning model parameters
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- Sentiment analysis weights
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- API credentials
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## Risk Warning
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Trading cryptocurrencies involves significant risk of loss. This bot is for educational purposes only. Always:
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- Start with small amounts
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- Use testnet for initial testing
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- Monitor performance closely
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- Implement proper risk management
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- Never trade with money you cannot afford to lose
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## Contributing
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1. Fork the repository
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2. Create a feature branch
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3. Commit your changes
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4. Push to the branch
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5. Create a Pull Request
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## License
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This project is licensed under the MIT License - see the LICENSE file for details.
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## Acknowledgments
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- Thanks to the open-source community for various libraries used in this project
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- Special thanks to contributors and maintainers of key dependencies
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- Inspired by various trading strategies and research papers
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## Support
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For support, please:
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1. Check the documentation
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2. Search existing issues
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3. Create a new issue if needed
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## Disclaimer
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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.
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