Freqtrade - Crypto Trading Bot

Developed and maintained by Ali Heydari

🤖 About

Freqtrade is a powerful, free and open source crypto trading bot written in Python. It features:

• 📊 Advanced technical analysis and trading strategies
• 🔧 Support for all major cryptocurrency exchanges
• 📱 Control via Telegram or modern Web UI
• 📈 Comprehensive backtesting and strategy optimization
• 🤓 Machine learning integration for smart trading decisions

⚠️ Disclaimer

This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.

💹 Supported Exchanges

Spot Trading

• ✅ Binance
• ✅ Bitmart
• ✅ BingX
• ✅ Bybit
• ✅ Gate.io
• ✅ HTX
• ✅ Hyperliquid (DEX)
• ✅ Kraken
• ✅ OKX
• ✅ MyOKX (OKX EEA)

Futures Trading (Experimental)

• ✅ Binance Futures
• ✅ Gate.io Futures
• ✅ Hyperliquid
• ✅ OKX Futures
• ✅ Bybit Futures

View all supported exchanges →

🚀 Quick Start

1. Using Docker (Recommended)

docker-compose up -d

2. Manual Installation

git clone https://github.com/Ali-hey-0/Freqtrade.git
cd Freqtrade
pip install -r requirements.txt

View detailed installation guide →

🎯 Key Features

• 🐍 Built with Python 3.10+
• 💾 SQLite persistence
• 🔄 Dry-run testing
• 📊 Advanced backtesting
• 🤖 ML-powered strategy optimization
• 🎯 Edge position sizing
• ⚡ Real-time trading
• 📱 Telegram/Web UI control
• 📈 Profit/loss tracking
• 🔒 Security-focused design

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📬 Support & Community

• Join our Discord
• Report Issues
• Feature Requests

📋 Requirements

• Hardware: 2GB RAM, 1GB disk space, 2vCPU (minimum)
• Software: Python 3.10+, pip, git, TA-Lib
• Optional: Docker (recommended)

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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