AI python trading bot
🔍 Overview
ForexBot is a fully autonomous, high-performance Forex trading system powered by deep reinforcement learning. Developed in Python 3.10, it leverages Proximal Policy Optimization (PPO) to deliver intelligent, real-time trade execution—completely free from traditional indicators or economic calendars. Designed with scalability, fault tolerance, and performance monitoring at its core, ForexBot operates with zero manual intervention.
🧩 Core Features
📈 Reinforcement Learning
- Stable Baselines3 PPO: Proven RL algorithm ensures consistent trade performance
- Custom Neural Architecture: Learns directly from raw market data—no handcrafted features
- Dynamic Position Sizing: Adapts to evolving market conditions to maximize returns
- Auto Hyperparameter Tuning: Continuously optimizes strategy under live conditions
🛡️ Risk Management
- Configurable Trade Cap: Enforces up to 6 trades/week (user-defined) for disciplined exposure
- Robust Monitoring & Error Recovery: Automatically handles exceptions and edge cases
- Fully Automated Lifecycle: From order placement to position closure—ForexBot does it all
📊 Market Data & Analytics
- Extended Historical Data: Bypasses Dukascopy’s 3-year limit via auto-concatenation
- Live KPIs: Profit factor, win rate, and rolling metrics—tracked episode by episode
- No Lagging Indicators: Pure price-action strategy ensures reactive, unbiased decision-making
💡 Technical Stack
⚙️ Core Framework
- Python 3.10 + PyTorch + Gymnasium
- Streamlined with TensorFlow removed for reduced overhead
- Efficient data handling via pandas and NumPy
📡 Trading Integration
- MetaTrader 5 Bridge: Seamless execution and portfolio management
- Full Audit Trail: All trades logged with reproducibility in mind
- Tunable Parameters: User-defined risk and sizing strategies via YAML config or CLI
🚀 Performance Optimization
- GPU Support: Accelerated training with DirectML, OpenCL, and torch-directml
- Memory-Conscious Structures: Optimized for both backtesting and live environments
📊 Visualization & Monitoring
- Interactive Dashboards: Trade insights at a glance
- Weights & Biases Integration: Intuitive experiment logging and comparison
📈 Performance Highlights
- Efficiency Gains: Automation and dynamic sizing outperform manual strategies
- Stability: 99.9% uptime, with resilient exception handling
- Low Latency: GPU-powered, near-real-time inference and execution
🔮 Roadmap
🚀 Smarter Market Intelligence
- Regime detection and pattern mining
- Context-aware adjustments and multi-agent learning
🛠️ System Enhancements
- Faster data pipelines
- Enhanced GPU throughput and model compression
Ready to explore the codebase? Dive into the full repo and see the engine under the hood.
🌐 Github repo
👉 Repo