Poly Trader
Poly Trader is an intelligent automated trading system for Polymarket that combines rule-based trading strategies with AI-driven market analysis. The system learns from trading outcomes and continuously optimizes performance through data-driven insights and machine learning.
Key Features
- Rule-Based Trading Engine - Configurable trading strategies with custom entry and exit rules
- AI-Driven Analysis - Intelligent prediction analysis and recommendations powered by LLMs
- Dual Trading Modes - Paper trading for strategy testing and real trading for execution
- Backtesting Engine - Test strategies against historical market data
- Performance Metrics - Advanced analytics including Sharpe ratio, win rate, and profit factor
- Risk Management - Position limits, liquidity validation, correlation tracking
- Trade Journal - Complete documentation of all trading decisions with reasoning
- Probability Tracking - Monitor and analyze probability movements over time
- Market Monitoring - Automatic discovery and tracking of new predictions
- Whale Tracking - Follow and learn from successful traders
- Web Dashboard - Real-time portfolio overview and interactive visualizations
- REST API - Full programmatic access to all features
Core Capabilities
Trading Features
- Named trading strategies for reusability
- Exit rules engine with stop-loss and take-profit automation
- Multiple validation layers before trade execution
- Real-time WebSocket-based portfolio monitoring
AI & Intelligence
- AI performance learning from trade outcomes
- Automatic strategy experimentation in paper mode
- News sentiment integration for informed decisions
Monitoring & Risk
- Real-time position health monitoring
- Category filtering and organization
- High performer identification and learning
- Liquidity and correlation analysis
Integration
- OpenClaw integration for system automation
- REST API with OpenAPI/Swagger documentation
- Webhook system for event-driven notifications
- Docker containerization for easy deployment
Technology Stack
- Backend: Node.js with TypeScript
- Frontend: React with real-time charting
- Communication: WebSockets for live updates
- AI: OpenAI API integration
- Deployment: Docker with CI/CD pipelines
- Database: Polymarket API integration
Target Use Cases
- Algorithmic prediction market trading
- Strategy development and backtesting
- Automated market monitoring and discovery
- Multi-strategy portfolio management
- Learning-based trading system improvement
Status
Active development with 34+ comprehensive features across trading, analysis, risk management, and monitoring categories.