Automated Prediction Market Trading Engine
Lead DeveloperRecent Project
Key Achievement: Developed and deployed a high-performance automated trading system that maintained a 0.45% Expected Value (EV) per trade over a high-volume sample size (200+ trades).
- Backend Architecture: Engineered backend to interface with the Polymarket CLOB (Central Limit Order Book) API, handling real-time order placement and portfolio synchronization.
- Real-Time Performance: Utilized asynchronous programming (Python) to monitor live WebSocket feeds, ensuring sub-second response times to market volatility.
- Risk Management: Implemented custom logic to calculate slippage, manage liquidity constraints, and automate Stop-Loss protocols to protect capital.
- Reliability: Designed a comprehensive logging system to track execution errors, network latency, and API rate-limiting, ensuring high uptime.
- Analytics: Built a custom reporting suite to track ROI metrics and win/loss ratios. Achieved an 85.58% win rate across 215 closed trades by optimizing entry triggers based on real-time data.
Python
REST APIs
WebSockets
Algorithmic Trading
Data Analysis