Polymarket Cross-Platform Arbitrage Engine

This strategy continuously scrapes event data from both Polymarket and Kalshi prediction markets. It compares prices for the same or logically equivalent outcomes across the two platforms. When a mispricing is detected such that a risk-free profit can be achieved by buying on one platform and selling on the other, the engine logs the opportunity and simulates the trade. The system is built as a Python-based scanner with an emphasis on identifying cross-exchange price discrepancies. It runs in paper-trading mode by default, meaning no real capital is deployed, but it provides actionable alerts. The implementation relies on asynchronous data fetching to maintain low latency. Results are reported as a stream of potential arbitrage sets, with position sizing implied by the depth available on each exchange.