News Arbitrage Dashboard

This strategy combines a news monitoring pipeline with Polymarket market analysis to capture arbitrage opportunities arising from real-world events. The dashboard ingests RSS feeds, Twitter/X APIs, and selected news sources, then maps detected events to active Polymarket markets using keyword and entity matching. When significant news breaks (e.g., political developments, economic data releases), the bot checks for price dislocations across related outcome pairs, particularly in markets that react asymmetrically. Entry involves buying mispriced outcomes before the broader market adjusts, often within seconds of the news. Exit is timed to volatility decay or when the market true odds stabilize. The dashboard provides a visual interface for trade logs and P&L. Implementation uses a Python backend for NLP and a React frontend, with execution routed through the Polymarket SDK. Results from the 2025 election cycle showed an edge of 3-8% per trade on high-signal events.