86.9% Win Rate Trading Polymarket Crashes: The Algorithm That Detects Panic Selling

Most prediction market traders watch prices. My bot watches behavior. After 84 trades with an 86.9% win rate, here's the crash detection algorithm I built to buy prediction market contracts when everyone else is panic selling — and why behavioral signals beat price signals every time. The Core Insight: Crashes Are Predictable Polymarket crashes follow a pattern: A news event triggers fear Retail traders dump contracts at market price Price overshoots the "true" probability by 15-40% Smart money buys the dip Price recovers within 2-24 hours My bot is step 4, automated. The Crash Detection Algorithm The system monitors three signals simultaneously: def detect_crash(market_id: str, window: int = 300) -> dict: """ Detect crash conditions on a prediction market. Returns signal strength 0-1 and recommended position size. """ prices = get_price_history(market_id, seconds=window) orderbook = get_orderbook(market_id) # Signal 1: Velocity — how fast is price dropping? price_change = (prices[-