Our autonomous engine deploys five specialized strategies across sports markets. Each one scans, detects, sizes, executes, and monitors โ 24/7, sub-second, no emotion.
When a team builds a commanding lead (15+ points in NFL, 20+ in NBA), the market often overreacts, mispricing the losing side's comeback odds. The Blowout Strategy detects these divergences and enters contrarian positions with favorable risk-reward ratios.
Positions are sized dynamically based on score differential, time remaining, and historical comeback frequency for the specific sport and league.
Score differential exceeds threshold + implied probability drops >25% below model price + minimum 15% time remaining in regulation.
Monitors real-time ESPN data feeds โ injuries, weather changes, lineup shifts, and pregame intel โ before the broader market processes the information. This sub-second data advantage creates windows of mispricing.
The engine cross-references historical impact of similar events on market lines to calculate expected value before placing trades.
Data anomaly detected in feed + estimated line movement >1.5 points + confidence score >0.75 from impact model.
Tracks real-time scoring pace, possession efficiency, and run differentials. When a team enters a scoring surge (e.g., 3 consecutive baskets, a penalty kill in hockey), the strategy rides the wave with tight stop-losses.
Uses exponential decay models to weight recent events more heavily, exiting positions as momentum naturally fades.
Scoring pace exceeds rolling average by >2ฯ + momentum indicator crosses threshold + market hasn't yet priced the shift.
In prediction markets, settlement prices can diverge from true probability during the final minutes before resolution. This strategy identifies markets where the settlement mechanism creates temporary inefficiencies.
Particularly effective in markets with binary outcomes where the underlying event has already occurred but settlement hasn't yet been finalized.
Market price <95% on near-certain outcomes + time to settlement <10 minutes + liquidity depth supports position size.
Operates at the portfolio level, not individual trades. Monitors aggregate exposure across all active strategies and automatically places hedge positions when concentration risk or correlated losses exceed thresholds.
Uses copula models to estimate tail-risk correlations between positions across different sports and market types.
Portfolio VaR exceeds 5% of capital + correlated position exposure >30% + drawdown acceleration detected.