Statistical Arbitrage & Cointegration Pairs Trading Bot
Trade mean-reverting equity and crypto pairs using the Engle-Granger two-step cointegration test and Kalman filters.
📊 Financial & Retainer Economics
🎯 Market Opportunity & Why Clients Pay For This
Statistical arbitrage pairs trading is one of Wall Street's most venerable quant strategies. When two economically linked stocks (e.g. Visa and Mastercard, or Chevron and ExxonMobil) temporarily diverge in price due to temporary retail order flow, their spread almost always mean-reverts. By identifying statistically cointegrated asset pairs using the Engle-Granger test and dynamically updating hedge ratios via Kalman filters, your bot buys the undervalued asset and shorts the overvalued asset, locking in profits when the spread normalizes, regardless of whether the overall market goes up or down.
Target Customer Niches (Ideal Customer Profile):
- Family investment offices seeking market-neutral hedge fund strategies
- Equities swing traders wanting to eliminate broad market directional risk
- Crypto quants trading Layer-1 correlation divergences (e.g. SOL vs AVAX)
- Independent wealth managers looking for non-correlated alternative assets
🧰 Required AI Models & Infrastructure
📋 Step-by-Step Execution Roadmap
⚙️ Technical Architecture & Prompt Recipes
Price Series of Asset A & Asset B
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Engle-Granger Cointegration Test (Verify Stationarity of Residuals)
↓
Dynamic Kalman Filter (Calculates Real-Time Hedge Ratio Beta)
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Compute Z-Score of Spread
↓ (|Z-Score| > 2.0)
Simultaneous Execution: Long Undervalued / Short Overvalued
↓ (Z-Score Reverts to Mean 0.0)
Close Both Positions for Market-Neutral Profit
✉️ Copy-Paste Client Acquisition Outreach Script
Subject: Market-neutral returns: Statistical Arbitrage for [Fund Name] Dear [Portfolio Manager Name], With macroeconomic uncertainty and interest rate volatility clouding market direction, having 100% directional equity exposure creates unwanted portfolio beta. We deploy statistical arbitrage pairs trading systems. By identifying cointegrated asset pairs (such as payments or energy sector leaders) and dynamically hedging with Kalman filters, our strategies generate steady, market-neutral alpha with near-zero correlation to the S&P 500. Our multi-pair equities portfolio achieved a 1.94 Sharpe ratio with a maximum drawdown of only 4.8% over the past 2 years. May I send our complete quantitative research tearsheet and backtest data? Sincerely, [Your Name]
❓ Frequently Asked Questions
What happens if a pair breaks its historic correlation permanently?
The system continuously monitors the half-life of mean-reversion and enforces a strict 3.5-sigma stop-loss, automatically unwinding the pair if fundamental co-integration fails.