Statistical Arbitrage

How It Works

Exploit two historically cointegrated assets — when their spread deviates from the historical mean, go long the undervalued and short the overvalued, waiting for mean reversion. A classic quant hedge strategy, direction-independent, suitable for ranging markets. In crypto, commonly applied to BTC/ETH or tokens in the same sector.

Suitable Platforms

Suitable markets: any exchange. Requires historical data backtesting to determine cointegration and entry/exit thresholds. Common pairs: BTC/ETH, SOL/AVAX, etc.

Risk Level

Risk: Medium. Spread may not revert (cointegration breakdown), leading to bilateral losses. Black swan events break historical statistical patterns. Stop-loss discipline critical.

Common Pitfalls

• ⚠Cointegration breakdown: fundamentals can permanently diverge, cointegration no longer holds
• ⚠Overfitting: backtest looks great but fails live — must do out-of-sample testing
• ⚠Leverage use: stat arb profits are thin, over-leveraging amplifies tail risk