Statistical Pairs Trading
Statistical Pairs Trading identifies cryptocurrency pairs that historically move together (cointegrated) and trades the spread when it deviates from historical norms. By going long one asset and short another, the strategy remains market-neutral and profits from the mean reversion of the spread.
Strategy Overview
Strategy Parameters
Historical period for pair analysis
Standard deviation threshold for entry
Target spread for position close
Number of monitored pairs
Entry Signals
Advantages
- Market-neutral (hedged)
- Consistent returns profile
- Lower correlation to market
- Statistical edge is quantifiable
Risks to Consider
- Correlation breakdown during stress
- Cointegration can disappear
- Funding costs on short positions
- Requires larger capital base
Related Strategies
Important Risk Information
Past performance does not guarantee future results. All trading strategies involve risk, and you may lose some or all of your invested capital. The win rates and Sharpe ratios shown are based on backtesting from 2015-2024 and may not reflect future performance. Always use proper position sizing and risk management.