Cointegration Pairs Strategy (C#)

by StockSharp

Cointegration Pairs Strategy This strategy trades two assets that share a long-term cointegration relationship. By calculating the residual between the first asset and a beta-adjusted second asset, it...

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NuGet 5.0.2 Install-Package StockSharp.Strategies.0222_Cointegration_Pairs -Version 5.0.2
Cointegration Pairs Strategy (C#)

Cointegration Pairs Strategy

This strategy trades two assets that share a long-term cointegration relationship. By calculating the residual between the first asset and a beta-adjusted second asset, it looks for deviations that historically revert back to equilibrium.

Testing indicates an average annual return of about 103%. It performs best in the stocks market.

A long position buys the first asset and sells the second when the residual z-score drops below -EntryThreshold. A short position sells the first and buys the second when the z-score rises above the threshold. Positions are closed once the spread normalizes toward zero.

Cointegration pairs trading suits statistical arbitrageurs comfortable managing two instruments simultaneously. The built-in stop-loss protects against extreme moves if the relationship temporarily breaks down.

Details

  • Entry Criteria:
    • Long: Residual Z-Score < -EntryThreshold
    • Short: Residual Z-Score > EntryThreshold
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit when |Z-Score| < 0.5
    • Short: Exit when |Z-Score| < 0.5
  • Stops: Yes, percentage stop-loss.
  • Default Values:
    • Period = 20
    • EntryThreshold = 2.0m
    • Beta = 1.0m
    • StopLossPercent = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Arbitrage
    • Direction: Both
    • Indicators: Cointegration
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: Yes
    • Risk Level: Medium

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