Checklist, in Backtesting & Validation
Pairs Trading Validation Checklist
Pairs trading lives or dies on whether the spread actually reverts and keeps reverting. Correlation is not enough; the statistical relationship must be stationary and stable. This checklist validates a candidate pair before any capital is committed.
12 items. Published May 26, 2026. By AI Fin Hub Research.
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Progress saves locally, so you can work through the page over multiple sessions without resetting your checklist.
Sections
Work in focused batches instead of one long wall
Section 1
Phase 1: Relationship validity
Use the Pair Trading Cointegration Tester: Paste two price series. Engle-Granger cointegration test: OLS hedge ratio, Augmented Dickey-Fuller on residuals, Ornstein-Uhlenbeck half-life, z-score.
Section 2
Phase 2: Reversion dynamics
Use the Cointegration Half-Life Solver: Engle-Granger residual ADF + Ornstein-Uhlenbeck half-life from any two price/return series. Hedge ratio, p-value, spread chart. Browser-only.
Section 3
Phase 3: Spurious-pair defense
Use the Backtest Overfitting Score: Upload a backtest trade log and compute Probability of Backtest Overfitting (PBO), Deflated Sharpe Ratio, and the odds your edge survives live trading.
Use the Walk-Forward Validator: Upload a returns CSV. Rolling or expanding IS/OOS windows, per-window Sharpe, walk-forward efficiency, and a concatenated OOS equity curve. Catches regime.
Section 4
Phase 4: Tradeability
Use the Statistical Arbitrage Capacity Calculator: Maximum strategy AUM from alpha, slippage, fees, daily volume and volatility, and signal half-life. Square-root impact closed-form.
Use the Execution Simulator: Estimate execution cost in closed form — square-root permanent impact, linear temporary impact, half-spread, and a latency-drift band. See the slippage a naive backtest hides.
Tips
Small moves that make the checklist easier to finish
Sources
- Co-integration and Error Correction: Representation, Estimation, and Testing , Engle, Granger, Econometrica (1987)
- Pairs Trading: Performance of a Relative-Value Arbitrage Rule , Gatev, Goetzmann, Rouwenhorst, Review of Financial Studies (2006)
Keep the topic connected
- Checklist Trading Strategy Validation Checklist
A sign-off checklist for validating a trading strategy before risking capital: data hygiene, out-of-sample testing, trial accounting, deflated Sharpe, and risk backtests.
- Learn Overfitting
Overfitting in trading-strategy backtests: how multiple-testing inflates apparent edges and the diagnostics that catch it.
- Learn Look-Ahead Bias
Look-ahead bias: when a backtest accidentally uses data the strategy wouldn't have had at decision time. The most common variants and how to catch them.
- Learn Volatility
Volatility as the standard deviation of returns: realized vs implied, the annualization gotcha, and why volatility-of-volatility matters.