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Backtesting & Validation Checklist

Trading Strategy Validation Checklist

This checklist is the sign-off list for the strategy-validation process. Walk it before allocating capital and again whenever the strategy is modified.

12 ITEMSPublished May 26, 2026Live Content
By AI Fin Hub Research · AI Fin Hub Team

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Move item by item and keep your place

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Checklist Sections

Work in focused batches instead of one long wall

Section 1

Phase 1: Data hygiene

3 items
Use The ToolPlaygrounds

Execution Simulator

Model realistic order fills — square-root market impact, linear temporary impact, latency jitter, partial fills, and queue position. See the real cost.

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Section 2

Phase 2: Out-of-sample discipline

3 items
Use The ToolPlaygrounds

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.

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Use The ToolPlaygrounds

Walk-Forward Validation Visualizer

Paste a strategy returns CSV, get per-window in-sample vs out-of-sample Sharpe and the IS→OOS drop. Rolling and anchored window modes. Browser-only.

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Section 3

Phase 3: Selection-bias correction

3 items
Use The ToolCalculators

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.

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Use The ToolCalculators

Deflated Sharpe Ratio Calculator

Bailey & López de Prado deflated Sharpe — corrects observed Sharpe for selection bias across K trials. Reports deflated Sharpe, PSR (probability of skill).

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Section 4

Phase 4: Risk and capacity

3 items
Use The ToolPlaygrounds

VaR Backtest — Kupiec & Christoffersen

Paste P&L + VaR series and run Kupiec POF, Christoffersen independence, and joint conditional-coverage tests. Likelihood-ratio χ² p-values.

ToolOpen ->
Use The ToolCalculators

Statistical Arbitrage Capacity Calculator

Maximum strategy AUM from signal half-life, daily volume, slippage, fees, and target Sharpe. Square-root impact closed-form.

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Use The ToolCalculators

Drawdown-Recovery Markov Simulator

Time to recover from an N% drawdown given monthly Sharpe + skew + kurtosis. Cornish-Fisher Monte Carlo, percentile distribution of recovery months.

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Pro Tips

Small moves that make the checklist easier to finish

Treat the holdout window as a one-shot exam. The moment you change the strategy in response to it, you have spent it, and the only honest fix is a fresh untouched window.
When the deflated Sharpe is marginal, gather more data or cut the number of trials rather than searching harder for a higher raw Sharpe. Searching harder is what created the problem.
Independence failures in the VaR backtest matter more than frequency failures. A model that is right on average but wrong in clusters will be wrong when you can least afford it.

Sources & References

Related Content

Keep the topic connected

Backtesting & Validation8 MIN READ

How to Validate a Trading Strategy

A step-by-step process for validating a trading strategy without fooling yourself: out-of-sample testing, trial accounting, deflated Sharpe, and a VaR backtest.

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Backtesting & Validation2 FAQS

Overfitting

Overfitting in trading-strategy backtests: how multiple-testing inflates apparent edges and the diagnostics that catch it.

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Backtesting & Validation2 FAQS

Walk-Forward Optimization

Walk-forward optimization: rolling-window train/test that mimics live deployment. Why anchored vs sliding matters and the gotchas in window sizing.

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Backtesting & Validation7 VARIABLES

Deflated Sharpe Ratio Formula

The deflated Sharpe ratio formula: the probability a strategy's Sharpe is real after correcting for the number of trials, return skew, kurtosis, and sample length.

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Planning estimates only — not financial, tax, or investment advice.