Overfitting Red-Flags Checklist
Overfitting is selection bias wearing a backtest. The more configurations you try, the higher the best-looking Sharpe rises by luck alone. This checklist is a list of warning signs to scan for before allocating capital and after any round of optimization. Essential flags are near-certain disqualifiers if unaddressed; recommended flags warrant deeper investigation; nice-to-have flags help you quantify how much of the result is real.
Checklist Progress
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Checklist Sections
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Section 1
Phase 1: Search-process flags
Section 2
Phase 2: Parameter fragility flags
Section 3
Phase 3: Equity-curve flags
Section 4
Phase 4: Generalization flags
Pro Tips
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Sources & References
- The Deflated Sharpe Ratio: Correcting for Selection Bias, Backtest Overfitting and Non-Normality — Bailey, Lopez de Prado, Journal of Portfolio Management (2014)
- The Probability of Backtest Overfitting — Bailey, Borwein, Lopez de Prado, Zhu, Journal of Computational Finance (2017)
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