Hurst AnalyticsQuantitative consulting

Model Validation

Backtesting Forecasting Models Without Fooling Yourself

Common backtesting traps, including leakage, unstable benchmarks, short holdouts, and misleading evaluation windows.

Article brief

Full article in preparation

This placeholder records the intended topic and scope without implying the full article has been published.

The article will examine the relevant method, evidence base, implementation constraints, and validation questions behind this topic.

The aim is to connect academic and applied quantitative research to practical systems for forecasting, risk measurement, reporting, and decision support.

Planned focus

Data leakageHoldout designEvaluation discipline

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