Trading Backtest Review

Review your trading backtest for hidden errors, reliability risks, and unrealistic assumptions. 

Practical Data Analysis Services : I help clients clean, visualize, fit, and review data so that their reports are clearer, more reliable, and easier to verify. 

A profitable backtest is not always a reliable strategy. I review trading backtests for common hidden problems such as look-ahead bias, data leakage, overfitting, missing transaction costs, weak benchmarks, and lack of walk-forward validation. 

Suitable For

• Independent traders

• Quant researchers

• Financial bloggers

• Fintech teams

• AI trading projects

• Strategy developers

• Research groups

Review Items

• Look-ahead bias check

• Data leakage risk check

• Train/test split review

• Walk-forward validation review

• Transaction cost review

• Slippage assumption review

• Drawdown and tail-risk review

• Benchmark fairness review

• Reproducibility checklist

Deliverables

• Backtest review report

• Risk checklist

• Key failure mode summary

• Suggested corrections

• Optional revised backtest structure

• Optional residual and drawdown charts