backtesting

Walk-forward validation confirms strategy robustness by testing parameters on out-of-sample data segments. This process ensures performance metrics hold true beyond the initial backtesting window before live deployment.

Zero trades in backtests often stem from overly strict parameter sweeps or incorrect window selection. Diagnosing exit reasons and adjusting strategy thresholds resolves these execution blocks.

Choosing appropriate backtesting windows requires matching the timeframe to your strategy's frequency and market conditions. Selecting relevant periods ensures accurate performance analysis and reliable headline numbers.

Parameter sweeps should systematically vary strategy inputs to identify stable performance metrics. Analyzing trade count and exit reasons across these sweeps prevents overfitting before deployment.

Estimating backtest compute cost involves assessing data granularity and window length. Calculating run time expectations prevents resource bottlenecks during extensive parameter sweeps.

Exit reason analysis evaluates the quality and triggers of trade closures within backtest results. Assessing these reasons helps refine exit logic and strengthens overall strategy robustness.