How to Evaluate Trading Systems with Backtest Performance Metrics
Summary
A strategy performance report brings together trade records, returns over different periods, graphs, and summary statistics for either historical tests or live trading. The document recommends beginning with total net profit, profit factor, percent profitable, average trade net profit, and maximum drawdown, while also using trade lists and equity curves to inspect how results developed over time.
It explains how the five metrics are calculated and what each reveals. Examples illustrate that profit factor compares gross profits with gross losses, and that win rate must be interpreted in light of typical win and loss sizes: a trend strategy may succeed with fewer winners, while a scalping approach generally needs more. Average trade profit can be distorted by an unusually large trade, and maximum drawdown should be compared with account size and risk tolerance. These measures offer a starting point, not a complete verdict: net profit alone does not account for risk or efficiency, and backtest results describe a specified historical period rather than guaranteeing future performance.
Key ideas
- A performance report combines summary metrics with trade-level records, periodic returns, and visualizations.
- Total net profit is useful but does not show risk or efficiency on its own.
- Profit factor compares gross gains with gross losses, while win rate must be judged alongside the size of wins and losses.
- Average trade profit can be skewed by outliers, so inspect whether results depend on exceptional trades.
- Maximum drawdown helps assess whether a system fits an account's size and the trader's risk tolerance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.