How to Interpret Five Core Strategy Backtest Metrics
Summary
This guide explains how to read a trading strategy performance report, whether it summarizes historical backtests or live results. It describes common report components: individual trade records, returns grouped by day or longer periods, and charts such as monthly profit bars and equity curves. These views help connect headline statistics to the sequence and distribution of outcomes.
The main evaluation framework focuses on total net profit, profit factor, percent profitable, average net profit per trade, and maximum drawdown. The article defines how each is calculated and explains why they need to be considered together. For example, net profit alone does not show how much risk was taken; win rate depends on the relative size of gains and losses; and average trade results can be distorted by an outlier. Maximum drawdown gives a practical measure of peak-to-trough loss that should be compared with account size and risk tolerance. The examples illustrate calculations, but the metrics themselves cannot establish that a backtest will generalize to future markets.
Key ideas
- A performance report combines summary statistics with trade-level records, periodic returns, and visualizations.
- Net profit should be considered alongside risk and other measures because it does not describe efficiency by itself.
- Profit factor compares gross gains with gross losses, while percent profitable measures the share of winning trades.
- Average net profit per trade estimates expectancy but can be skewed by unusually large outcomes.
- Maximum drawdown measures the largest decline from an equity peak and should fit the trader’s capital and risk limits.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.