Reading Backtest Metrics Without Overconfidence
How common backtest metrics such as return, drawdown, and win rate work as historical descriptors rather than personal guidance.
A metric is a summary of assumptions and history. It is not a complete trading decision.
Metrics compress context
A backtest metric can summarize a lot of data into one number. That is convenient, but it also hides the assumptions behind the number.
Rule definition, dates, assets, costs, sample size, drawdown path, and concentration of gains all affect how much weight a metric deserves.
Drawdown deserves attention
Return can feel exciting, but drawdown describes the size of historical loss from a prior high point. A strategy with a high return and a severe drawdown may still be hard to use responsibly.
ZadVest places risk metrics near return metrics so upside and downside remain part of the same view.
Win rate is incomplete
A high win rate can still lose money if losses are much larger than gains. A lower win rate can sometimes appear with larger average winners, depending on the rule and costs.
That is why ZadVest presents backtests as context, not as a simple scoreboard.