A high win rate feels reassuring because it turns uncertainty into a percentage. Sixty-eight percent sounds better than fifty-eight percent. Until you ask what the winners earned, what the losers cost and how much adverse movement the strategy had to survive along the way.

Win rate is useful. It is incomplete.

Two closely related parts of this decision are MFE and MAE Explained: What Trade Geometry Reveals That P&L Hides and Can You Trust Your Backtest? 8 Checks Before You Risk Real Money.

The payoff ratio changes the meaning

A strategy can win most of the time and still lose money if the occasional loss is large enough. Another strategy can lose more often and remain attractive because its winners are materially larger than its losers. The relationship between frequency and payoff is what matters economically.

Tail losses can sit quietly for a long time

Some strategies collect many small gains and occasionally experience a very large loss. A benign historical period can make that profile look exceptionally stable because the defining tail event simply did not occur. Short samples are especially dangerous here.

Costs care about turnover, not your win rate

A strategy that wins frequently but trades constantly may hand a large share of its gross edge to spread, commission and slippage. Small targets can become uneconomic even when the percentage of winning trades remains attractive.

The path matters

MFE and MAE add information that win rate cannot. A winner that regularly goes deeply negative first has a different risk profile from one that moves cleanly after entry. A loser that once had substantial unrealised profit may point to an exit problem rather than an entry problem.

Context can change the distribution

A strategy may have an attractive overall win rate while one market state contributes most of the losses. That does not mean a regime filter should immediately be added. It means the state deserves investigation as a possible explanation and a separate hypothesis.

Ask a better question

Instead of asking only 'what percentage wins?', ask: what is the distribution of outcomes, how large are the losses, what does the path look like, what do costs remove, how concentrated are the results and which conditions change the economics?

Those questions are less comforting than a single percentage. They are also closer to the decision you actually need to make.