Win Rate Is Not the PointMeasuring Your Edge

Why the number everyone quotes says almost nothing on its own — and what to look at instead. This lesson covers: Win rate alone is meaningless, The trap, Thinking in R, Name it, The win rate you actually need, Work it out, The tradeoff nobody escapes, Reading a claim, What to track instead, Put it together.

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More on win rate is not the point

Win rate is the metric most often quoted in trading marketing precisely because it can be true and meaningless at the same time. It is straightforward to produce a high win rate by taking small profits and holding losses.

The relationship between reward-to-risk and required win rate is fixed arithmetic, not opinion: at 1:1 you need above 50%, at 1:2 above 33%, at 1:3 above 25%. Any claim can be checked against it.

Common mistakes4
  • Optimising for win rate directly, which usually means cutting winners early and widening losers.
  • Comparing win rates between methods with different reward-to-risk profiles.
  • Believing advertised win rates without asking about sample size or the reward-to-risk they were achieved at.
  • Recording results in currency rather than R, which makes trades of different sizes impossible to compare.
From experience2
  • When you see a win-rate claim, calculate the breakeven rate for the stated reward-to-risk. The gap between the two tells you how extraordinary the claim actually is.
  • A method with a low win rate needs a written plan for losing runs, because they will be long. That is a psychological requirement, not just a statistical one.
Questions people ask3

What win rate should I aim for?

There is no target. It falls out of your reward-to-risk. A 30% win rate at 1:3 is profitable; a 60% win rate at 1:0.5 is not.

Is a high win rate ever a good sign?

Only alongside the reward-to-risk and sample size. On its own it describes frequency and says nothing about profit.

What is an R-multiple?

A result expressed as a multiple of the amount risked. Risking 1% and making 2% is +2R, regardless of account size — which makes trades comparable.