"Use 3:1 risk-reward" is a common piece of advice that, in isolation, is almost meaningless. R:R only matters in the context of win rate.

The relationship

Break-even win rate ≈ 1 / (1 + R:R). At R:R 1:1, you need ~50% wins. At R:R 2:1, ~33%. At R:R 3:1, ~25%. The higher the R:R, the lower the win rate you can survive.

The catch

High R:R targets are reached less often. A 3:1 setup has, by definition, more space for noise to invalidate it. So your actual win rate at 3:1 is usually lower than your win rate at 1:1 — sometimes much lower.

Use expectancy instead

Expectancy = (win % × avg R-win) − (loss % × avg R-loss). A positive expectancy across a meaningful sample is the actual goal. R:R is one input to expectancy, not the full story.

How to find your real numbers

Backtest or forward-test your specific setups. Record outcomes in a journal. After 50+ trades, calculate win rate and average R per win and per loss. That is your real expectancy. Stop quoting industry averages and start using your own data.

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