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Level 12 · Lesson 6 of 12

Reward-to-Risk and Expectancy

Why you can be wrong most of the time and still make money.

6 min read+10 XPUpdated November 2026

Reward-to-risk (R:R) compares what you can win to what you can lose. Risk $100 to make $300 = 1:3.

Reward 3RRisk 1REntryforex20.com
A 1:3 trade drawn on the chart

The win rate you need

Formula
Break-even win rate = 1 ÷ (1 + R)
1:1 reward-to-riskneed 50% wins1:1.5need 40%1:2need 33.3%1:3need 25%
Higher reward-to-risk means you can be wrong more often

Expectancy: the number that matters

Formula
Expectancy = (win rate × average win) − (loss rate × average loss)
Example

40% wins averaging 2.5R, 60% losses averaging 1R: 0.40 × 2.5 − 0.60 × 1 = +0.40R per trade. Risking $100, that's about +$40 per trade on average.

Wick says

You can lose 6 out of 10 trades and still be profitable. Mind blown? Mine too, the first time.

Key takeaways
  • R:R compares potential reward to risk.
  • Higher R:R lowers the win rate you need.
  • Positive expectancy over many trades is the goal.