What Is R-Multiple?
An R-multiple measures a trade's result as a multiple of the initial risk (1R). If you risked $100 on a trade and made $300, that's a +3R trade. If you lost the $100, that's a -1R trade. R-multiples standardize performance across trades of different sizes, making it possible to compare and aggregate results meaningfully.
How R-Multiple Works
The R-multiple framework, popularized by Van Tharp, transforms trading into a probability game. Rather than thinking in dollars, you think in units of risk. Your expectancy becomes: (Win Rate × Average Win in R) - (Loss Rate × Average Loss in R). A system that wins 40% of the time with an average win of 3R and average loss of 1R has an expectancy of 0.6R per trade.
Why It Matters for Traders
Tracking R-multiples in your trading journal reveals your true edge. Most profitable traders have an average win between 1.5R and 3R with occasional 5-10R outliers. If your average loss exceeds 1R, you're not honoring your stops. R-multiple distribution analysis is the single most actionable metric for improving trading performance.