R-Multiple
Definition
R-multiple is a way to measure trade outcomes in units of initial risk — a 2R trade means you made twice your initial risk as profit, a -1R means you lost your full stop amount, and expressing all trades in R-multiples lets you evaluate your system's performance independent of dollar amounts.
Example
“I risked $300 on the trade (1R). It hit my target for $720 profit — that's a 2.4R winner. When I evaluate my system, I don't care about the dollars per trade; I look at whether I'm averaging positive R across 50+ trades.”
Detailed Explanation
The R-multiple framework, popularized by Van Tharp, is one of the most useful lenses for analyzing trading performance because it normalizes every trade to a common unit — your initial risk. When you express all trades as multiples of R, you can compare a $50 trade and a $5,000 trade on equal footing. A $50 trade where you risked $25 is a 2R winner. A $5,000 trade where you risked $500 is also a 2R winner. The dollar amount is irrelevant for evaluating the quality of the trade decision and risk management; what matters is whether the outcome is a multiple of your planned risk.
The practical implication: your expectancy (average R per trade across a large sample) is the fundamental measure of whether your trading system has positive edge. Expectancy = (Win Rate × Average Win in R) − (Loss Rate × Average Loss in R). A system where you win 40% of the time but average 3R on winners and -1R on losers has an expectancy of (0.4 × 3) − (0.6 × 1) = 1.2 − 0.6 = +0.6R per trade. Applied consistently with proper position sizing, that positive expectancy compounds into account growth. Negative expectancy systems cannot be saved by trade selection or luck over time.
Tracking your R-multiples over time reveals patterns that dollar-based P&L can hide. Are your average winners really 2R or are they 1.1R because you're taking profits too early? Are your average losers -1R or are they -1.8R because you're sometimes not stopping out when you should? Are your losses skewed — mostly -1R with occasional -3R outliers that suggest you're letting some trades run far past your stop? R-multiple analysis turns your trading journal from a record of what happened into a diagnostic tool for what needs to change.