R-Multiple: The Universal Trading Performance Unit
Macro Glossary, Orders and Risk
By Ken Chigbo, macro trader and founder of KenMacro, 18+ years in markets.
Updated 2026-05-20
The desk’s answer
An R-multiple expresses the result of a trade as a multiple of the dollar risk taken. 1R is the stop distance in money terms (entry price minus stop price, times position size). A trade that gained twice the planned loss is +2R; a trade that lost more than planned because of slippage might be minus 1.2R. R-multiples normalise outcomes across instruments and position sizes: a +2R win on a small EUR/USD trade and a +2R win on a large gold trade contribute equally to strategy expectancy. The standard metric for evaluating a trading system is average R per trade across a meaningful sample.
Defined term, R-multiple
An R-multiple is the result of a trade expressed as a multiple of the dollar risk taken, where 1R equals the absolute distance from entry to stop loss in monetary terms. A trade that gained twice the planned loss is +2R; a trade that lost the planned amount is minus 1R. R-multiples normalise trade outcomes across instruments, position sizes and account balances, making them the standard unit for measuring strategy expectancy.
Calculating R-multiples
1R equals the absolute dollar distance from entry to stop loss, multiplied by position size. A long EUR/USD entered at 1.0850 with a stop at 1.0800 has a 50-pip stop. At 1 standard lot, 50 pips equals 500 dollars, so 1R is 500 dollars. A trade closed at 1.0950 (100 pips profit) returned 1,000 dollars, which is +2R. A trade closed at 1.0820 (30 pips profit) returned 300 dollars, which is +0.6R. A stop-out at 1.0795 (negative slippage) loses 550 dollars, which is minus 1.1R. R-multiples are reported as positive for wins and negative for losses, with the average R across a sample (say 50 trades) the headline strategy metric.
Why R-multiples matter for expectancy
A strategy’s expectancy equals (win rate times average winning R) minus (loss rate times average losing R). A 40-percent strategy with average +2R wins and average minus 1R losses has expectancy of (0.40 times 2) minus (0.60 times 1) = 0.80 minus 0.60 = +0.20R per trade. Across 200 trades that is +40R of expected profit, which at 1-percent risk per trade is +40 percent of starting balance. R-multiples make this calculation portable across instruments, account sizes and time periods. A trader who reports profit in dollars cannot compare across strategies; a trader who reports in R can.
Common errors in R reporting
Three traps. First, using the realised loss as 1R instead of the planned loss: if slippage makes a stopped trade minus 1.1R, the next trade is not normalised against the same 1R because the dollar 1R was already eroded. Use planned 1R as the denominator. Second, ignoring fees and commission in the R calculation: a 1R win that pays 0.5R in commission is functionally a 0.5R win, but reported as 1R it inflates the strategy. Third, using a moving 1R definition: as account balance grows, dollar 1R grows too, so reporting cumulative R requires consistent risk-percent treatment. The Van Tharp method (R as the trade-specific dollar risk) is the canonical reference.
Frequently asked
What does 1R mean in trading?
1R equals the absolute dollar distance from entry to stop loss, multiplied by position size. It is the planned loss on the trade if the stop hits as designed. R-multiples express trade outcomes as multiples of this 1R, normalising results across instruments and position sizes.
How do I calculate R-multiples?
Subtract entry from stop in price terms, take the absolute value, multiply by position size to get 1R in dollars. The trade result in dollars divided by 1R gives the R-multiple, positive for wins and negative for losses. A +500 dollar profit on a 250 dollar 1R is a +2R outcome.
Why use R-multiples instead of dollars?
Because dollars depend on position size and account balance, which makes strategy comparison meaningless across instruments and time. R-multiples normalise results: a +2R win is a +2R win whether the underlying trade was 100 dollars at risk or 10,000 dollars. Expectancy in R is the canonical strategy metric.
What this means at the desk
Report every trade in R, not in dollars. The strategy lives or dies on R-expectancy, not on dollar profit.
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