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R-multiples explained: measure every trade in R

5 min read · Updated 19 Oct 2026 · By the VOLERON team

"R" is short for risk: the amount you planned to lose if your stop got hit. Measuring every trade as a multiple of that risk is one of the simplest upgrades you can make to your journal.

How to calculate an R-multiple

R-multiple = profit or loss on the trade ÷ planned risk

Planned riskResultR-multiple
$200+$500+2.5R
$200−$200−1R
$200+$60+0.3R
$200−$340−1.7R

That last row is a red flag. A loss bigger than −1R means the stop was moved, ignored or skipped by slippage. Your journal should flag every one.

Why R beats dollars

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Expectancy in R

Add up the R of all your trades for a setup and divide by the number of trades, and you get that setup's expectancy in R, the average you make per trade for each unit of risk.

Expectancy (R) = total R ÷ number of trades

Example: 40 trades totalling +14R gives an expectancy of +0.35R. At $200 risk per trade, that's about $70 per trade on average. Anything above zero over a decent sample is an edge. Full guide: trading expectancy explained.

What's a good average win in R?

It depends on your win rate. A 40% win rate needs average wins above 1.5R to make money. A 65% win rate can work with wins under 1R. That's why you look at win rate and R together. See win rate vs risk-reward.

Common R mistakes

VIOLA, the VOLERON AI coach

Get these numbers calculated for you

VOLERON works out expectancy, profit factor, win rate and drawdown for every setup and session, automatically.

Try VOLERON free for 7 days

Frequently asked questions

What does R mean in trading?

R is your planned risk on a trade: the amount you would lose if your stop were hit. Results are measured as multiples of it, such as +2R or −1R.

How do you calculate R-multiple?

Divide the profit or loss on a trade by the amount you planned to risk. A $400 profit on $200 of risk is +2R.

Why do traders use R instead of dollars?

R makes trades comparable across position sizes and account sizes, highlights losses bigger than planned, and makes expectancy easy to calculate.

What is a good expectancy in R?

Any positive expectancy over a meaningful sample (50+ trades) is an edge. Many traders consider +0.2R to +0.5R per trade solid.

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