What an R-Multiple Is
An R-multiple expresses a trade’s profit or loss as a multiple of the initial risk taken on that trade, rather than as a raw dollar amount. If a trader risks $500 on a trade (the distance between entry price and stop-loss, defined as ‘1R’), and the trade closes for a $1,000 profit, that trade is recorded as ‘+2R.’ A trade stopped out exactly at the planned stop-loss is recorded as ‘-1R.’
Why Measuring in R Beats Measuring in Dollars
A trader’s position size, and therefore dollar risk, typically varies from trade to trade depending on the setup and instrument. Comparing raw dollar profit and loss across trades of very different sizes makes it hard to judge which setups are actually working. R-multiples put every trade on the same footing — profit or loss relative to what was risked — which makes it possible to objectively evaluate a strategy’s real edge.
From R-Multiples to Expectancy
Averaging R-multiples across a large sample of trades produces a strategy’s expectancy — the average R result you can expect per trade over the long run. A strategy with a 40% win rate, average winners of +3R, and average losers of -1R has an expectancy of (0.4 × 3) + (0.6 × -1) = +0.6R per trade, meaning it’s profitable long-run even though it loses more often than it wins.
R-Multiples and Position Sizing Work Together
Once a trader knows a strategy’s expectancy in R, position sizing determines how much capital to risk per trade to grow the account efficiently without excessive drawdown risk — commonly using a fixed percentage of capital per R, or a fraction of the theoretical Kelly Criterion bet size, rather than the full Kelly amount, which tends to be far too aggressive for most traders to tolerate emotionally.
| Trade Outcome | Dollar P&L (1R = $500) | R-Multiple |
|---|---|---|
| $1,000 profit | +$1,000 | +2R |
| Stopped out at planned stop | -$500 | -1R |
| $1,750 profit | +$1,750 | +3.5R |
| Closed early, before stop hit | -$250 | -0.5R |
Frequently Asked Questions
How do you define 1R for a given trade?
1R is typically defined as the dollar difference between your entry price and your planned stop-loss price, multiplied by position size. It’s fixed at the time you enter the trade, before you know the outcome.
Is win rate or average R-multiple more important?
Neither alone tells the full story. A high win rate with a poor average R-multiple on losers can still produce a losing strategy, while a low win rate with a large average R-multiple on winners can still be strongly profitable — expectancy combines both into a single useful number.
What happens if you exit before hitting your stop-loss?
The trade is recorded as a smaller loss than -1R, such as -0.5R, reflecting that discretion — not the plan — determined the exit. Conversely, failing to honor a stop and taking a larger loss shows up as worse than -1R, which is a useful flag for reviewing discipline.
Do long-term investors use R-multiples too?
It’s most common among short-term traders, but long-term investors who define a stop-loss or risk threshold at the time of purchase can apply the same framework to bring more structure to their own risk management.
Key Takeaways
R-multiples convert every trade’s profit or loss into a multiple of the risk originally taken, making it possible to compare performance across trades of very different sizes on equal footing. Averaging R-multiples over a large sample produces a strategy’s expectancy, which reveals whether a strategy has a real long-run edge regardless of how the win rate alone might look. This article is for informational purposes only and does not constitute investment advice.
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