What Is an R-Multiple in Trading?
A 4-minute read on measuring trades in risk units
An R-multiple expresses a trade's result as a multiple of the amount you risked on it. Your risk — the distance from entry to stop-loss, in money — is 1R. If you risk ₹1,000 and the trade makes ₹2,400, that's a +2.4R win; if it hits your stop for the full loss, that's −1R. The formula is simple: R-multiple = profit or loss ÷ initial risk. Traders measure in R instead of rupees because money totals lie when position size changes — a ₹50,000 month taken at triple your normal size isn't triple the skill. Thinking in R standardises every trade across instruments and account sizes, so you can compare a NIFTY options trade and a EURUSD trade on the same scale. Track the R-multiple of every trade, and your average — your expectancy in R — tells you whether your system actually has an edge.
How to calculate an R-multiple
You need two numbers: your initial risk (1R) and the result of the trade. Your initial risk is set the moment you enter — it's the distance from your entry to your stop-loss, multiplied by your position size. That number never changes after entry, even if you move your stop. Then:
| Trade | Risk (1R) | Result | R-multiple |
|---|---|---|---|
| Hit full target | ₹1,000 | +₹2,400 | +2.4R |
| Stopped out | ₹1,000 | −₹1,000 | −1.0R |
| Scratched early | ₹1,000 | −₹150 | −0.15R |
| Partial win | ₹1,000 | +₹600 | +0.6R |
The same works in forex: if your stop is 25 pips away and 1 standard lot makes the trade worth $10 per pip, your risk is $250 (1R). Close it for +$625 and that's +2.5R. The currency and instrument don't matter — R puts every trade on one scale.
Why measure in R instead of money
Money totals are misleading because they blend two different things: how good the trade was, and how big you bet. A trader who makes ₹50,000 by tripling their normal size on one lucky trade did not have a better month than one who calmly banked +8R across twenty disciplined trades — but the rupee column says otherwise. R strips position size out of the picture so you can see the quality of the decision underneath.
- It's comparable. A +2R options trade and a +2R forex trade represent the same edge, regardless of account size.
- It exposes oversizing. Big rupee numbers that come from big bets show up as ordinary R — the illusion of skill disappears.
- It survives account changes. Double your capital next year and your R-history is still directly comparable.
R-multiples and expectancy
Once every trade has an R-multiple, your expectancy is just the average of them. If your last 100 trades average +0.3R, you make 0.3R every time you risk 1R — a real, measurable edge. Negative expectancy means the system loses money over time no matter how many individual winners you remember. This is why professionals obsess over R: it turns "I think my strategy works" into a number you can actually defend.
- 1R = what you risked. R-multiple = result ÷ 1R.
- Average R per trade = your expectancy = whether you have an edge.
Tracking R without the spreadsheet
The hard part isn't the maths — it's logging the risk on every single trade, honestly, including the ones you'd rather forget. Fenix records your entry, stop and exit, computes the R-multiple automatically, and rolls it up into your expectancy and equity curve so you can see your real edge at a glance. No signals, no tips — just the mirror.
Related: How to keep a trading journal · What is a trading discipline score?