R-multiple is a way of expressing trade results as a multiple of the initial risk. Instead of saying “I made $300,” you say “I made 2R”—meaning you made twice what you risked. This standardization allows fair comparison between trades of different sizes and is essential for proper position sizing and expectancy calculations.
- R = Initial risk amount; 1R is what you stand to lose if stopped out
- Winning trades have positive R-multiples (1R, 2R, 3R); losses are negative (-1R)
- Average R-multiple per trade (expectancy) determines long-term profitability
How R-Multiple Works
R-multiple measures results relative to risk, not in absolute dollars. This normalization reveals true trading skill.
R-Multiple = Actual Profit or Loss / Initial Risk (1R)
Where 1R = Entry Price - Stop Loss Price × Position Size
Quick Reference
| R-Multiple | Meaning | Trade Quality |
|---|---|---|
| -1R | Lost full risk amount | Normal stop loss hit |
| -0.5R | Lost half the risk | Early exit or partial loss |
| 0R | Breakeven | Scratched trade |
| +1R | Made 1× your risk | Target at 1:1 R:R |
| +2R | Made 2× your risk | Target at 1:2 R:R |
| +3R or more | Made 3× your risk | Excellent winner |
Example Calculation
Trade Setup:
- Entry Price: $150 (AAPL)
- Stop Loss: $145
- Position Size: 100 shares
- Risk Per Share: $5
- Initial Risk (1R): $500
Scenario 1: Hit Target at $165
- Profit: ($165 - $150) × 100 = $1,500
- R-Multiple: $1,500 / $500 = +3R
Scenario 2: Stopped Out at $145
- Loss: ($145 - $150) × 100 = -$500
- R-Multiple: -$500 / $500 = -1R
Scenario 3: Partial Exit at $158
- Profit: ($158 - $150) × 100 = $800
- R-Multiple: $800 / $500 = +1.6R
R-multiple expresses trade results as multiples of initial risk. A 2R win means you made twice what you risked. A -1R loss means you lost your planned risk amount. Using R-multiples normalizes results across different position sizes.
Why R-Multiples Beat Dollar Amounts
Consider two traders discussing results:
Using Dollars:
- Trader A: “I made $2,000 today”
- Trader B: “I made $500 today”
Trader A sounds better. But what if:
- Trader A risked $4,000 (result: 0.5R)
- Trader B risked $100 (result: 5R)
Using R-Multiples:
- Trader A: “I made 0.5R”
- Trader B: “I made 5R”
Now it’s clear Trader B had the superior trade. R-multiples reveal skill, not just account size.
Building an R-Multiple Distribution
Track your trades by R-multiple to see your distribution:
| R-Multiple | Trades | % of Total |
|---|---|---|
| -1R | 25 | 25% |
| -0.5R to 0R | 15 | 15% |
| 0R to +1R | 20 | 20% |
| +1R to +2R | 25 | 25% |
| +2R to +3R | 10 | 10% |
| +3R+ | 5 | 5% |
This distribution shows most losses are -1R (controlled), and you have a healthy tail of big winners (+2R or more).
Calculating Expectancy Using R-Multiples
Once you have your R-distribution, calculate expectancy:
Expectancy (R) = Sum of All R-Multiples / Number of Trades
Example from 10 trades: +2R, -1R, +1.5R, -1R, +3R, -1R, +0.5R, -1R, +2R, -1R
Sum: 2 - 1 + 1.5 - 1 + 3 - 1 + 0.5 - 1 + 2 - 1 = +4R
Expectancy: 4R / 10 trades = 0.4R per trade
This means you make 0.4 times your risk on average per trade—a profitable system.
Common Mistakes
-
Inconsistent risk definition – Always define 1R before entering. If your stop changes, so does your R calculation.
-
Not including commissions – For accurate R-multiples, include transaction costs in your profit/loss calculation.
-
Moving stops and not adjusting – If you move your stop, you’re changing your R. Track the original R for consistency.
-
Averaging results without R – Don’t average dollar profits across different position sizes. Always convert to R-multiples first.
How JournalPlus Tracks R-Multiples
JournalPlus automatically calculates R-multiples for each trade when you log your planned risk. You can view your R-distribution, track average R over time, and analyze which setups produce the highest R-multiples—essential data for optimizing your trading strategy.
