Average R-Multiple
A good average R-multiple is above 0.3R per trade.
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The Formula
Average R = Sum of All R-Multiples / Total Number of Trades First calculate each trade's R-multiple by dividing its profit or loss by the initial risk amount (R). Then average all R-multiples across your trade history.
Benchmark Ranges
| Level | Range | What It Means |
|---|---|---|
| Poor | Below 0R (negative) | Net losing system on a per-trade basis |
| Average | 0.1R - 0.2R | Marginally profitable, thin margin for errors |
| Good | 0.3R - 0.5R | Solid edge with consistent per-trade profits |
| Excellent | Above 0.5R | Strong trading system with clear competitive edge |
How to Track
Define your initial risk (R) for every trade before entry — this is your stop loss distance in dollars.
After each trade closes, calculate the R-multiple: (Profit or Loss) / Initial Risk.
Maintain a running list of all R-multiples in your journal.
Calculate the average R-multiple over your last 50-100 trades.
How to Improve
Aim for trades with a minimum 2R profit target to improve your average R.
Cut losing trades closer to 1R loss instead of letting them run past your stop.
Review your R-multiple distribution — eliminate setups that consistently produce negative R.
Scale into winning trades to increase R on your best setups.
Why R-Multiples Matter
R-multiples are the universal language of trading performance. By expressing every trade’s result as a multiple of your initial risk, you create a standardized measure that works across different position sizes, account values, and instruments.
Van Tharp popularized this concept, and it remains one of the most powerful frameworks for evaluating trading performance. When you think in R, you stop asking “did I make money?” and start asking “did I make enough relative to what I risked?”
How to Calculate R
R is simply the dollar amount you risk on a trade. If you buy a stock at $50 with a stop loss at $48, your risk per share is $2. If you buy 100 shares, your total R is $200.
Each trade’s R-multiple is then: (Actual Profit or Loss) / R
- If you make $400 on the trade: R-multiple = $400 / $200 = 2R
- If you lose $200 on the trade: R-multiple = -$200 / $200 = -1R
- If you lose $150 (stopped out with slippage): R-multiple = -$150 / $200 = -0.75R
The R-Multiple Distribution
More informative than the average R-multiple alone is your R-multiple distribution — the spread of all individual trade results. A healthy trading system typically shows:
- Most losses clustered near -1R (you are honoring your stops)
- Wins spread across 1R to 3R, with occasional outliers above 5R
- Very few trades below -1.5R (no catastrophic losses)
If your distribution shows losses well beyond -1R, you have a stop discipline problem. If your wins are clustered around 0.5R-1R, you are cutting profits too short.
Average R and Position Sizing
Your average R-multiple directly informs position sizing decisions. If you know your average R is 0.35 and you take approximately 200 trades per year, your expected annual return is: 200 trades x 0.35R = 70R.
If R = 1% of your account, your expected annual return is 70%. This connection between average R, trade frequency, and returns makes it one of the most actionable metrics in trading.
Tracking R-Multiples With JournalPlus
JournalPlus automatically calculates R-multiples for every trade when you enter your initial stop loss. It displays your R distribution as a histogram, highlights your average R, and lets you filter by strategy, instrument, or timeframe. This turns the abstract concept of R into a practical daily tool.
Common Mistakes
Not defining R (initial risk) before entering a trade, making R-multiple calculation impossible.
Moving stops further away from entry, which inflates R and distorts your R-multiple data.
Averaging R-multiples across different strategies without segmenting, which hides underperformers.
Frequently Asked Questions
What does 2R mean in trading?
A 2R trade means you made twice your initial risk. If you risked $100, you made $200. R-multiples normalize all trades to your risk unit for objective comparison.
How many trades do I need for a reliable average R?
At least 50 trades for a rough estimate, and 100+ trades for a reliable average R-multiple. The more trades, the more confident you can be in the number.
What is a good R-multiple distribution?
A healthy distribution shows most losses clustered around -1R, with wins spread from 1R to 3R or higher. Occasional large winners (5R+) significantly boost your average R.
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