R-Multiples: Measure Trading Results on One Risk Scale

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Learning objective: convert trade outcomes into R-multiples so that results from different markets and position sizes can be compared on the same risk scale.

Profit in pounds or dollars does not reveal whether a trade was well managed. A £500 gain may be strong if only £200 was planned at risk, or poor if £2,000 was exposed. An R-multiple expresses the result relative to the trade's initial planned risk.

1. Define one R before entry

One R is the amount the trader expects to lose if the original invalidation is reached, including an allowance for normal costs where practical.

Initial R = entry-to-stop distance × position size

For a long trade entered at £25 with a stop at £24 and 300 shares, price risk is £1 per share and initial R is £300 before fees and slippage. Risk must be recorded before the trade; redefining it afterwards makes the comparison unreliable.

2. Convert the final result

R-multiple = net trade profit or loss ÷ initial R

If the trade earns £600 after costs, the outcome is +2R. If it loses £240, the outcome is -0.8R. A gap through the stop might create -1.4R, which usefully shows that actual risk exceeded the plan.

R does not require every trade to risk the same money. A £100-risk trade and a £500-risk trade can both be assessed as +1.5R. This makes strategy review less distorted by account growth or changing position size.

3. Use a series, not one trade

The value appears across a meaningful sample. Record wins, losses, scratches and costs in R. Then calculate:

• Average winning R
• Average losing R
• Win rate
• Expectancy in R per trade
• Largest loss and drawdown in R

A method can be profitable with a low win rate if winners are much larger than losses. It can also lose money with a high win rate if occasional losses are uncontrolled.

4. Keep planned and actual R separate

Initial R measures the planned risk. Actual loss may differ because of slippage, gaps, partial exits or discretionary changes. Keep both fields. If losses repeatedly exceed -1R, investigate execution, liquidity, event exposure or failure to follow stops.

Do not move a stop farther away and call the new distance “one R”. That hides a rule break. The original risk unit must remain fixed for performance analysis.

Worked example

Assume five trades produce these net results:

• Trade 1: +2.0R
• Trade 2: -1.0R
• Trade 3: +0.5R
• Trade 4: -0.8R
• Trade 5: +1.3R

Total result is +2.0R across five trades, or +0.4R per trade. The win rate is 60%, but the more useful finding is the positive average result after losses.

If each trade had a different monetary risk, adding cash profits alone could misrepresent the strategy. R-multiples preserve the relationship between outcome and intended exposure.

This five-trade sample is too small for a firm conclusion. It demonstrates the calculation, not evidence of a durable edge.

Common mistakes

• Calculating R from the stop after the trade instead of before entry.
• Ignoring fees, spreads and slippage.
• Treating every loss as exactly -1R when gaps caused a larger loss.
• Comparing strategies with very different holding periods without context.
• Judging skill from one large positive R outcome.
• Increasing monetary risk after wins while claiming the process is unchanged.

Practical checklist

1. Was entry, invalidation and size defined before the trade?
2. What was initial monetary risk including expected costs?
3. What was the net realised result?
4. What is the outcome divided by initial R?
5. Did actual loss exceed the plan, and why?
6. Is the sample large enough to review meaningfully?
7. What are average win, average loss and expectancy in R?
8. Are results separated by setup and market regime?

The Money Man view

R-multiples create a common language for reviewing execution and strategy. They do not make risk disappear and do not prove an edge from a small sample. We use initial R as a fixed audit unit, then examine distributions and rule breaches rather than celebrating one large winner.

Educational information only. This tutorial is AI-assisted and published by The Money Man. It is not personalised investment advice, a recommendation or a promise of returns. Trading can result in losses.