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What is R-Multiple?

R-Multiple measures each trade as a multiple of its initial risk, so every trade sits on the same scale.

BeginnerAURORA StandardAURORA Pro8 min read
The question

Why can two trades that both made 200 USD be one good trade and one bad trade?

After this lesson you will

  • Understand what 1R is and calculate it for a trade
  • See why measuring results in USD alone is misleading
  • Read +1.5R, +0.5R and −1R results of a partial take-profit plan

What is R-Multiple?

1R is the money you lose if the trade hits its stop loss. It is decided before entry from two numbers: the distance from entry to stop, and the position size.

A trade’s R-Multiple is its result divided by 1R.

Case Initial risk (1R) Result R-Multiple
Trade A 100 USD +200 USD +2R
Trade B 1,000 USD +200 USD +0.2R
Trade C 100 USD −100 USD −1R

Trades A and B made the same money, but A returned twice what it put at risk while B returned a fifth of it. R shows what the money figure hides.

Why is R better than measuring only in money?

  • Trades of different size become comparable. A small and a large trade sit on the same scale.
  • Markets become comparable. 50 points on gold and 50 pips on EURUSD are different things; +1R is the same thing.
  • The decision is separated from the size. A system has an edge when its average R per trade is positive over enough trades, whatever size you trade.
  • It is the basis of position sizing. Once you know how much 1R is worth to you, the size follows from the distance to the stop.

Where do traders get R wrong?

  • Setting the stop after entry. 1R is no longer decided in advance, and every later measurement drifts.
  • Widening the stop when price moves against you. The loss is now bigger than the original 1R, but the journal still says −1R.
  • Looking only at win rate. Winning 70% with an average win of +0.3R and losses of −1R is still a losing system: 0.7 × 0.3 − 0.3 × 1 = −0.09R per trade.
  • Ignoring commission and slippage. With a very tight stop, costs can be a large share of 1R.

Chart example

Illustration of a trade plan: entry, F-SL at −1R, TP1 at +1R, TP2 at +2R Illustration, not real market data.

A common partial take-profit plan: close half the position at TP1 (+1R) and half at TP2 (+2R).

What happens Calculation Result
TP1, then TP2 0.5 × 1R + 0.5 × 2R +1.5R
TP1, rest stopped at breakeven 0.5 × 1R + 0.5 × 0R +0.5R
Stop before TP1 1 × (−1R) −1R

How does AURORA use R?

AURORA draws a trade plan for every signal. The F-SL, the fixed stop set at the signal candle, defines 1R; TP1 defaults to 1R and TP2 to 2R. When a trade closes, the result label is written in R, for example ✓ +1.5R · TP2 or ✗ −1R · SL, and the dashboard adds up total R and average R per trade for each setup.

AURORA’s Strategy Validator sizes positions as a percentage of equity at risk, so Strategy Tester results follow the same logic.

You do not need AURORA to use R: a spreadsheet with entry, stop, size and result is enough.

When does R mislead?

  • Gaps and slippage. When price jumps through the stop, the real loss can exceed 1R. Record planned R and realised R separately.
  • Very tight stops. A tiny 1R makes results in R look large, but costs measured in R grow just as much.
  • Small samples. The average R of ten trades says little; you need more trades and an out-of-sample check.
  • Different holding times. Two systems at +0.3R per trade, one holding ten times longer, use capital very differently.

Practical checklist

  • Set the stop before you enter, not after.
  • Calculate 1R in money: entry-to-stop distance times position size.
  • Record every trade in R, not only in money.
  • Never widen the stop after entry: it changes 1R.
  • Judge a system by average R per trade over enough trades, after costs.

Video Explainer

The video for this article is in production. The full written lesson is already complete.

Video chapters

  1. Two trades, both up 200 USD
  2. Defining 1R
  3. Reading +1.5R, +0.5R, −1R
  4. R on the AURORA dashboard
  5. When R misleads
Show transcript
Two trades both made 200 USD. The first risked 100 USD, the second risked 1,000 USD. The money result is the same, but the quality of the decision is completely different. R-Multiple fixes that. 1R is the money you lose if the trade hits its stop. Every result is divided by that number. The first trade is +2R, the second only +0.2R. When a plan closes half at TP1 at 1R and half at TP2 at 2R, hitting both targets gives +1.5R. Taking TP1 and then stopping the rest at breakeven gives +0.5R. Hitting the stop before TP1 is −1R. On the AURORA dashboard, result labels and the average R row use exactly this measure. R has limits too: slippage and gaps can make the real loss larger than 1R, and a small sample is not enough to draw conclusions.

Product documentation

Educational and decision-support content, not investment advice. Chart examples are illustrative or historical and do not guarantee future results. Trading carries a risk of capital loss.