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Glossary

R-multiple

An R-multiple expresses a trade's result as a multiple of the amount initially risked on it, where 1R is that initial risk.

If you risk 100 on a trade and it closes 250 up, the result is +2.5R. If it is stopped out for the full 100, it is −1R. If slippage makes the loss 120, it is −1.2R. The idea is generally credited to the trading author Van Tharp.

Because the unit is risk, results become comparable across account sizes, instruments and stop distances. A 40-pip winner in one market and a 3-point winner in another can both be recorded as +1R, which makes a mixed record readable.

R-multiples are the basis for expectancy, which is the average R per trade, and for drawdowns measured in R. They also make sizing visible: a record in which risk stays near 1R per trade has a very different meaning from one in which it drifts.

One caveat: R hides money. A −1R loss when you risked double is still −1R but costs twice as much. For habits that involve size, read the R result and the amount risked side by side.

To use R you need a defined initial risk for every trade, which means a stop or an invalidation level decided before entry. Trades without one cannot be expressed in R honestly.

In Trader Reflect

Expectancy and drawdown in R

Reflect's Execution Review reports expectancy and drawdown from your results in R, by hour and session.

See what is inside

Read more

Expectancy in R: The One Number That Shows What a Habit CostsWhat R and expectancy mean, how to calculate them, and how to compare a habit's trades with your baseline without being fooled by small samples.

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Educational content, not financial advice. Trading involves risk of loss.