What Is an R-Multiple?

Before a trade is opened, the plan already contains a number: the distance from the entry price to the stop loss, multiplied by what each unit of that distance is worth at the chosen position size. That amount of money — the most the trade is supposed to lose — is 1R, one unit of risk. Every later outcome of the trade is then expressed as a multiple of it.

With numbers: a long GBP/USD trade enters at 1.2740 with the stop at 1.2710 — a 30-pip distance. At 0.50 lots a pip is worth about $5, so 1R = 30 × $5 = $150. From that moment, $150 is the yardstick for everything this trade does.

Suppose the trade above closes at 1.2800, 60 pips in profit: +$300 against $150 of risk is +2R. If price had fallen to the stop instead, −$150 is exactly −1R. And if a Monday gap had opened the market at 1.2698, the stop would have filled 42 pips from entry — a −$210 loss, or −1.4R.

Dollar results entangle two things: how well the trade went, and how big it happened to be. Position sizes change by design as a balance grows or shrinks, pip values differ between symbols, and a position on gold has nothing dimensionally in common with one on USD/JPY. Dividing each result by its own risk strips all of that out: $400 won on a $200 risk is +2R, and so is $40 won on a $20 risk — the same quality of trade at a twentieth of the size.

Ranked by money, the EUR/USD trade is the star — it banked the most dollars. In R it is the weakest winner of the two: it needed more than six times the GBP/USD trade’s risk to earn less than twice its profit. The losers show the same effect in reverse: the gold trade lost less money than the USD/JPY trade but was the better-behaved of the two, a clean −1R against an overrun −1.4R. Sorting a history by dollar P/L quietly rewards size; sorting by R rewards execution.

Because every trade now shares a unit, a run of trades can simply be added up — and the sum reads the same at any account size.

Dividing the sum by the number of trades — here +1.5R ÷ 6 = +0.25R per trade — gives expectancy in risk units: the average earned per unit risked. How that average decomposes into win rate and payoff, and what it can and cannot project forward, is the subject of the expectancy guide; the free Trading Expectancy Calculator lets you vary the inputs.

Once every closed trade carries an R value, a journal can plot the distribution of R outcomes — and the shape says more than any single average. Sixty trades from one strategy might bucket like this:

The tall bar around −1R is the plan doing its job. The bar that deserves attention is the small one on the far left: three trades that together gave back about −5.4R — roughly the combined profit of two of the six best winners. Outliers beyond −1.5R have only two causes worth distinguishing: market structure (gaps and news slippage that no stop order can prevent) and broken discipline (a stop moved, removed or ignored). The first is a cost to budget for; the second is fixable.

• Do losses cluster tightly around −1R, or does the left tail leak past it month after month?
• What do the trades beyond −1.5R have in common — one symbol, one session, news releases, or an edited stop?
• Are winners reaching the multiple the plan was designed around, or being cut to +0.6R by hand?
• Is the average R stable across periods, or carried entirely by one or two outlier wins?

These questions are answerable from any record that stores each trade’s entry, initial stop and net result — which is exactly what a journal built on your own MetaTrader account history contains.

The R-multiple inherits all of its meaning from the initial stop. A trade opened without one has no defined 1R, and any R assigned to it afterwards is reverse-engineered fiction. The unit also breaks in subtler ways:

• A widened stop must not reset the denominator. If a stop is moved further away mid-trade and then hit, the loss should be recorded against the original 1R — say −1.8R. Recomputing 1R from the new, wider stop makes the same trade look like a tidy −1R, and the discipline failure vanishes from the data.
• Tightening is fine.Trailing a stop or moving it towards breakeven changes the trade’s possible outcomes, not its unit — a trailed trade that closes flat is roughly 0R against the same denominator.
• Costs belong inside the result. A trade that touches its +2R target can still net +1.9R once commission and swap are subtracted. Computing R from raw price distances overstates every outcome slightly.

How initial stops and targets are placed, and what moving them does to a trade, is a topic of its own — covered in the stop loss and take profit guide. For R-multiples the requirement is narrower: a real exit level at entry, and the discipline to keep the denominator fixed afterwards.