# R-Multiple

> An R-multiple expresses a trade's profit or loss as a multiple of the risk you took. Learn how to calculate R, why pros think in R, and how to use it.

Canonical: https://www.journalx.io/glossary/r-multiple

**R-multiple** is a way of measuring a trade's result in units of risk instead of dollars. The R stands for risk: the amount you put on the line when you entered, measured as the distance from your entry to your stop-loss. That initial risk is 1R. If you risk $100 and the trade makes $300, the result is +3R. If it hits your stop and you lose the $100, it is −1R. Expressing every trade in R lets you compare a tiny position and a large one on exactly the same scale.

## How R-Multiples Work

Your R is set the moment you enter a trade, by where you place your stop:

> 1R = the dollars you stand to lose if your stop is hit (entry price − stop price, per unit)

From there, every outcome is just a multiple of that risk:

- Stop gets hit: **−1R**
- You exit at twice your risk: **+2R**
- You cut a loser early, at half your risk: **−0.5R**
- You let a winner run to five times your risk: **+5R**

Say you buy a stock at $50 with a stop at $48. Your risk is $2 per share, so 1R = $2. If you sell at $56, you made $6 per share, which is +3R. The dollar size depends on how many shares you traded, but the R-multiple, +3R, is the same whether you bought 10 shares or 10,000.

![An R-multiple ladder showing the stop at minus 1R, the entry at 0R, and targets at plus 1R, plus 2R, and plus 3R, where one R equals the entry-to-stop risk](https://assets.journalx.io/marketing/glossary/r-multiple/r-multiple-ladder.avif)

## Why Traders Think in R

Measuring results in R, rather than dollars, does three useful things:

- **It standardizes every trade.** A +2R day trade and a +2R swing trade are comparable, even if one risked $50 and the other $5,000.
- **It takes the emotion out of the number.** Thinking in R keeps you focused on process and risk rather than the dollar swing, which is where discipline tends to break.
- **It makes your edge measurable.** Average your R-multiples across many trades and you get your [expectancy](/glossary/expectancy) in R, the cleanest single measure of whether a strategy has an edge.

## How to Calculate Your R-Multiple

To get the R-multiple of a closed trade, divide its profit or loss by the amount you originally risked:

> R-Multiple = Trade Profit or Loss ÷ Initial Risk (1R)

If your initial risk was $200 and you made $500, that is $500 ÷ $200 = +2.5R. If you lost $150 against a $200 risk, that is −$150 ÷ $200 = −0.75R, meaning you got out before your full stop. The one rule that keeps R honest: fix your 1R at entry, and do not redefine it afterward.

## R-Multiples and Expectancy

R is the unit that makes expectancy portable across setups and account sizes. If your average winner is +2R, your average loser is −1R, and you win 40% of the time, your expectancy is (0.40 × 2) − (0.60 × 1) = +0.2R per trade. You expect to earn a fifth of your risk on every trade, on average. A trader who only knows their dollar P\&L cannot compare setups this cleanly, because the dollar amounts hide the risk behind them.

Your reward-to-risk ratio is the plan: how many R you are aiming for. Your R-multiple is the outcome: how many R you actually got. Comparing the two, trade after trade, is one of the fastest ways to see whether you let winners run or cut them short.

## Key Takeaways

- R-multiple expresses a trade's result as a multiple of the risk you took, where 1R is your entry-to-stop distance.
- A full stop-out is −1R; a trade that makes twice your risk is +2R, regardless of position size.
- Thinking in R standardizes trades, removes dollar emotion, and lets you measure your edge cleanly.
- Always fix your 1R at entry; moving your stop after the fact corrupts every R-multiple that follows.

## Common Mistakes

The most damaging mistake is trading without a defined stop, which leaves 1R undefined and makes R-multiples impossible to calculate honestly. Close behind is moving your stop wider mid-trade: that quietly increases your real risk, so a −1R on paper becomes a −2R or −3R in reality. Traders also confuse R-multiple with reward-to-risk ratio. Reward-to-risk is your planned target before the trade (a 3:1 plan); R-multiple is the actual result after it (you planned 3:1 but exited at +1.4R).

## How JournalX Tracks R-Multiples

When you set an entry and a stop in JournalX, it captures your 1R and reports every trade's result in R alongside dollars. Because pre-trade planning is built in, you can record the reward-to-risk you intended and compare it to the R-multiple you actually realized, trade by trade. Average those R-multiples by setup and you get your expectancy in R, so you can see which strategies genuinely pay you back more than they risk. Pair it with [win rate](/glossary/win-rate) and [profit factor](/glossary/profit-factor) for the full picture.