Trade R Multiple Calculator
Calculate the R-multiple of any trade from entry, stop loss, and exit for performance tracking.
Reviewed by Daniel Agrici, Founder & Lead Developer
Formula
R-Multiple = (Exit - Entry) / (Entry - Stop Loss) for long trades
The R-multiple measures trade performance as a multiple of initial risk (R). For long trades, divide the profit distance by the risk distance. For short trades, the numerator and denominator are inverted. A 2R trade earned twice the initial risk.
Worked Examples
Example 1: Long Trade EUR/USD with 2R Win
Problem:A trader enters long EUR/USD at 1.1050 with a stop loss at 1.1000 (50 pips risk). The trade exits at 1.1150 (100 pips profit). Position size is 10,000 units on a $100,000 account.
Solution:Risk (1R) = Entry - Stop = 1.1050 - 1.1000 = 0.0050 (50 pips)\nProfit = Exit - Entry = 1.1150 - 1.1050 = 0.0100 (100 pips)\nR-Multiple = Profit / Risk = 0.0100 / 0.0050 = 2.0R\nRisk in dollars = 0.0050 x 10,000 = $50\nProfit in dollars = 0.0100 x 10,000 = $100\nAccount risk = $50 / $100,000 = 0.05%
Result:R-Multiple: 2.0R | Risk: $50 (0.05%) | Profit: $100 | Grade: Good
Example 2: Short Trade with Partial Loss
Problem:A trader shorts GBP/USD at 1.2700 with stop at 1.2750. The trade is closed at 1.2720 for a -0.4R loss. Position size is 50,000 units.
Solution:Risk (1R) = Stop - Entry = 1.2750 - 1.2700 = 0.0050 (50 pips)\nResult = Entry - Exit = 1.2700 - 1.2720 = -0.0020 (20 pips loss)\nR-Multiple = -0.0020 / 0.0050 = -0.4R\nRisk in dollars = 0.0050 x 50,000 = $250\nLoss in dollars = 0.0020 x 50,000 = $100\nTrader cut the loss early, saving 60% of the full risk
Result:R-Multiple: -0.4R | Planned Risk: $250 | Actual Loss: $100 | Smart exit
Frequently Asked Questions
What is an R-multiple and why is it important for trading performance?
An R-multiple is a standardized way to measure trade performance by expressing profit or loss as a multiple of the initial risk (R) taken on that trade. If you risk $100 on a trade and make $250, your R-multiple is 2.5R. If you lose $100, it is -1R. This concept was popularized by Dr. Van Tharp in his book Trade Your Way to Financial Freedom. R-multiples are important because they normalize trade results regardless of position size, allowing you to compare trades across different instruments, account sizes, and time periods. They also reveal the true quality of your trading edge by separating trade selection skill from position sizing decisions.
How do I calculate the R-multiple of a trade?
To calculate an R-multiple, first determine your initial risk (1R) which is the distance from your entry price to your stop loss multiplied by your position size. Then calculate your actual profit or loss on the trade. Finally, divide the profit or loss by the initial risk. For a long trade: R-multiple = (Exit Price - Entry Price) / (Entry Price - Stop Loss). For a short trade: R-multiple = (Entry Price - Exit Price) / (Stop Loss - Entry Price). A positive R-multiple means the trade was profitable, while a negative R-multiple indicates a loss. The maximum loss on a properly managed trade should be -1R, though slippage can occasionally cause losses slightly larger than -1R.
What is a good R-multiple to aim for on each trade?
Most professional traders aim for a minimum R-multiple of 2R on each trade, meaning they seek profits at least twice their risk. This is often expressed as a 1:2 risk-reward ratio. With 2R average winners, a trader only needs to win 34% of their trades to break even. The ideal R-multiple target depends on your trading style and win rate. Scalpers might target 1R to 1.5R with a higher win rate, while swing traders often aim for 3R to 5R with lower win rates. Day traders typically fall in the 1.5R to 3R range. The key insight is that R-multiple and win rate are inversely related, and the combination of both determines overall profitability through a metric called expectancy.
How does R-multiple relate to trading expectancy?
Trading expectancy is the average R-multiple across all your trades and represents how much you expect to make per unit of risk over many trades. It is calculated as: Expectancy = (Win Rate x Average Win in R) - (Loss Rate x Average Loss in R). For example, if you win 45% of trades with an average win of 2.5R and lose 55% at an average of -1R, your expectancy is (0.45 x 2.5) - (0.55 x 1) = 1.125 - 0.55 = 0.575R. This means for every dollar risked, you expect to make $0.575 on average over many trades. A positive expectancy is essential for long-term profitability. Even a small positive expectancy compounds into significant returns when combined with proper position sizing and a sufficient number of trades.
References
Reviewed by Daniel Agrici, Founder & Lead Developer · Editorial policy