Risk-Reward Ratio: How to Calculate It and What It Actually Tells You

The risk-reward ratio compares what a trade can lose against what it can make. Divide the distance from your entry to your stop by the distance from your entry to your target: risking 20 pips to make 40 is a ratio of 1:2. Most platforms show it before you place the order.

On its own, the risk reward ratio tells you nothing about whether the trade is worth taking. A 1:5 ratio can belong to a losing strategy and a 1:1 ratio to a profitable one. What separates them is arithmetic that most traders never do.

How to Calculate the Risk-Reward Ratio

Two distances, one division. Take your entry price, your stop price and your target price, then divide the risk distance by the reward distance.

Say EUR/USD is trading at 1.1001. You buy, put your stop at 1.0981 and your target at 1.1041. The risk is 20 pips, the reward is 40 pips, and the ratio is 1:2. Every 1 you’re prepared to lose is matched against 2 you’re trying to make.

Position size doesn’t enter the calculation, which is why the ratio survives being compared across instruments. A gold trade risking $30 to make $90 and a Bitcoin trade risking $300 to make $900 are the same 1:3 trade, expressed in different money.

That portability is the ratio’s whole value. It is also why it gets over-trusted.

Why a Good Ratio Still Loses Money

A risk-reward ratio has no meaning until you attach a win rate to it. The two numbers are a pair, and either one alone is decoration.

Every ratio has a win rate below which it loses money. The formula is short: divide the risk by the sum of risk and reward. At 1:1 you need to win 50% of the time to break even. At 1:2, 33.3%. At 1:3, 25%. Flip it around and a 2:1 trade, risking two to make one, needs a 66.7% win rate before it makes a cent.

Now put money on it. Risk $100 per trade over 100 trades:

• Win 35% at 1:2, and you finish $500 up. The arithmetic is 35 wins of $200 against 65 losses of $100.
• Win 20% at 1:3, and you finish $2,000 down, despite a ratio that looks conservative on paper.
• Win 45% at 1:1, and you finish $1,000 down, despite winning nearly half your trades.

The middle case is the one that catches people. Chasing higher ratios pushes targets further from entry, and targets further from entry get hit less often. Move your target from 1:2 to 1:4 and the trade needs only a 20% win rate to break even, but you have also just built a strategy that misses four times out of five. If the new target drops your hit rate below that line, the better-looking ratio made you poorer.

So the useful question is never “is this a good ratio.” It’s whether this ratio and your actual hit rate, measured over a few hundred trades rather than remembered from the good ones, sit on the profitable side of that division.

The Ratio on Your Chart Is Not the Ratio in Your Account

Here’s the part that almost no risk reward ratio explainer mentions, and it decides whether short-horizon strategies work at all.

You draw stop and target on a chart. The chart plots one price. Your account transacts on two: you buy at the ask and sell at the bid, and the gap between them is the spread. So the ratio you measured off the chart and the ratio your fills produce are different numbers.

Back to the EUR/USD trade. The chart shows 1.1001, so you mark the stop at 1.0981 and the target at 1.1041 and read off 1:2. Say the quote is 1.1001 bid, 1.1002 ask. You buy at 1.1002.

Now count what actually happens. If price falls to your stop you sell at 1.0981, losing 21 pips, not 20. If price runs to your target you sell at 1.1041, gaining 39 pips, not 40. Your 1:2 is a 1:1.86, and the win rate you need has moved from 33.3% to 35%.

One pip. That is the entire cost, and on a 60-pip trade it barely registers.

Then shorten the trade. The spread is a fixed toll and it does not shrink when your targets do, so the same 1:2 plan degrades fast as the distances come in. Assume one pip of spread throughout:

• Stop 20, target 40. Realized 21 against 39, a 1:1.86. Breakeven win rate 35%.
• Stop 10, target 20. Realized 11 against 19, a 1:1.73. Breakeven win rate 36.7%.
• Stop 5, target 10. Realized 6 against 9, a 1:1.5. Breakeven win rate 40%.

At the top of that list the spread costs you 7% of your reward. At the bottom it costs 25%. Widen the spread to two pips, which happens routinely at the session open, on thin instruments and around scheduled news, and the five-pip scalp becomes 7 against 8. That is a 1:1.14 needing a 46.7% win rate, from a plan you wrote down as 1:2 needing 33.3%. 43% of the reward is gone before the market moves.

This is the real reason spread matters more to scalpers than to swing traders, and it is why a strategy that backtests well on mid prices can lose money live. Add commission or overnight swap where the account charges them, and the gap between planned and realized widens again.

Two habits fix most of this. Measure your stop and target from the price you will actually transact at, not from the line on the chart. And set a minimum trade distance below which the toll is too large a share of the reward to bother.

Three Ways Traders Break Their Own Ratio

The arithmetic above assumes the stop and target you planned are the ones the trade gets. Usually they aren’t.

Tightening the stop to manufacture a better ratio. You want 1:3 but the setup only offers 1:1.5, so you move the stop closer to entry. The ratio on screen improves and the trade gets worse, because the stop is now inside normal noise for that instrument and gets taken out by moves that mean nothing. A stop belongs where the trade idea is proven wrong. If that distance won’t produce an acceptable ratio, the trade is the problem, not the stop.

Stretching the target to justify the entry. The mirror image, and harder to notice because nothing about it feels like a compromise. A target beyond the next obvious level is a target that gets approached and rejected.

Moving the stop while losing. This one converts a planned 1:2 into a realized 1:5 against you in a single decision, and it is the most common way an otherwise sound method produces a large drawdown. The ratio is only a constraint if it binds after you’re in the trade.

Worth noting alongside these: your stop is a price, not a promise. When the market gaps or liquidity thins, the fill comes in worse than the level, and that slippage lands on the risk side of the ratio, never the reward side.

Set the Stop First, Then Read the Ratio

Everything above points the same way: the ratio is an output, not an input. You get it by measuring, and the order of operations matters.

Start with the stop, and put it at the price that would tell you the trade idea was wrong. On a breakout that’s back inside the range. On a trend pullback it’s beyond the swing low that defined the pullback. Then check that distance against how far the instrument routinely travels, which is what average true range measures. A stop well inside a single day’s ATR on a daily-timeframe trade is not a stop, it’s a donation.

Only then look at the target, and place it at the next level price actually has to clear rather than at whatever distance makes the arithmetic look good. Divide, and whatever number comes out is your risk reward ratio for that trade. If it’s below the breakeven line your hit rate can clear, the answer is to pass on the trade. There is no third option that involves adjusting the levels until the ratio cooperates.

This is also the only version of the process that produces a hit rate worth measuring. Stops placed at real invalidation levels give you a win rate that means something across trades; stops placed to hit a target ratio give you a different experiment every time and a number you can’t use.

What Counts as a Good Risk-Reward Ratio?

Anything above 1:1 can work, and anything can fail. The honest answer is that a ratio is good when your measured win rate clears the breakeven line it implies, with enough margin left to pay the spread.

Holding time narrows it further. Intraday trades that live inside a few pips of range need the reward far enough out to clear the toll, which in practice means 1:1.5 or wider. Swing trades that run for days can carry higher ratios because the distances make the spread trivial, and they need to, because there are fewer of them and each one waits longer for resolution.

The constraint people underestimate is not the money. It’s the sequence. Low win rates are a mathematical consequence of high ratios, and low win rates produce long losing streaks that feel like a broken strategy while it is working exactly as designed. Run the numbers over 100 trades and assume the outcomes are independent:

• At a 50% win rate, the chance of hitting a run of six or more consecutive losses is about 55%.
• At 35%, the chance of a run of eight or more is about 69%.
• At 25%, which is the breakeven rate for a 1:3 strategy, the chance of a run of ten or more is about 79%, and there is still a better-than-even chance of a run of twelve.

So the trader running 1:3 should expect ten straight losses in a normal hundred trades. Whether the strategy survives that has nothing to do with the ratio and everything to do with how much was risked on each one and whether the twelfth loss still gets taken by the rules.

The ratio is the easiest number in trading to calculate and the easiest to fake. You can show 1:5 on every trade you take by putting the stop somewhere it is certain to be hit. The market will supply the win rate.

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