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Risk/Reward Ratio Calculator

Enter your entry, stop and target to get your risk/reward ratio, the risk and reward in pips and dollars, and the exact win rate you need to break even — across forex, indices, gold and crypto.

Reward : Risk
1 : 2
You risk 1 to make 2.00.
Break-even win rate
33.3%
Risk
50 points
Reward
100 points
Direction
Long ▲
Risk amount
$100.00
Potential reward
$200.00

A good R:R is worthless without a real win rate.

Backtest your setup candle by candle and find your actual edge — free sample, no card.

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How the reward to risk is worked out

Break-even win rate = 1 ÷ (1 + 3) = 25%. The calculator runs this for your own numbers, instrument by instrument, as you type.

Reward3R
÷
Risk1R
Reward : risk3 : 1

Judging a ratio without its win rate

A 1:3 setup that wins 20% of the time loses money; the same setup winning 30% makes it. The ratio only means something next to the win rate it needs.

How to calculate risk/reward

Risk/reward compares what you stand to lose against what you stand to make on a single trade. Two distances decide it:

  • Risk — the distance from your entry to your stop-loss.
  • Reward — the distance from your entry to your take-profit.

Divide the reward by the risk and you have your ratio. A stop 20 pips away and a target 60 pips away is a 1:3— you're risking 1 to make 3. The calculator measures both distances in your instrument's pips or points and does the division for you, so it works the same on EURUSD as it does on NAS100 or gold.

Why risk/reward matters — and the break-even win rate

The ratio is only half the picture. The number that actually decides whether you make money is the win rate it demands. At 1:1 you need to win more than half your trades just to break even. At 1:2 that drops to 33%. At 1:3, just 25%. That's the real power of a high reward-to-risk — it lets you be wrong more often than you're right and still come out ahead. The calculator shows the break-even win rate for every ratio, so you always know the number you're trying to beat.

The trap is chasing ratios you can't actually hit. A 1:10 target that never fills isn't an edge — it's a wish. A realistic 1:2 you complete consistently beats a fantasy 1:5 that stops you out on the way. The only way to know your real win rate at a given ratio is to test the setup on real history.

Break-even win rate for every ratio

The formula is 1 / (1 + R), where R is the reward multiple. This is the number your strategy has to beat — not a target, a floor.

Risk / rewardBreak-even win rate
1:0.566.7%Needs two wins in three just to stand still.
1:150.0%The coin-flip line.
1:1.540.0%Realistic for many intraday setups.
1:233.3%The most commonly quoted target.
1:2.528.6%
1:325.0%Wrong three times in four and still flat.
1:420.0%
1:516.7%Achievable win rates here are often lower than this.

Those are clean numbers with no costs in them. Spread and commission are a fixed charge against a variable reward, so they punish tight stops hardest — a 10-pip stop carrying a 1.5-pip round-trip cost is really 11.5 pips of risk against a 15-pip reward, a 1:1.3 rather than the 1:1.5 you planned. Add your own costs before you trust any of these thresholds.

Why a higher ratio is not automatically better

This is the part the ratio hides, and it is worth being blunt about: win rate and reward:risk move against each other. Push a target further away and price reaches it less often. You cannot improve one without paying in the other, so "improving your R:R" by widening targets is not an improvement at all — it is a trade, and it can easily be a losing one.

Two setups, same market, same entries — only the target moved:

  • Target at 1.5R: hits 55% of the time. Expectancy = (0.55 × 1.5) − 0.45 = +0.375R per trade.
  • Target at 5R: hits 12% of the time. Expectancy = (0.12 × 5) − 0.88 = −0.28R per trade.

The second one has the ratio every trading course tells you to want, and it loses money. The ratio on its own is not a metric. It is one half of a pair, and it is meaningless without the other half beside it.

Expectancy: the number the ratio is standing in for

What you actually want is expectancy — the average result per trade, in R:

Expectancy = (win rate × reward) − (loss rate × 1)

A 40% win rate at 1:2 gives (0.40 × 2) − (0.60 × 1) = +0.20R per trade. Over 200 trades at 1% risk that is roughly 40% of the account, before compounding — and it is a perfectly ordinary edge, not a spectacular one.

Expectancy is the better metric precisely because it collapses both halves into one number, so you cannot flatter yourself by optimising the ratio while the win rate quietly collapses. The catch is that a measured expectancy is an estimate with error bars around it, and a small sample can show +0.2R when the truth is negative. The backtest sample size calculator puts a confidence interval on it and tells you how many trades you need before the result means anything.

And expectancy still only describes the destination. A high-reward, low-win-rate profile — which is what a good ratio usually buys you — comes with longer losing streaks than a 50/50 model, and those streaks arrive before the profits do. The risk of ruin calculator takes the same two inputs and answers the other half: at this win rate and this ratio, what position size still has an account left when the edge finally pays?

Where the stop goes decides the ratio

A common way to manufacture a flattering ratio is to tighten the stop until the numbers look good. It works on the spreadsheet and fails on the chart, because a stop that sits inside normal noise gets hit by noise.

The stop belongs at the price that says the idea was wrong — below the sweep, beyond the invalidation level, wherever your rules put it. That distance is an input you do not get to choose. What you choose afterwards is the size, so that the loss at that stop is the amount you intended to risk. The position size calculator does that inversion; the pip calculator converts the distance into money if you want to see it in cash rather than R.

And take the ratio the chart offers rather than imposing one. If the nearest opposing level is at 1.7R, a mechanical 1:3 target is asking price to travel straight through it. Use your minimum ratio as a filter for skipping trades, not as a target you force onto every chart.

Planned R:R and realised R:R are different numbers

Almost nobody measures the gap, and it is usually where the edge goes. Your planned ratio is what you set at entry. Your realised ratio is what you actually collected after moving a stop to break-even, taking something off at 1R, or closing early because it looked shaky.

A journal of 1:3 setups that were consistently closed near 1.4R is a 1:1.4 strategy with a 1:3 story attached — and every break-even win rate on this page is being computed against the wrong number. Log both (what to log in a trading journal covers the fields), and if they diverge, the fix is usually the exit rules rather than the entry.

Frequently asked questions

What is a good risk/reward ratio?

Most traders aim for at least 1:2 — a target twice as far as the stop. But a "good" ratio depends on your win rate: a 1:1 works if you win often, a 1:3 works even if you're right only a third of the time. What matters is that your win rate beats the break-even rate for your ratio.

How do I calculate risk/reward?

Divide the distance from your entry to your take-profit (the reward) by the distance from your entry to your stop-loss (the risk). If your risk is 25 pips and your reward is 75 pips, that's a 1:3 ratio.

What win rate do I need for a 1:2 risk/reward?

33.3%. At 1:2 you make twice what you risk, so winning a third of your trades breaks you even — anything above that is profit. The calculator shows the break-even win rate for any ratio you enter.

What win rate do I need for 1:3?

25%. The formula is 1 / (1 + R), where R is the reward multiple — so 1:1 needs 50%, 1:2 needs 33.3%, 1:3 needs 25%, 1:4 needs 20% and 1:5 needs 16.7%. Those are break-even numbers with no costs included; spread, commission and slippage push the real bar a little higher.

Is a higher risk/reward ratio always better?

No, and this is the most common mistake with R:R. Win rate and reward:risk move against each other — pushing a target further away means price reaches it less often. A 1:5 that fills 12% of the time loses money, while a 1:1.5 that fills 55% of the time makes it. The ratio is only meaningful next to the win rate it actually achieves, which is why the pair has to be measured on a real sample rather than chosen.

What is expectancy, and why does it beat R:R as a metric?

Expectancy is the average result per trade in R: (win rate x reward) - (loss rate x 1). At 40% and 1:2 that is (0.40 x 2) - (0.60 x 1) = +0.20R per trade. It is the better metric because it collapses win rate and reward:risk into one number, which stops you optimising one at the expense of the other — the exact failure that makes a high R:R feel like progress while the account goes nowhere.

Should I use a fixed risk/reward ratio on every trade?

A fixed minimum is a useful filter — it stops you taking trades whose target is closer than their stop. A fixed target is different and usually worse, because it ignores structure. If the nearest opposing level sits at 1.7R, a mechanical 1:3 target is asking price to pass through it. Take the ratio the chart offers, and skip the trade when that ratio is below your minimum.

Do costs change the break-even win rate?

Yes, and more than people expect on short stops. Spread and commission are a fixed cost against a variable reward, so they hurt tight stops disproportionately. A 10-pip stop with a 1.5-pip round-trip cost is really a 11.5-pip risk against a 15-pip reward — a 1:1.3, not the 1:1.5 you planned. Include your actual costs when you measure, or your backtested edge is larger than your live one.

Is the risk/reward calculator free?

Yes — completely free, no signup, no limits, and it runs entirely in your browser.

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