Risk-Reward Ratio: How to Calculate It, the Break-Even Win Rate, and What Counts as Good

The risk-reward ratio compares what you stand to lose on a trade with what you stand to gain, measured from entry to stop-loss and from entry to take-profit. A 1:2 ratio risks one unit to make two. On its own the ratio means little; paired with your win rate it tells you whether a strategy makes money over time.

Most traders learn the risk-reward ratio as a rule: never take a trade below 1:2. The rule is sound as far as it goes, and it is half of a formula. The missing half is the reason traders who follow it still lose. A 1:3 system that wins 20% of the time bleeds money. A 1:1 system that wins 60% of the time compounds steadily. The ratio only becomes useful when you read it alongside your win rate, and that is what this guide is built around.

Whether you trade your own account or a funded account with a prop trading company, the maths is the same. What follows covers how to calculate the ratio properly, the break-even formula that connects it to win rate, what "good" means for different styles of trading, where the numbers should come from on the chart, why the ratio you plan is rarely the ratio you get, and how it decides the number of trades an evaluation takes. It sits under the broader guide to forex risk management, which covers position sizing and the 1% rule that this ratio builds on.

What Is the Risk-Reward Ratio in Trading?

The risk-reward ratio is the amount you risk on a trade divided by the amount you expect to gain, both measured before you enter. Risk is the distance from entry to your stop-loss; reward is the distance from entry to your take-profit. It is written as risk:reward, so 1:2 means one unit at risk for two units of potential gain.

The ratio is a planning number. It exists before the trade, when you know your entry, your stop and your target, and it does not change because the trade goes well or badly. That distinction matters because the value of the ratio comes from being fixed in advance: it forces you to know your exit points before you have any money on the line.

The name is slightly backwards. Because the risk figure comes first, a 1:2 ratio is strictly a risk-to-reward ratio, and some traders write it as a reward-to-risk ratio of 2:1 or "2R" to make the larger number the reward. All three describe the same trade. What matters is that you know which side is the risk when you read a number, because a 2:1 ratio in the risk-first convention means risking two to make one, which is a very different trade.

How Do You Calculate the Risk-Reward Ratio?

Calculate the risk-reward ratio by dividing the distance from entry to stop-loss by the distance from entry to take-profit, then expressing the result with the risk side as 1. On EUR/USD, a buy at 1.0850 with a stop at 1.0820 (30 pips) and a target at 1.0910 (60 pips) gives 30:60, which simplifies to 1:2.

The formula:

Risk-Reward Ratio = (Entry − Stop-Loss) : (Take-Profit − Entry) then divide both sides by the risk figure so the left side reads 1.

A worked example on a long EUR/USD trade:

On a short trade the directions flip but the arithmetic is identical: risk is the distance up to the stop, reward is the distance down to the target. The ratio is also independent of position size. Whether you trade 0.1 lots or 5 lots, 30 pips against 60 pips is 1:2, because both sides scale by the same lot size. Position size decides how many dollars each pip is worth; the ratio decides how the dollars relate to each other.

Many traders find it easier to think in R-multiples, where R is the amount risked. A trade with a 1:2 ratio has a 2R target. A loss is −1R. A trade closed early at half the target is +1R. Expressing results in R makes trades on different pairs and account sizes directly comparable, and it makes the break-even maths in the next section far easier to apply to your own journal.

How Do Risk-Reward Ratio and Win Rate Fit Together?

The risk-reward ratio and win rate are two halves of one equation. The break-even win rate for any ratio is Risk ÷ (Risk + Reward). At 1:1 you must win 50% of trades to break even; at 1:2, 33.3%; at 1:3, 25%. A strategy is profitable only when its actual win rate sits above the break-even rate for its ratio.

This is the formula that turns the ratio from a slogan into a tool:

Break-even win rate = Risk ÷ (Risk + Reward)

Read the table in both directions. A trader running 1:3 who wins 30% of trades is above the 25% break-even and is profitable, despite losing seven trades in ten. A trader running 1:1 who wins 45% is below the 50% break-even and is losing money, despite winning almost half the time. The ratio and the win rate mean nothing separately and everything together.

The formula also explains why the two numbers trade off against each other in practice. A wider target (higher reward) is reached less often, so the win rate falls as the ratio rises. A tighter target is hit more often, so the win rate climbs as the ratio falls. Every strategy sits somewhere on that curve, and the question is never "which ratio is best" but "is my win rate above break-even for the ratio I actually trade". You can only answer that from a journal of at least 50 to 100 trades, because a win rate measured over 10 trades is noise.

What Is a Good Risk-Reward Ratio?

A good risk-reward ratio is one whose break-even win rate sits comfortably below the win rate your strategy achieves, leaving a margin for losing streaks and costs. For most discretionary traders that means 1:1.5 to 1:3. The "never below 1:2" rule is a sound default, yet a 1:1 ratio at a 65% win rate beats a 1:3 ratio at 20%.

The honest answer to "what is a good ratio" is a second number: your expectancy.

Expectancy per trade = (Win rate × Average win) − (Loss rate × Average loss)

In R-multiples with a 1:2 ratio and a 45% win rate: (0.45 × 2R) − (0.55 × 1R) = 0.90R − 0.55R = +0.35R per trade. Over 100 trades that is roughly +35R, and if R is 1% of the account, about +35% before costs. Change the win rate to 30% and the same 1:2 ratio gives (0.60R) − (0.70R) = −0.10R, a losing system with a "good" ratio.

So the 1:2 minimum is a useful default for one reason: most discretionary strategies have win rates between 35% and 55%, and 1:2 is the ratio that makes that range profitable with a margin for error. It is not a law. Scalping strategies routinely run 1:1 or lower with 65% to 75% win rates and make money. Trend-following systems run 1:3 to 1:5 with 30% win rates and make money. Both are "good" because the win rate clears the break-even for the ratio with room to spare.

What you should be suspicious of is a ratio that leaves no margin. A 1:1 system with a 52% win rate is profitable on paper and one bad month away from not being, because spread, slippage and a normal losing streak all eat into the 2% cushion. Aim for a win rate at least 10 percentage points above break-even for your ratio, and treat anything closer as unproven.

Where Should the Stop and Target Come From?

A valid risk-reward ratio comes from the chart. The stop goes where the trade idea is proven wrong, beyond a swing low, swing high or support level, and the target goes at the next level price is likely to reach. If those two points produce a poor ratio, skip the trade rather than moving the stop or the target.

The most common way traders corrupt the ratio is by working backwards from it. They decide a trade must be 1:2, place the stop at the distance that makes the target fit, and end up with a stop inside normal noise that gets hit before the idea has a chance. Or they leave the stop where it belongs and push the target past the level price is actually likely to reach, so the trade turns at the real resistance and comes back through entry.

The stop is set first, at invalidation. On a long trade off support at 1.0820, the idea is wrong if price closes below that support, so the stop sits a little beneath it, beyond the wicks. The distance from entry to that stop is your risk, and it is not negotiable. The forex risk management guide guide covers stop placement and the ATR method for judging how much room a structural stop needs.

The target is set second, at the next structural level: the prior swing high, the top of a range, a measured move, a supply zone. In a range trading setup the target is the opposite side of the range, which is why range trades often have naturally clean ratios. In a trend, the target may be a prior high with a trailing stop to follow price if it continues beyond.

Only then do you calculate the ratio. If the structural stop is 40 pips away and the structural target is 45 pips away, the trade is 1:1.1 and probably not worth taking unless your win rate on this setup is very high. That is useful information. The ratio has done its job by filtering the trade out, which is a better outcome than forcing the numbers to fit.

What Is the Right Risk-Reward Ratio for Each Trading Style?

The right risk-reward ratio depends on holding period and strategy type. Scalpers typically accept 1:1 or lower with high win rates because spreads make wide targets impractical. Day traders commonly target 1:1.5 to 1:2. Swing traders reach 1:2 to 1:3 as targets sit further away. Trend followers run 1:3 or higher with low win rates and occasional very large winners.

Two things follow from the table. First, "best risk-reward ratio for day trading" has a real answer, roughly 1:1.5 to 1:2, and it is lower than most day traders think they should be aiming for. Intraday targets are constrained by how far price moves in a session, and forcing 1:3 targets on a 15-minute chart produces a low win rate without the large winners that make low win rates work.

Second, spread matters more as the timeframe shortens. A 1.0-pip spread on a 5-pip scalping target is 20% of the reward before the trade starts, which is why short-term trading styles need tight spreads and high win rates to survive. The same spread on a 150-pip swing target is under 1%. The ratio you can realistically run is partly decided by your costs.

Why Is the Realised Ratio Lower Than the Planned One?

The ratio you plan and the ratio you achieve are usually different. Spread and slippage widen the effective stop and shorten the effective target. Early exits, moved stops and partial closes all reduce the average win relative to the average loss. Tracking realised R-multiples in a journal shows whether your "1:2 system" is actually running at 1:1.4.

A trader plans a 30-pip stop and a 60-pip target on EUR/USD. The realised version looks like this:

None of these individually looks important. Together they move a 1:2 plan to roughly 1:1.4, which raises the break-even win rate from 33% to 42%. A trader who believed they needed to win one in three now needs to win better than two in five, and if their actual win rate is 38% they have gone from profitable to unprofitable without changing a single setup.

The fix is measurement. Log every trade in R-multiples, using the actual fill prices. After 50 trades you will know your realised average win and average loss, and that is the ratio to plug into the break-even and expectancy formulas. The planned ratio is what you hoped for. The realised ratio is what you have.

Partial closes deserve a specific mention because they feel like risk management and often are not. Banking half at 1R reduces the average win more than it reduces the average loss, so it lowers the effective ratio. It can still be the right choice for psychological reasons or in a trend where the remainder runs with a trailing stop loss, but it should be a deliberate trade-off you have measured, not a habit.

How Does the Risk-Reward Ratio Work in a Prop Firm Evaluation?

In a prop firm evaluation, the risk-reward ratio and risk per trade decide how many trades you need to reach the target and how many losses you can absorb. On Pipcy Classic, an 18% target inside a 12% maximum loss at 1% risk and 1:2 takes about 36 trades at a 50% win rate, with room for 12 straight losses.

An evaluation puts two numbers on the same account: a target to reach and a loss you cannot cross. The ratio connects them. Take Pipcy's Classic One-Step: 18% profit target, 12% static maximum loss, no daily drawdown and no trailing drawdown. Risk 1% per trade at a 1:2 ratio, so each win is +2% and each loss is −1%.

Two things stand out. The loss budget is generous at 1% risk: a run of twelve straight losses at a 50% win rate is roughly a one-in-a-hundred event across a hundred trades, so the evaluation is very unlikely to end on a losing streak if you hold size. And the number of trades to target depends far more on win rate than most traders expect; the difference between 40% and 50% is the difference between 90 trades and 36. That is why most traders fail prop challenges by increasing size to shorten the journey, which shrinks the loss budget from 12 losses to 6 or 4 and turns a near-zero breach probability into a likely one.

The pip-based version works the same way. On the Pips Mastery Challenge, the target is 500 pips (X2) or 750 pips (X3) against a 250-pip maximum loss. Risking 25 pips per trade at 1:2 gives 50-pip wins, ten losses of room, and at a 50% win rate an average of about 40 trades to the X2 target. Because the maximum loss is static rather than trailing, the loss budget does not shrink as you profit, so the ratio you plan on day one is the ratio you can keep running to the end. The full process of getting from evaluation to funded account is in the guide on how to get a funded trading account.

What Are the Most Common Risk-Reward Mistakes?

The most damaging risk-reward mistakes are chasing a high ratio without checking win rate, moving the stop to manufacture a ratio, setting targets beyond realistic structure, judging the ratio without a large enough sample, and ignoring the gap between planned and realised results. Each one makes the ratio look better on paper than it performs in the account.

Chasing the ratio and ignoring the win rate. A trader moves from 1:2 to 1:4 targets because "higher is better" and watches the win rate fall from 45% to 22%. The break-even for 1:4 is 20%, so the margin has gone from 12 points to 2, and the system is now fragile.

Working backwards from the ratio to the stop. Deciding the trade must be 1:2 and tightening the stop until the numbers fit puts the stop inside noise. The ratio looks right and the trade is stopped out before it can work.

Targets at hopeful levels. Placing the target past the obvious resistance because the ratio needed it. Price turns at the real level and the trade round-trips.

Judging on ten trades. A 70% win rate over ten trades is compatible with a true rate anywhere from 40% to 90%. Decisions about the ratio need 50 to 100 trades of data.

Mistaking a good ratio for good risk control. The ratio decides how wins relate to losses. It does not cap how much you lose in a streak; that is position sizing and the account-level limits covered in the guide to reducing drawdown. A 1:3 ratio at 5% risk per trade is still a fast route to a deep hole.

Frequently Asked Questions

What is the risk-reward ratio in trading?

The risk-reward ratio compares the amount you could lose on a trade with the amount you could gain, measured from entry to stop-loss and from entry to take-profit before the trade is placed. It is written risk first, so 1:2 means risking one unit to make two. The ratio is fixed at entry and is independent of position size.

How do you calculate the risk-reward ratio?

Divide the distance from entry to stop-loss by the distance from entry to take-profit, then scale so the risk side reads 1. A buy at 1.0850 with a stop at 1.0820 and a target at 1.0910 risks 30 pips to make 60, which is 30:60 or 1:2. On a short trade the stop sits above entry and the target below, but the calculation is the same.

What is a good risk-reward ratio?

A good ratio is one whose break-even win rate sits at least 10 percentage points below your actual win rate. For most discretionary strategies that means 1:1.5 to 1:3. The common 1:2 minimum is a sound default because it is profitable at win rates above 33%, but a 1:1 ratio with a 65% win rate outperforms a 1:3 ratio with a 20% win rate.

Is a 1:2 risk-reward ratio enough?

A 1:2 ratio is enough if your win rate is comfortably above 33.3%, which is its break-even point. At a 45% win rate it produces an expectancy of about +0.35R per trade, a healthy edge. At 30% it loses money. So 1:2 is sufficient for most strategies that win 40% or more of the time, and insufficient for any strategy that does not, regardless of how the ratio looks.

What win rate do you need for a 1:2 risk-reward ratio?

You need a win rate above 33.3% to break even at 1:2, from the formula Risk ÷ (Risk + Reward) = 1 ÷ 3. In practice aim for 43% or better, because spread, slippage and early exits usually push a planned 1:2 down toward 1:1.5, and the break-even at 1:1.5 is 40%. A journal of realised R-multiples will show your true figure.

What is the best risk-reward ratio for day trading?

For day trading, a ratio of 1:1.5 to 1:2 is realistic, because intraday structure limits how far price travels in a session and forcing wider targets lowers the win rate without producing the large winners that make low win rates work. Scalpers often run 1:1 or lower with 60% to 75% win rates. Swing traders can reach 1:2 to 1:3 as structural targets sit further from entry.

Can a trade have a risk-reward ratio that is too high?

Yes. A very high ratio usually means the target is beyond the level price is likely to reach, so the win rate collapses. A 1:5 ratio breaks even at a 16.7% win rate, but if the target is rarely hit the actual win rate may be lower still. A high ratio is only good when the target sits at a realistic structural level and your journal confirms the win rate clears break-even with a margin.

The risk-reward ratio tells you how your winners relate to your losers, and it only becomes useful when you read it against your win rate. Break-even is Risk ÷ (Risk + Reward). Profit is a win rate above that figure with room for costs and streaks. Set the stop at invalidation and the target at structure, calculate the ratio from those points, and skip the trade if the result is poor rather than bending the levels to fit.

Then measure. The realised ratio in your journal is the only one that pays, and it is almost always lower than the planned one. A trader who knows their true average win, average loss and win rate over a hundred trades knows whether they have an edge. A trader who knows only that they "always aim for 1:2" is guessing, and the account will eventually tell them which.

Written by Vladimir Rybakov, Head of PIPCY Academy, CFTe-certified with 19 years of trading experience.

Fact-checked by Snir Ahiel, former co-founder of The5ers and risk management specialist at Pipcy, with 15+ years trading Forex, Stocks, and Options.

Risk disclosure: Trading involves substantial risk. Pipcy provides simulated trading evaluations for educational and assessment purposes. Simulated performance does not represent real trading results, and becoming a funded trader is not guaranteed. Nothing here is financial or investment advice.