Two traders place a hundred trades each. The first wins 60% of the time with a 1:1 risk/reward ratio. The second wins 40% of the time with a 1:3 ratio. Which one is more profitable? The answer is not intuitive — and getting it wrong is the reason most traders spend years chasing higher win rates instead of improving the metric that actually drives their results.
Over 100 trades risking 1R each: the first trader's P&L is +20R (60 wins × 1R − 40 losses × 1R). The second trader's P&L is +60R (40 wins × 3R − 60 losses × 1R). The 40%-winner earns three times as much despite being wrong more often. That is the power of risk/reward — and it is why the ratio, not your win rate, is what you should be optimising.
01 / What Risk/Reward Ratio MeansA precise definition.
Risk/reward ratio compares the amount you stand to lose on a trade with the amount you stand to gain. It is defined entirely by your stop-loss and take-profit levels — not by your hopes or guesses about where price might go.
The ratio is typically written as 1:X, where 1 is your risk unit and X is your reward. A 1:2 ratio means you are risking $1 to make $2. A 1:3 ratio means risking $1 to make $3. Expressed as R-multiples, a 1:2 trade that hits target is a +2R win; the same trade stopped out is a -1R loss.
The ratio is fixed by the structure of the trade. You cannot improve it after you enter — you can only choose trades with acceptable ratios before entering. That is why calculating risk/reward is a pre-trade discipline, not a post-trade review.
02 / Why It Matters More Than Win RateExpectancy is what matters — and risk/reward is the lever you control.
The actual measure of a trading strategy's profitability is not win rate or risk/reward alone — it is expectancy, which combines both:
Expectancy is the average amount you expect to win per trade over a large sample. A positive expectancy means profitable over time. A negative one means the opposite, regardless of how it feels in the short term.
Here is why risk/reward matters more than win rate in practice: it is usually more controllable. Win rate is largely determined by market behaviour — you can only win trades the market gives you. Risk/reward is determined by where you place your stop and target, which are entirely within your control. Improving your ratio is a decision. Improving your win rate requires the market to cooperate.
03 / The Breakeven Win Rate for Every RatioHow often you need to be right.
For any risk/reward ratio, there is a specific win rate above which the strategy is profitable. Below it, you lose money even if you technically win more than half your trades:
| Risk/Reward | Breakeven Win Rate | Win rate to be profitable |
|---|---|---|
| 1 : 0.5 | 67% | Above 67% — extremely demanding |
| 1 : 1 | 50% | Above 50% |
| 1 : 1.5 | 40% | Above 40% |
| 1 : 2 | 34% | Above 34% — achievable for most strategies |
| 1 : 3 | 25% | Above 25% — forgiving, even with modest accuracy |
| 1 : 5 | 17% | Above 17% — trend-following territory |
Notice the asymmetry. A strategy with 1:1 risk/reward needs to be right more than half the time — that is a narrow margin and leaves no room for variance. A strategy with 1:3 only needs to be right 25% of the time, which means you can be wrong three times out of four and still make money.
The shift this creates: Once you internalise that 1:3 trades need only 25% accuracy, losing trades stop feeling like failures. They are an expected cost of the strategy, not evidence that something is broken. Traders who chase 1:1 setups tend to suffer more emotionally because every loss feels significant — at 1:1, three losses in a row actually does mean something.
04 / What Makes a Good Risk/Reward RatioAnd why "higher is better" is an incomplete answer.
Higher ratios look better mathematically but are harder to achieve in practice. A 1:10 trade is theoretically excellent but requires price to move ten times your risk distance in your favour before hitting your stop. Most markets do not move that far in the timeframes most traders operate on, which means high-ratio setups rarely trigger and often stall before reaching target.
The right ratio is a balance between:
- What your strategy can realistically target — higher ratios mean fewer wins. Your market and style need to produce those moves often enough.
- Your psychological tolerance for losing streaks — 1:3 means a 25% win rate is sustainable, but three or four losses in a row will still happen and need to be tolerated without deviation.
- The win rate you can realistically sustain — setting 1:5 targets with a 15% win rate puts you in negative expectancy territory.
For most discretionary traders, the sweet spot is between 1:2 and 1:3. It is forgiving enough to absorb variance, ambitious enough to be meaningfully profitable, and achievable enough to produce consistent trade entries.
05 / Common Risk/Reward MistakesThe four patterns that break even sound strategies.
1. Moving the stop-loss closer. Tightening a stop after entry is the most common way to artificially improve the stated risk/reward on paper — while destroying the actual trade structure. The "improved" ratio is fake, because the stop no longer reflects the trade's real invalidation point.
2. Setting a conservative take-profit to "lock in" a small win. Taking 0.5R profits on a 1:2 setup converts a winning strategy into a losing one over time. The math does not care how good it felt to "not lose" — the expectancy is now negative.
3. Entering without calculating the ratio first. Many traders never explicitly calculate risk/reward before entering. They enter on feel, set a stop "where it makes sense," and pick a target from habit. Without a pre-trade calculation, there is no way to reject bad-ratio trades.
4. Ignoring ratio in favour of "the setup looks great." Conviction about a setup does not change the math. A 1:0.5 trade with an 80%-feeling setup has worse expectancy than a 1:3 trade with a neutral setup — and the feeling is not data.
For a complete breakdown of these and other patterns, see 10 Common Trading Mistakes.
06 / How to Use Risk/Reward in PracticePre-trade discipline and long-term tracking.
At entry: calculate the ratio before every trade. Use our free Risk/Reward Calculator to confirm the math — mental calculation in live markets is error-prone, especially under pressure. Define a minimum acceptable ratio in your trading plan (most traders use 1:2 as a floor) and reject trades below it without exception.
At exit: record the actual R-multiple achieved, not just the dollar outcome. If your target was 1:2 but you exited at 1:1, that is valuable data — it means you left half your expected return on the table. Over time, the distribution of your actual R-multiples reveals whether your edge is holding, whether you are exiting too early, and whether your strategy still works in current market conditions.
In your plan: pair risk/reward discipline with correct position sizing. The two metrics work together — 1% risk per trade combined with 1:2 risk/reward creates a mathematical floor under your drawdown and a ceiling on your upside. Read How to Size Your Positions for the full framework.
07 / Common Questions
What is a risk/reward ratio in trading?
A risk/reward ratio compares how much you stand to lose on a trade with how much you stand to gain. It is defined by the distance from your entry to your stop-loss (risk) and from your entry to your take-profit (reward). A 1:2 ratio means risking $1 to make $2. Outcomes are typically expressed as R-multiples: +2R for a 1:2 target hit, -1R for a stop-loss hit.
What is a good risk/reward ratio?
A good risk/reward ratio depends on your win rate. At 1:1 you need to win more than 50% of trades to be profitable. At 1:2, only 34%. At 1:3, 25% is enough. Most successful discretionary traders target between 1:2 and 1:3 — forgiving enough to absorb variance, ambitious enough to compound meaningfully, and realistic enough to trigger consistently.
Is risk/reward more important than win rate?
Risk/reward and win rate are inversely related — you trade one for the other. What matters is expectancy, which combines both. But risk/reward is generally more controllable than win rate, which is why experienced traders focus on improving it first. You can decide your risk/reward before entering; you cannot decide whether the market cooperates.
How do I calculate risk/reward ratio?
Divide the distance from entry to take-profit by the distance from entry to stop-loss. Example: entry 1.1000, stop 1.0950 (50 pips), target 1.1100 (100 pips). Ratio: 100 ÷ 50 = 2, or 1:2. Use the Risk/Reward Calculator before every trade — mental math in live markets is error-prone.
What is R-multiple in trading?
R-multiple expresses the outcome of a trade in terms of your initial risk. 1R equals the amount you risked. A win hitting a 1:2 target is +2R. A loss hitting your stop is -1R. An early exit at half target is +1R. Using R-multiples rather than dollar amounts lets you compare trades of different sizes fairly — essential for long-term performance analysis.
Why do traders take trades with poor risk/reward?
Traders take poor ratios for predictable reasons: the setup looked "too obvious to miss," they tightened their stop after entry, they took conservative profits to "lock in" a small win, or they never calculated the ratio at all. A pre-trade checklist requiring explicit ratio calculation before entry is the most effective fix — it forces you to confront bad ratios when you can still walk away.