The risk-reward ratio (R:R) compares what a trade can gain at its target with what it loses at its stop: R:R = (target − entry) ÷ (entry − stop). A 2:1 trade risks $100 to make $200. The break-even win rate is 1 ÷ (1 + R:R), so 2:1 needs to win about 33% of the time, before costs.
That formula is the whole tool. Using it well means pairing it with a realistic win rate, an honest stop and a target the chart actually supports.
How to calculate risk-reward
For a long trade
- Risk = entry − stop
- Reward = target − entry
- R:R = reward ÷ risk
Example: buy a stock at $50, stop at $48, target at $56. Risk = $2, reward = $6, R:R = 3:1.
For a short trade
Flip the signs: risk = stop − entry, reward = entry − target.
Example: short GBP/USD at 1.2700, stop 1.2740, target 1.2620. Risk = 40 pips, reward = 80 pips, R:R = 2:1.
The risk/reward calculator does both directions and shows the break-even win rate.
The break-even win rate table
If every loser costs 1R and every winner earns R:R × R, you break even when:
win rate × R:R = (1 − win rate) × 1 → win rate = 1 ÷ (1 + R:R)
| R:R | Break-even win rate | Wins needed out of 10 |
|---|---|---|
| 0.5:1 | 66.7% | 7 |
| 1:1 | 50.0% | 5 |
| 1.5:1 | 40.0% | 4 |
| 2:1 | 33.3% | 4 (3.33) |
| 2.5:1 | 28.6% | 3 (2.86) |
| 3:1 | 25.0% | 3 (2.5) |
| 4:1 | 20.0% | 2 |
| 5:1 | 16.7% | 2 (1.67) |
“Wins needed out of 10” is rounded up—the minimum whole number of winners to not lose money over ten trades (5 wins at 1:1 is exactly flat).
Expectancy: the number that actually matters
R:R alone tells you nothing about profitability. Combine it with win rate:
Expectancy (in R) = win rate × R:R − (1 − win rate) × 1
| Win rate | R:R | Expectancy per trade |
|---|---|---|
| 60% | 1:1 | +0.20R |
| 40% | 2:1 | +0.20R |
| 30% | 3:1 | +0.20R |
| 25% | 3:1 | 0.00R |
| 35% | 1.5:1 | −0.13R |
Three very different traders can have the same expectancy. With $100 risked per trade, +0.20R means +$20 per trade on average—over many trades, not on each one.
The last row is the trap: a 1.5:1 ratio looks respectable, but at 35% it loses money.
Win rate vs R:R: the trade-off by style
Win rate and R:R pull against each other. Wider targets get hit less often; closer targets get hit more often but pay less. Different trading styles tend to land in different zones:
| Style | Typical R:R | Typical win rate needed | Character |
|---|---|---|---|
| Mean reversion / range trading | 0.8–1.5 | 45–55% | Frequent small wins, losses hurt |
| Swing trading with structure | 1.5–3 | 30–45% | Balanced |
| Trend following / breakouts | 3–10 | 15–35% | Long losing streaks, rare big wins |
None of these is better. The question is which one you can execute consistently—and which one your temperament can sit through. A trend follower with a 25% win rate will regularly see eight or ten losses in a row. If that would make you abandon the method, the high-R:R style is the wrong one for you, however good it looks on paper.
Tracking results in R
Expressing results in R (multiples of the amount risked) removes position size from the picture and lets you compare trades honestly.
Example: ten trades, each risking 1R.
| Trade | Result |
|---|---|
| 1–3 | −1R, −1R, +2.1R |
| 4–6 | −1R, +1.8R, −1R |
| 7–10 | −0.4R (early exit), +3.4R, −1R, −1R |
Total: +0.9R over ten trades; win rate 30%; average winner 2.43R; average loser 0.91R. On $100 per R, that’s +$90, but the R figures are what tell you whether the method holds up as your account grows or shrinks. Ten trades prove nothing statistically—keep counting. The trading journal guide shows how to organize this.
Why a high R:R can be an illusion
Anyone can type a 10:1 target. The question is whether price is likely to get there before hitting the stop.
- Targets beyond major resistance. If a level that has rejected price three times sits between entry and target, your real-world R:R is the distance to that level, not the target.
- Stops inside the noise. A stop 0.3 ATR away makes the ratio look huge and gets hit constantly. Win rate collapses and expectancy with it. See ATR explained.
- Ignoring costs. Spread, fees and slippage hit both sides.
Costs shift the break-even
Risk $100 for a $200 target (2:1), with $10 round-trip costs. A winner nets $190, a loser costs $110. Effective R:R = 190 ÷ 110 ≈ 1.73, so break-even = 1 ÷ 2.73 ≈ 36.7%, not 33.3%. On tight-stop, short-timeframe trades, costs can consume a large share of the edge.
Setting targets the chart supports
A target should come from structure, not from a ratio you want.
- Next opposing level: the nearest resistance for a long, the nearest support for a short. See support and resistance.
- Measured move: the height of a pattern projected from the breakout. An ascending triangle 8 points tall breaking at $100 projects to $108; a bull flag projects the flagpole.
- Fibonacci extensions: 1.272 and 1.618 of the prior swing, a common reference. The Fibonacci calculator gives the levels.
Then compute R:R from the honest target. If it’s below what your win rate requires, the correct move is often to skip the trade, not to stretch the target.
Partial exits and trailing stops
Many traders take part of the position off at 1R or the first level, and trail the rest. This changes the math: the blended R:R falls, but win rate usually rises. Example: half off at 1R, half at 3R gives an average winner of 2R. Whether that helps depends on your data—track it in your journal.
Worked example: does this trade make sense?
A 4-hour chart of SOL shows a falling wedge with a breakout candidate.
- Entry: $150
- Stop: $144 (below the wedge’s last low) → risk $6
- First resistance: $162 → reward $12
- R:R: 2:1, break-even 33.3%
Your journal says wedge breakouts in your trading have won about 45% of the time, with average costs of 0.1R. Expectancy ≈ 0.45 × 2 − 0.55 × 1 − 0.1 = +0.25R. Positive on paper, with a margin of safety above break-even.
Now size it: a $10,000 account risking 1% = $100 → $100 ÷ $6 ≈ 16.6 SOL. (See the position sizing guide.)
If the first resistance had been at $153 instead, R:R would be 0.5:1, needing 66.7%—a pass.
Common R:R mistakes
- Computing R:R from the entry you hoped for, not the one you got. Slippage on entry shrinks the reward and widens the risk.
- Moving the target further away mid-trade to “let it run” without a rule. That changes the setup you measured.
- Comparing R:R across timeframes. A 3:1 trade on the 5-minute chart and a 3:1 trade on the daily have very different costs and win rates.
- Forgetting that the stop defines R. Widen the stop and the same target becomes a worse ratio—and a smaller position.
R:R in a scan
When SnapPulse reads a chart, it returns an entry zone, an invalidation level, a target and the resulting risk/reward, alongside a 1–10 risk score. Treat the ratio the same way as your own: check whether a level sits between entry and target, and whether the stop clears normal volatility. The Steelman card’s falsification triggers are a quick way to see what would make that target unrealistic.
Key takeaways
- R:R = reward ÷ risk; break-even win rate = 1 ÷ (1 + R:R).
- A ratio means nothing without a realistic win rate. Expectancy is the real test.
- Targets come from structure; stops come from invalidation, buffered for volatility.
- Costs raise the break-even, especially on tight stops.
- Keep records. Your own win rate per setup is the number no article can give you.
Educational content — not financial advice.
