Two traders. Same $10,000 account. Same 100 trades.
Trader A risks $200 to make $100 on every trade (a 1:2 reward-to-risk ratio) and wins 40% of their trades. After 100 trades, Trader A is down $8,000.
Trader B risks $100 to make $200 on every trade (a 2:1 reward-to-risk ratio) and also wins 40% of their trades. After 100 trades, Trader B is up $20,000.
Same win rate. Same account size. Same number of trades. Yet their performance results are completely different. This single metric—risk-reward ratio—separates profitable traders from struggling ones. But how do you calculate, filter, and plan risk-reward systematically in your daily trading?
Quick Answer: What Is Risk-Reward Ratio?
Risk-reward ratio compares how much you plan to make on a trade with how much you are willing to risk. If you risk $100 to target $200, the trade has a 2:1 risk-reward ratio. A good risk-reward ratio does not guarantee profit, but it helps traders judge whether a setup is worth taking when combined with win rate, expectancy, position sizing, and execution quality.
Practice with ChartMini
Replay historical candles and train your trading decisions.
Risk-Reward Ratio Formula
To calculate risk-reward ratio, divide the target reward (distance from entry to target) by the risk amount (distance from entry to stop-loss):
| Component | Formula | Example |
|---|---|---|
| Risk per share | Entry price − stop-loss price | $100 − $95 = $5 |
| Reward per share | Target price − entry price | $110 − $100 = $10 |
| Risk-reward ratio | Reward ÷ risk | $10 ÷ $5 = 2:1 |
Risk-Reward Calculator Example
Here is how you apply the risk-reward calculator to both long and short trades:
Long Trade Calculation
- Determine Entry: You plan to buy ABC stock at $50.00.
- Set Stop-Loss: Based on technical support, you set a stop at $48.00 (Risk = $2.00).
- Set Target: Based on resistance, you set a target at $56.00 (Reward = $6.00).
- Calculate Ratio: Reward ($6.00) ÷ Risk ($2.00) = 3:1 risk-reward ratio.
Short Trade Calculation
- Determine Entry: You plan to short XYZ stock at $100.00.
- Set Stop-Loss: Based on resistance, you set a stop at $103.00 (Risk = $3.00).
- Set Target: Based on support, you set a target at $91.00 (Reward = $9.00).
- Calculate Ratio: Reward ($9.00) ÷ Risk ($3.00) = 3:1 risk-reward ratio.
Always set your stop-loss and target based on technical indicators (like support, resistance, or moving averages) rather than arbitrary profit goals. If the technical setup does not yield a favorable ratio, skip the trade.
Break-Even Win Rate Table
For every risk-reward ratio, there is a corresponding break-even win rate—the minimum rate of winning trades you need to not lose capital:
| Risk-Reward Ratio | Break-Even Win Rate | Meaning |
|---|---|---|
| 1:1 | 50.0% | Need to win half of trades before costs |
| 1.5:1 | 40.0% | Allows lower win rate than 1:1 |
| 2:1 | 33.3% | Common benchmark for many swing setups |
| 3:1 | 25.0% | Lower win rate needed, but setups may be rarer |
| 4:1 | 20.0% | Requires patience and realistic targets |
As the ratio increases, the win rate required to maintain capital decreases. At a 2:1 ratio, you only need to win 34% of your trades to build a profitable equity curve.
Risk-Reward vs Win Rate vs Expectancy
Evaluating risk-reward in isolation is a common error. It must always be combined with win rate to calculate expectancy:
$$\text{Expectancy} = (\text{Win Rate} \times \text{Average Win}) - (\text{Loss Rate} \times \text{Average Loss})$$
Here is how win rate and risk-reward interact to create positive or negative expectancy:
| Win Rate | Average Win | Average Loss | Expectancy | Outcome |
|---|---|---|---|---|
| 60% | $100 | $200 | -$20 per trade | Unprofitable (Negative Expectancy) |
| 40% | $200 | $100 | +$20 per trade | Profitable (Positive Expectancy) |
| 35% | $300 | $100 | +$40 per trade | Highly Profitable (Positive Expectancy) |
| 70% | $100 | $100 | +$40 per trade | Highly Profitable (Positive Expectancy) |
Risk-reward ratio must be evaluated with win rate. A high risk-reward setup with poor execution can still lose money, while a lower risk-reward setup may work if the win rate and costs support it.
Planned vs Actual Risk-Reward
Many traders calculate a strong risk-reward ratio before entry but realize a much weaker ratio after execution due to slippage, early exits, or moved stops.
| Metric | Planned Setup | Actual Execution |
|---|---|---|
| Entry Price | $100.00 | $100.50 (slippage) |
| Stop-Loss Price | $95.00 | $94.50 (slippage) |
| Target / Exit Price | $110.00 | $109.50 (early exit) |
| Risk per Share | $5.00 | $6.00 |
| Reward per Share | $10.00 | $9.00 |
| Realized Ratio | 2:1 | 1.5:1 |
Track both planned and actual risk-reward in your journal. If actual risk-reward is consistently worse than planned, the problem may be slippage, early exits, moved stops, or unrealistic targets.
Trade Filter Checklist: Is This Setup Worth Taking?
Before taking any trade, filter it through this checklist. If any answer is "No," skip the trade and wait for a setup that meets your parameters:
| Question | Required Answer |
|---|---|
| Is the stop based on technical invalidation? | Yes |
| Is the target based on a realistic support/resistance level? | Yes |
| Is the risk-reward above your strategy threshold? | Yes |
| Does the setup match your trading plan? | Yes |
| Is the position size calculated before entry? | Yes |
| Have you accounted for spread, slippage, or fees? | Yes |
| Would the setup still make sense if the target is reduced slightly? | Yes |
How to Find High Risk-Reward Trades
1. Trade Near Key Levels
Place entries close to major support or resistance zones. Entering near support allows for a tight stop-loss just below support, with a target set at the next resistance level.
- Example: Buying ABC at support at $50.00, placing a stop at $48.50 (Risk = $1.50) and a target at $60.00 (Reward = $10.00). This setup offers a 6.7:1 planned ratio.
2. Trade Consolidation Breakouts
Wait for price to breakout from a consolidation pattern (e.g., rectangle, triangle) and target the measured move of the range height.
- Example: A range breakout above $100.00 with a range height of $10.00. Set a target at $110.00 and a stop just below the breakout level at $98.00, resulting in a 5:1 ratio.
3. Trade Trend Pullbacks
In a strong trend, wait for price to pull back to key moving averages or trendlines. Place stops tightly below the moving average and target a retest of the previous high.
- Example: Buying a pullback to the 50 EMA at $75.00, with a stop at $73.50 and a target at the previous swing high of $85.00, yielding a 6.7:1 ratio.
4. Trade Reversals at Price Extremes
Identify overextended trends (e.g., parabolic moves) at major historical resistance or support levels.
- Example: Shorthand JKL at $120.00 resistance, stop at $122.00, and target a 50% retracement at $100.00, yielding a 10:1 ratio. Note that reversals carry higher failure rates and require strict technical confirmation.
Position Sizing and Risk-Reward
Risk-reward ratio does not decide how much money to risk. Position sizing does. You must calculate position sizes so that your stop-loss always equals your pre-determined dollar risk limit.
| Account Size | Planned Risk % | Max Dollar Risk | Stop-Loss Distance (Risk per Share) | Position Size (Shares) |
|---|---|---|---|---|
| $10,000 | 1% | $100 | $5.00 | 20 shares |
| $10,000 | 1% | $100 | $2.00 | 50 shares |
| $25,000 | 0.5% | $125 | $2.50 | 50 shares |
Calculating position size ensures that even if you take a trade with a tight stop-loss (offering a higher risk-reward ratio), your total potential loss remains fixed at your plan limit.
R-Multiples: Tracking Results Across Trades
Instead of tracking performance in dollars or percentages, professional traders often use R-multiples, where 1R represents your initial risk unit.
- 1R: Your initial dollar risk (e.g., $100).
- +2R: A winning trade where you captured 2x your initial risk (+$200).
- -1R: A standard loss where you exited at your stop-loss (-$100).
Using R-multiples normalizes performance data, removes emotional focus from dollar values, and centers your execution feedback on process quality.
Common Risk-Reward Mistakes
- Faking Your Stop-Loss: Placing your stop too close to your entry to artificially inflate the risk-reward ratio. This increases the probability of getting stopped out by normal market noise.
- Setting Unrealistic Targets: Placing targets at extreme levels with no historical technical justification just to hit a 3:1 ratio.
- Ignoring Volatility and Slippage: Failing to build a buffer for slippage. Volatile markets often worsen entries and stops, degrading your planned ratio.
- Not Exiting at Predefined Targets: Letting greed take over once price reaches your target, leading to giving back profits on a reversal.
- Cherry-Picking Backtest Data: Counting only ideal executions in backtests, ignoring transaction costs, slippage, and emotional execution errors.
How to Practice Risk-Reward Planning with ChartMini
Use ChartMini to practice risk-reward planning before risking real capital:
- Open ChartMini’s free trading simulator.
- Hide future candles with replay mode.
- Mark your planned entry, stop-loss, and target before advancing the chart.
- Calculate planned risk-reward before entering.
- Skip trades that do not meet your strategy threshold.
- After the trade closes, record actual realized risk-reward.
- Compare planned vs actual risk-reward after every 20–50 trades.
- Review whether poor results came from bad setup selection, unrealistic targets, moved stops, or early exits.
This turns risk-reward from a simple formula into a measurable trade-selection process.
FAQ
What is risk-reward ratio in trading?
Risk-reward ratio compares the potential reward of a trade with the amount being risked. For example, risking $100 to target $200 is a 2:1 risk-reward ratio.
What is a good risk-reward ratio?
Many traders use 2:1 as a practical benchmark, but the right ratio depends on the strategy, timeframe, win rate, volatility, spread, slippage, and execution quality.
How do you calculate break-even win rate?
Break-even win rate is calculated as 1 ÷ (1 + risk-reward ratio). For a 2:1 setup, the break-even win rate is 33.3% before fees and slippage.
Is 1:1 risk-reward bad?
Not always. A 1:1 setup can work if the win rate is high enough and costs are low. However, it usually requires stronger consistency than a 2:1 setup.
Why should I track planned vs actual risk-reward?
Planned risk-reward shows your expectation before entry. Actual risk-reward shows what you really captured after slippage, early exits, moved stops, or changed targets.
Key Takeaways
- Risk-reward ratio measures the relative size of your targets compared to your stop-losses.
- Evaluate risk-reward in combination with win rate to ensure a positive expectancy.
- Never place stops too tightly or set unrealistic targets just to artificially inflate your planned ratio.
- Measure both planned and actual risk-reward to analyze and correct execution slippage.
- Enforce position sizing rules to maintain a fixed dollar risk, independent of the setup's risk-reward.
- Leverage simulators like ChartMini to practice evaluating setups and managing exits objectively.
Note: The numbers in this guide are examples, not universal rules. Traders should adapt thresholds based on their strategy, account size, risk tolerance, liquidity, and market conditions.
Related Posts
- Position Sizing 2026: How to Calculate Trade Size and Control Risk
- Trading Execution Gap 2026: How to Follow Your Trading Rules
- Trading Journal Habit 2026: How to Build a Daily Review Routine
- Support and Resistance 2026: How to Identify Key Price Levels
ChartMini automatically calculates risk-reward ratios for every setup, shows you only trades with 2:1 or better, and trails stops to maximize your realized risk-reward.
Practice with ChartMini
Replay historical candles and train your trading decisions.