Risk-Reward Ratio

Stack the math in your favor—even with a 40% win rate

Beginner
16 min read
Includes Formulas

What is Risk-Reward Ratio?

The risk-reward ratio (R:R) compares how much you are willing to lose on a trade versus how much you aim to make. If you risk 50 pips to target 150 pips, your risk-reward ratio is 1:3 (risking 1 to make 3). R:R is the cornerstone of positive expectancy—the expected profit over a large sample of trades.

Formula

Risk-Reward Ratio = Potential Profit ÷ Potential Loss

Example: Risk 50 pips, target 100 pips → R:R = 100 ÷ 50 = 2:1

Why it Matters

• Determines whether your strategy can survive losing streaks

• Allows profitability even with low win rates

• Gives clarity on where to place take-profit levels

• Helps evaluate if a trade setup is worth taking

Without R:R Planning

• Random take-profit targets

• Emotional exits

• No way to judge if trades are worthwhile

• Difficult to stay consistent

Win Rate vs Risk-Reward: The Math

Profitability isn't about being right all the time. It's about making more when you're right than you lose when you're wrong. Here's a breakdown showing how different win rates and R:R combinations affect profitability.

Profitability Matrix

Risk-RewardWin Rate Needed to Break EvenExample
1:150%Risk 50 pips / Target 50 pips
1:1.540%Risk 40 pips / Target 60 pips
1:233.3%Risk 50 pips / Target 100 pips
1:325%Risk 40 pips / Target 120 pips
1:420%Risk 25 pips / Target 100 pips

Expectancy: The Formula Pros Use

Expectancy is the average amount you can expect to make (or lose) per trade over the long run. It's the ultimate measure of your trading edge.

Expectancy Formula

Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)

Where Loss Rate = 1 − Win Rate. If expectancy is positive, your strategy is profitable over many trades.

Example: 40% Win Rate, 1:3 R:R

Win Rate = 40% → Loss Rate = 60%

Average Win = +$300

Average Loss = −$100

Expectancy = (0.4 × 300) − (0.6 × 100) = 120 − 60 = +$60 per trade

Example: 60% Win Rate, 1:1 R:R

Win Rate = 60% → Loss Rate = 40%

Average Win = +$100

Average Loss = −$100

Expectancy = (0.6 × 100) − (0.4 × 100) = 60 − 40 = +$20 per trade

Takeaway: A lower win rate with high R:R can outperform a higher win rate with low R:R. Focus on the math, not just being right.

Designing High Probability Targets

Profit targets should be set where price is likely to travel based on structure—not random numbers. Here are practical ways to choose realistic targets that align with your desired risk-reward.

Method 1: Structure-Based Targets

  • Support/Resistance: Target the next key level. If you're long from support, aim for resistance for a natural 1:2 or better.
  • Supply/Demand Zones: Draw supply zones above price (for longs) and demand zones below price (for shorts).
  • Previous Swing High/Low: Simple and effective. Use swing highs for longs, swing lows for shorts.

Method 2: ATR-Based Targets

Use ATR to set realistic targets based on volatility. If ATR(14) = 80 pips on the 4H chart, targeting 200 pips is unrealistic—price rarely moves 2.5× ATR without retracing.

Target Distance = Stop Distance × Desired Risk-Reward

Example: Stop = 40 pips, desired R:R = 1:2 → Target = 40 × 2 = 80 pips

Method 3: Partial Profits + Runner

Take partial profits at 1:1 to lock in gains, then trail the rest to 1:2, 1:3, or higher. This increases win rate while still letting winners run.

Real Trade Examples

Example 1: EUR/USD Trend Continuation (1:3 R:R)

  • • Entry: 1.0850 after pullback to 50 EMA
  • • Stop: 1.0800 (50 pips)
  • • Target: 1.1000 (150 pips)
  • • Risk-Reward: 1:3
  • • Result: Hit target after 3 days = +150 pips
  • • Expectancy: Even if next 2 trades lose (−50 each), you're still net +50

Example 2: GBP/USD Breakout (1:2 R:R)

  • • Entry: Breakout at 1.2650
  • • Stop: 1.2600 (50 pips)
  • • Target: 1.2750 (100 pips)
  • • R:R = 1:2
  • • Result: Hit target same session = +100 pips
  • • Losing trade size? -50 pips. Needs only 33% win rate to break even.

Mistakes Traders Make with R:R

❌ Targeting Random Numbers

"I'll take profit at 100 pips because it sounds good." Profit targets must be anchored to structure, volatility, or confluence—not arbitrary round numbers.

❌ Forcing Trades to Meet Desired R:R

Stretching targets to achieve 1:3 even when market structure doesn't support it leads to unrealistic goals. Take high-quality 1:2 setups rather than forcing 1:3 on low probability trades.

❌ Ignoring Win Rate

A 20% win rate with 1:2 R:R still loses money. Match your strategy's win rate to a realistic R:R profile. Track your data to find your natural sweet spot.

❌ Moving Stops but Not Targets

Traders let losses run (moving stops away) but cut winners fast. Reverse this habit: cut losers fast, let winners run.

Key Takeaways

  • Risk-reward ratio is the engine of profitability—aim for at least 1:2 on every trade.
  • You can be profitable with a 40% win rate if your average win is 2.5× your average loss.
  • Use expectancy to evaluate strategies: (Win% × Avg Win) − (Loss% × Avg Loss).
  • Set take-profit targets based on structure and volatility, not hope.
  • Track every trade in a journal to discover your natural R:R profile.

Continue Learning

    Risk-Reward Ratio | Build Profitable Trading Setups That Win Long-Term | FN Pulse