Risk/Reward Ratio: Why You Can Lose 70% of Your Trades and Still Be Profitable
By Mario Maldonado · Read time: 8 min · Leer en Español
New traders obsess over win rate. The traders making real money over time often win fewer than half their trades. The key variable isn't win rate — it's expected value per trade. Understanding this distinction is what separates traders who last from traders who wash out in their first year.
The Expectancy Formula: The Only Number That Truly Matters
Win rate without context is meaningless. A 70% win rate with a terrible reward-to-risk ratio is a losing system. A 30% win rate with a strong R:R is a winning system. Mathematical expectancy captures both dimensions into a single actionable number.
E > 0 = profitable system | E < 0 = money-losing system
30% win rate, average win $300, average loss $100:
E = (0.30 × $300) − (0.70 × $100) = $90 − $70 = +$20 per trade
Positive edge. Profitable. Despite losing 70 out of every 100 trades.
The Break-Even Win Rate Table
| R:R Ratio | Break-Even Win Rate | Win Rate for Good Profitability | Typical Setup |
|---|---|---|---|
| 1:1 | 50% | 55%+ | Momentum scalping |
| 1:2 | 33.3% | 40%+ | Breakout with defined target |
| 1:3 | 25% | 30%+ | Swing trade off consolidation |
| 1:4 | 20% | 25%+ | Catalyst play with tight stop |
| 1:5 | 16.7% | 20%+ | Flag breakout with volume |
Calculating Your Actual Edge
You need real trade data — minimum 50–100 live trades. Calculate:
- Actual Win Rate: Winning trades / Total trades
- Average Win: Sum of gains / Number of winning trades
- Average Loss: Sum of losses / Number of losing trades
- Expectancy: (Win% × Avg Win) − (Loss% × Avg Loss)
- R Multiple: Expectancy / Average Loss
Average win: $420 | Average loss: $140
E = (0.36 × $420) − (0.64 × $140) = $151.20 − $89.60 = $61.60 per trade
R Multiple = $61.60 / $140 = 0.44R per trade
36% win rate, effective 1:3 R:R — genuine positive edge.
The Classic Self-Sabotage: Destroying Your Own R:R
You enter with a 1:3 target. Price moves in your favor. You're up $150 on a $100-risk trade. Fear causes you to close early at 1:1.5. Meanwhile your stop is exactly where planned — losses hit full size. Your 1:3 system now operates at 1:1.5 and becomes unprofitable at any realistic win rate. This is the death pattern: cut winners short, let losers run full.
The Compounding Power of Consistent Positive Expectancy
On a $10,000 account, 2% risk ($200), 0.3R expectancy per trade:
- Expected gain per trade: $200 × 0.3 = $60
- 100 trades: +$6,000 net expected
- Year 1: $16,000 | Year 2: $25,600 | Year 3: $40,960
Modest positive expectancy, applied consistently, produces extraordinary-looking results. They're not extraordinary — they're just mathematics working in your favor instead of against you.