By Marco BösingWhat Are Win Rate and Expectancy?
Win rate indicates the percentage of all trades in a strategy that end in profit. A win rate of 60% means that out of 100 trades, 60 are profitable and 40 are losers.
Expectancy describes how much a trader earns or loses per trade on average. It accounts for both the win rate and the ratio of average win to average loss (risk-reward ratio).
Together, these two metrics determine whether a strategy makes money over time. A high win rate alone is meaningless if the average losing trade is significantly larger than the average winner — and vice versa.
The Expectancy Formula
Expectancy is calculated as follows:
Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)
Where Loss Rate = 1 - Win Rate.
Example Calculation
A trader has the following statistics:
- Win rate: 50%
- Average win: $200
- Average loss: $100
Expectancy = (0.50 x 200) - (0.50 x 100) = 100 - 50 = +$50 per trade
Although the trader only wins half of the trades, the average gain per trade is $50 because winning trades are twice as large as losing trades.
Why Win Rate Alone Is Misleading
Many beginners fixate on achieving the highest possible win rate. But a high hit rate says little without context:
Scenario A: High Win Rate, Negative
- Win rate: 80%
- Average win: $50
- Average loss: $250
- Expectancy = (0.80 x 50) - (0.20 x 250) = 40 - 50 = -$10 per trade
Despite an 80% win rate, this trader loses money because a single loss wipes out five winning trades.
Scenario B: Low Win Rate, Positive
- Win rate: 35%
- Average win: $400
- Average loss: $100
- Expectancy = (0.35 x 400) - (0.65 x 100) = 140 - 65 = +$75 per trade
With just a 35% win rate, this trader is highly profitable because winning trades are four times larger than losing trades.
The Interplay of Win Rate and Risk-Reward
Successful strategies can operate with very different win rate / risk-reward combinations:
| Win Rate | Risk-Reward | Expectancy (per 1R) |
|---|---|---|
| 70% | 1:1 | +0.40 R |
| 50% | 2:1 | +0.50 R |
| 35% | 3:1 | +0.40 R |
| 25% | 5:1 | +0.50 R |
There is no objectively best value — what matters is that the combination of win rate and risk-reward yields a positive expectancy and the trader is psychologically able to handle the associated loss rate.
How to Improve Win Rate and Expectancy
Improving Win Rate
- Use filters: Only trade during specific market phases or times of day
- Quality over quantity: Only take the best setups instead of every opportunity
- Multi-timeframe analysis: Ensure the higher timeframe trend supports the trade direction
Improving Expectancy
- Limit losses: Use tight but logical stop-losses
- Let winners run: Do not close profitable trades too early
- Trailing stops: Trail the stop in strong moves to maximize profit
- Adjust position size: Trade larger in high-probability setups
FAQ
What Win Rate Do I Need to Be Profitable?
There is no minimum win rate. With a risk-reward of 3:1, a win rate of just 30% is sufficient for positive expectancy. What matters is the combination of win rate and the ratio of average win to average loss.
How Many Trades Do I Need to Know My True Win Rate?
At least 50–100 trades are required for a statistically reliable assessment. With fewer than 30 trades, the observed win rate can deviate significantly from the true win rate.
Is a High Win Rate or a High Risk-Reward Better?
Neither is objectively superior. Traders with high tolerance for losing streaks can work with low win rates and high risk-rewards. Traders who prefer more frequent wins should choose strategies with higher win rates — even if the average profit per trade is smaller.