Average win is the mean dollar amount you profit on winning trades. It’s calculated by dividing your total profits from winners by the number of winning trades. Along with average loss and win rate, it’s essential for calculating your trading expectancy.
- Average Win = Total Profits from Winners / Number of Winning Trades
- What matters is the ratio of average win to average loss, not absolute size
- Letting winners run typically increases average win more than any other tactic
How Average Win Works
Average win shows the typical profit you capture when a trade goes your way. It’s a simple but crucial metric.
Average Win = Total Profit from Winning Trades / Number of Winning Trades
This gives you the mean profit per winner in dollar terms.
Quick Reference
| Avg Win vs Avg Loss | Interpretation | Win Rate Needed |
|---|---|---|
| 0.5:1 | Wins half of losses | 67%+ to profit |
| 1:1 | Equal wins and losses | 50%+ to profit |
| 1.5:1 | Wins 1.5× losses | 40%+ to profit |
| 2:1 | Wins 2× losses | 33%+ to profit |
| 3:1 | Wins 3× losses | 25%+ to profit |
Example Calculation
Your Last 30 Trades:
- Total Trades: 30
- Winning Trades: 12
- Total Profit from Winners: $4,800
Average Win Calculation:
Average Win = $4,800 / 12 = $400
Your average winning trade yields $400 in profit.
Now Calculate Expectancy: If your average loss is $250 with 18 losing trades:
- Win Rate: 12/30 = 40%
- Loss Rate: 60%
Expectancy = (0.40 × $400) - (0.60 × $250) = $160 - $150 = $10 per trade
Average win is the mean profit from winning trades, calculated as total profits divided by number of winners. Combined with win rate and average loss, it determines your expectancy. Aim for average wins at least 1.5 times your average loss.
Average Win by Trading Style
Different trading styles produce different average wins:
| Style | Typical Avg Win | Typical Avg Loss | Ratio |
|---|---|---|---|
| Scalping | $50-150 | $30-100 | 1:1 to 1.5:1 |
| Day Trading | $200-500 | $100-300 | 1.5:1 to 2:1 |
| Swing Trading | $500-2,000 | $200-800 | 2:1 to 3:1 |
| Position Trading | $2,000-10,000 | $500-2,000 | 3:1 to 5:1 |
Longer holding periods typically allow for larger average wins because trades have more time to run.
Increasing Average Win
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Let winners run – The biggest enemy of average win is cutting winners too early. Use trailing stops instead of fixed targets.
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Scale out in portions – Sell half at 1R target, let the rest run. This balances locking in profits with letting winners grow.
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Target key levels – Set targets at significant support/resistance levels rather than arbitrary price points.
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Trade higher timeframes – Larger moves take time. Swing trades typically have higher average wins than scalps.
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Avoid premature exits – Track why you exit. If you’re often exiting before target due to fear, work on that psychological issue.
Tracking Average Win Over Time
Monitor how your average win evolves:
| Month | Wins | Total Profit | Avg Win | Change |
|---|---|---|---|---|
| Jan | 15 | $4,500 | $300 | — |
| Feb | 12 | $4,200 | $350 | +17% |
| Mar | 18 | $7,200 | $400 | +14% |
| Apr | 14 | $6,300 | $450 | +12% |
Increasing average win while maintaining win rate dramatically improves expectancy.
Common Mistakes
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Ignoring the ratio – $1,000 average win sounds great until you learn average loss is $1,500. Focus on the ratio, not absolute numbers.
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Chasing huge wins – Trying for 10R winners sounds exciting but often means you give back most winners. Consistent 2-3R wins compound better.
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Not filtering by setup – Your overall average win hides that some setups produce $600 average while others produce $200. Segment your data.
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Using median instead of mean – A few big wins can inflate the mean. Check median average win too for a more robust picture.
How JournalPlus Tracks Average Win
JournalPlus calculates your average win automatically and breaks it down by strategy, instrument, time period, and setup type. You can identify which trades produce your largest average wins and focus your energy on replicating those conditions.
