Average Win/Loss Calculator
Essential metrics to analyze and optimize your trading performance.
Average Win/Loss Ratio
This checks the ratio between your average winning trade and your average losing trade.
Formula: Average Win / Average LossCard 1
How to calculate this metric
Follow these four steps using your actual trade history to get a reliable ratio.
Avg Win/Loss Ratio = Average Winning Trade ÷ Average Losing Trade- 1
Record every winning trade — Sum up all the profits from winning trades over a defined period (day, week, month, or a fixed number of trades).
- 2
Calculate your average win — Divide total profit from winners by the number of winning trades. e.g. ₹9,000 profit across 30 wins = ₹300 average win.
- 3
Calculate your average loss — Divide total loss from losing trades by the number of losing trades. e.g. ₹2,000 loss across 20 losses = ₹100 average loss.
- 4
Divide average win by average loss — e.g. ₹300 ÷ ₹100 = 3.0. This means on average each win recovers three times what each loss costs.
Expectancy = (Win Rate × Avg Win) − (Loss Rate × Avg Loss)Card 2
What is a good about this metric?
A ratio above 1.0 means your winners are bigger than your losers on average. The higher the ratio, the more resilient your strategy is to a run of losses.
Below 1.0
Dangerous
Losses outsize wins — even a high win rate may not save you.
1.0 – 1.5
Marginal
Acceptable only with a win rate above 60%.
1.5 – 2.5
Good
Solid range used by most consistent traders.
2.5 or above
Excellent
Wins dwarf losses — very resilient to losing streaks.
A ratio of 2.0 or above is a common target. Combined with a 40–50% win rate, it produces a positive expectancy — meaning you make money in the long run even when you lose more trades than you win.
Card 3
Common metric of this mistakes
These errors silently distort your ratio and lead to overconfident trading decisions.
Using gross instead of net figures
Always subtract brokerage, STT, and slippage from wins and add them to losses. Gross figures paint an unrealistically rosy picture.
Mixing timeframes or strategies
Averaging wins from a swing strategy with losses from an intraday strategy produces a meaningless number. Keep each strategy's data separate.
Too small a sample size
A ratio based on 5 trades is noise. Use at least 30–50 trades to get a statistically meaningful average.
Ignoring win rate alongside the ratio
A ratio of 3.0 is worthless if your win rate is 15%. Always evaluate avg win/loss ratio together with your win rate to judge true expectancy.
Letting outlier trades skew the average
One home-run trade can inflate your average win for months. Consider tracking median win/loss alongside the mean to spot distortion.