# How to Calculate Your Average Win and Average Loss > Average win and average loss are the building blocks of expectancy analysis. Here is how to calculate them, what they reveal, and how to use them. **Tags:** average-win, average-loss, metrics, performance-analysis **URL:** https://traderjournal.app/trading-metrics/how-to-calculate-average-win-average-loss --- # How to Calculate Your Average Win and Average Loss Average win and average loss are foundational metrics for understanding your trading performance. Together with win rate, they determine whether your strategy is profitable and by how much. --- ## The Calculations **Average Win** = Total gross profit from winning trades / Number of winning trades **Average Loss** = Total gross loss from losing trades / Number of losing trades (expressed as a positive number) **Example:** Over 80 trades: - 48 winning trades totaling $6,720 gross profit - 32 losing trades totaling $3,840 gross loss Average win = $6,720 / 48 = $140 Average loss = $3,840 / 32 = $120 Average win-to-loss ratio = $140 / $120 = 1.17 This strategy makes 17% more on average winning trades than it loses on average losing trades, with a 60% win rate. Profitable by expectancy. --- ## The Win/Loss Ratio vs R:R Average win divided by average loss gives you the realized win/loss ratio. This is different from your planned R:R. If you plan a 1:2 R:R on every trade but your average win is only 1.2x your average loss, there is a significant gap between planned and realized performance. This gap usually comes from: - Closing winners too early before reaching the target - Moving take profit closer during the trade - Stops being moved in the losing direction, making average losses larger than planned The journal shows you both planned R:R (from the entry setup) and realized win/loss ratio. A persistent gap between these two numbers identifies a specific area to work on. --- ## What Large Average Losses Relative to Wins Signal If your average loss is larger than your average win, you need a high win rate to be profitable. How high? At 1:0.8 win/loss ratio (average win 80% of average loss): Breakeven win rate = 1 / (1 + 0.8) = 55.6% You need to win more than 55% of trades just to break even before costs. This is achievable but leaves a thin margin for periods of underperformance. Common causes of high average loss relative to wins: - Holding losses too long while cutting winners quickly - Moving stops further away on losing trades - Taking profits mechanically while stops are more loosely managed --- ## The Skew Problem: Outliers A few very large wins or losses can distort average win and average loss significantly. If 5 of your 48 winning trades made 10x the average win, those 5 trades inflate your average win figure. Remove them and the average may drop by 40%. This matters when projecting future performance. If your "edge" is dependent on a few home-run trades per quarter, it is much less reliable than an edge that produces consistent, moderate wins across many trades. Check this by looking at your median win alongside your mean win. If the median is significantly lower than the mean, large outliers are doing the heavy lifting. --- ## Using Average Win/Loss to Set Targets Once you know your typical average win from historical data, you can use it as a reference for setting realistic take profit targets on future trades. If your historical average win is $140 and you are setting a take profit that would produce $300, you are targeting more than double your typical win. This is achievable occasionally, but targeting it every trade often means your take profit is not reached and you end up with smaller wins than intended. Calibrating take profit targets to your historical realized average win (rather than your hoped-for win) often improves consistency. --- These metrics are all visible in Trader Journal's Reports tab. Download at android.traderjournal.app or ios.traderjournal.app.