Performance Metrics

Average Win vs Average Loss

Average win is the total winning result divided by winning trades; average loss is the total losing result divided by losing trades in the same defined sample.

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Read the realised size ratio with win rate. It is different from a planned risk-reward ratio. Click or tap to enlarge.
Handwritten fictional XAUUSD sample showing a 180 dollar average win, 80 dollar average loss, and 2.25 to 1 realised size ratio

What do average win and average loss mean?

Average win is the total result from winning trades divided by the number of winning trades. Average loss is the absolute total result from losing trades divided by the number of losing trades in the same defined sample.

These two averages describe realised results. They do not tell you what was planned before each trade.

Fictional 20-trade XAUUSD example

Use the same sample as the win-rate, profit-factor and expectancy definitions:

  • 8 winning trades produced $1,440: $1,440 ÷ 8 = $180 average win.
  • 12 losing trades lost $960: $960 ÷ 12 = $80 average loss.

You can describe the realised outcome-size relationship as:

$180 ÷ $80 = 2.25, or 2.25:1

This ratio describes the average sizes in these 20 fictional trades. It does not guarantee that the sample is profitable and does not predict the next trade.

Realised size ratio or planned risk-reward ratio?

The 2.25:1 above comes from completed trades. A planned risk-reward ratio compares intended loss and intended reward before entry. Slippage, partial exits, costs and trade management can make the realised result different from the plan.

Why must you read it with win rate?

Average outcome size explains only one part of the sample. The number of wins and losses also matters. Two samples can have the same $180 average win and $80 average loss but different overall results because their win rates differ.

The expectancy calculation combines frequency and average outcome size.

Keep the sample rules visible

  1. Use one clear start and end date.
  2. Define how breakeven trades, partial exits and multi-leg positions are counted.
  3. Use one currency or R method throughout.
  4. State whether spread, commission, swap and other costs are included.
  5. Check whether one unusual winner or loser moved a small-sample average.

What should you use next?

The trading expectancy calculator lets you enter winning and losing counts and averages. The trading performance metrics guide shows how to read these figures beside profit factor, expectancy, drawdown and trade count.

Sources checked

Rules and product details can change. These sources were checked for this revision.

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