Average Win Size

What Is Average Win Size?

Average win size is the typical profit you make on each winning trade. It is calculated by dividing your total profit from all winners by the number of winning trades.

If you have 50 winning trades that total $20,000 in profit, your average win is $400.

This metric matters because it directly impacts your overall profitability. Increasing your average win by 20% increases your net profit by 20%, without changing your win rate at all.

The Calculation

Average Win Size = Total Profit from All Winning Trades / Number of Winning Trades

Example

Over one month, you take 80 trades:

Winning trades (50 total):

• $250, $180, $320, $410, $290, … (47 more)
• Total profit from wins: $18,500

Losing trades (30 total):

• -$150, -$220, -$180, -$210, -$200, … (25 more)
• Total loss: -$6,800

Average Win Size = $18,500 / 50 = $370

Your average winning trade nets you $370 profit. Your average losing trade costs you $226 ($6,800 / 30). Your risk-reward ratio is approximately 1.6:1 — for every dollar you risk, you make $1.60 on average.

Why Average Win Size Matters

Average win size is one of the few factors entirely within your control. Unlike win rate (which depends on your edge), you can directly increase average win size by changing how you manage winners.

Here is how different average win sizes impact profitability:

Trader A: 45% win rate, $300 average win, $250 average loss

• 100 trades: (45 × $300) - (55 × $250) = $13,500 - $13,750 = -$250 (slightly losing)

Trader B: 45% win rate, $400 average win, $250 average loss

• 100 trades: (45 × $400) - (55 × $250) = $18,000 - $13,750 = +$4,250 (profitable)

Same win rate. Same loss size. By increasing average win from $300 to $400 (33% increase), Trader B goes from losing to profitable.

How to Increase Your Average Win

1. Let Winners Run With Trailing Stops

The #1 reason traders have small average wins is that they exit winners too early.

Before: Exit at 1:1 risk-reward, capture $300 profit when the trade is worth $600 After: Use a trailing stop that lets the winner run for $600

This single change can increase average win by 30-50%.

2. Move Stops to Breakeven

Once a trade moves 20-30 pips in your favor, move your stop to breakeven. This locks in small profit and removes the downside risk. You are now free to hold the winner longer without fear.

This psychologically allows larger winners because your risk is eliminated.

3. Scale Into Winners

If your trade moves 20 pips in your favor and confirms the setup, add 50% more position size. Now you have 1.5x your original size on a trade that is already winning.

Result: Your winner is 50% larger without increasing position size on the original entry.

4. Use Wider Targets on Higher Timeframes

A day trader scalping 30-50 pip targets will have smaller average wins than a swing trader targeting 200-300 pip moves. Both are fine, but if you want larger average wins, use higher timeframes with larger targets.

5. Trade Fewer, Larger Position Sizes

Instead of 10 trades at 1 lot each, take 5 trades at 2 lots each. This concentrates risk into high-conviction setups, increasing your average win per setup (because you are betting more when your edge is strongest).

The Relationship to Risk-Reward Ratio

Your average win size is closely tied to your risk-reward ratio.

1:1 R:R (risk $100 to make $100):

• Win size = $100
• This is small and assumes you exit at target immediately

1:2 R:R (risk $100 to make $200):

• Win size = $200
• Requires holding twice as long or larger position

1:3 R:R (risk $100 to make $300):

• Win size = $300
• Requires even more patience or larger position size

By targeting wider R:R ratios, you automatically increase average win size.

Average Win Size by Strategy

Different strategies have different average win sizes.

Scalping (M5, M15):

• Target: 10-20 pips
• Average win: $50-$150

Intraday trading (H1):

• Target: 30-80 pips
• Average win: $150-$400

Swing trading (H4, D1):

• Target: 100-300 pips
• Average win: $400-$1,500

Position trading (W1):

• Target: 300-1,000+ pips
• Average win: $1,500-$5,000+

If your average win is much smaller than typical for your strategy, you are exiting winners too early.

Tracking Average Win Size by Context

The most useful view is average win size broken down by context:

• By pair: Which currency pairs have your largest average wins?
• By strategy: Which setup types produce the largest winners?
• By session: Which sessions (London, NY) produce your largest wins?
• By timeframe: Do higher timeframes produce larger average wins?

If you find that your EUR/GBP trades have average wins of $600 while your AUD/JPY trades average $200, focus on EUR/GBP.

The Balance: Average Win vs. Win Rate

There is a trade-off: larger average wins often mean lower win rates.

A strategy that targets 1:3 R:R might have only 35% win rate but $600 average win. A strategy that targets 1:1 R:R might have 50% win rate but $200 average win.

Which is better?

Strategy 1: 35% × $600 - 65% × $200 = $210 - $130 = +$80 per trade Strategy 2: 50% × $200 - 50% × $200 = $100 - $100 = $0 per trade (break-even)

Strategy 1 is superior despite the lower win rate, because average win is larger.

Do not optimize for win rate. Optimize for expectancy (average profit per trade), which depends on both average win size and win rate.

The Bottom Line

Increasing your average win size is one of the highest-ROI improvements you can make. It requires no new strategy, no new edge — just better trade management.

Start tracking it. Identify where you are exiting winners too early. Practice holding with trailing stops. Watch your average win increase 20-30%.

Combined with your existing win rate, this will significantly increase profitability.

Track your average win size in PipJournal. Measure it by pair, strategy, and session. Identify which contexts produce your largest winners and focus there. Let winners run and watch your profitability transform. Start tracking.