Average win is the typical size of your winning trades; average loss is the typical size of your losing trades. Tracked separately and compared to each other, these two numbers reveal a pattern most traders don't realize they have — until the data makes it impossible to ignore.
How to Calculate Average Win and Average Loss
Average Win = Total Profit From Winners ÷ Number of Winning Trades
Average Loss = Total Loss From Losers ÷ Number of Losing Trades
Calculate each independently, then compare them as a ratio: Average Win ÷ Average Loss. This is your realized win/loss ratio — distinct from risk-reward ratio, which is what you plan before a trade. This number is what actually happened.
A Worked Example
Your winning trades this month totaled $1,800 across 12 wins — an average win of $150. Your losing trades totaled $1,600 across 8 losses — an average loss of $200. Your average loss is larger than your average win, even though you won more often than you lost. That combination can still be profitable, but it's worth understanding why the gap exists.
The Pattern This Reveals: Cutting Winners Short, Letting Losers Run
When average loss is meaningfully larger than average win, it's often a sign of a specific, common behavioral pattern: closing winning trades early out of fear of giving back profit, while holding losing trades too long, hoping they'll turn around. The result is a string of small, quick wins offset by occasional large, drawn-out losses — a pattern that feels fine day to day but erodes an account over time.
The opposite pattern also exists and is healthier: a larger average win than average loss usually means winners are being allowed to run toward a real target while losers are cut quickly at a predetermined stop — the discipline that risk-reward ratio planning is meant to produce.
Why This Is Easy to Miss Without Data
Traders remember big wins vividly and tend to mentally minimize small, frequent losses — or the reverse, depending on temperament. Neither impression is reliable. Only a complete, automatically-recorded trade history shows the real average win and average loss size, and the pattern usually only becomes obvious once it's laid out in the numbers.
See Your Real Average Win and Loss, Not Your Memory of Them
LedgerPips calculates your average win, average loss, and the ratio between them automatically from your synced MT4/MT5 history — surfacing patterns like cut-short winners before they quietly cost you over months.
Conclusion
Average win and average loss, tracked separately and compared, reveal behavioral patterns that win rate and total P&L alone can't show. If your average loss dwarfs your average win despite a healthy win rate, that's the number worth investigating first.
