High win rate but still losing money? Here is the math

TradeYar · Published October 21, 2026 · 5 min read

You win most of your trades, but the account keeps going down. This is common, and it is not bad luck. A win rate tells you how often you win. It says nothing about how much you win or lose each time. You need both numbers to know if you make money.

This guide shows the formula that connects the two, how trading costs move it, and how to check your own history in about ten minutes.

Win rate measures frequency, not money

Take two traders who both win 6 trades out of 10:

Trader A Trader B
Win rate 60% 60%
Average win $50 $50
Average loss $40 $90
Result over 10 trades 6 × $50 − 4 × $40 = +$140 6 × $50 − 4 × $90 = −$60

Same win rate, opposite outcomes. The difference is the size of the average loss compared with the average win. That comparison is called the payoff ratio (average win ÷ average loss). Trader A's payoff ratio is 1.25; Trader B's is 0.56.

The break-even win rate formula

For any pair of average win and average loss, there is one win rate where you neither make nor lose money:

Break-even win rate = average loss ÷ (average win + average loss)

Use the averages as positive dollar amounts.

  • Trader A: 40 ÷ (50 + 40) = 44.4%. A 60% win rate is well above it, so A makes money.
  • Trader B: 90 ÷ (50 + 90) = 64.3%. A 60% win rate is below it, so B loses money even though B wins most trades.

So the question is never "is my win rate high?" It is: is my win rate above my own break-even win rate?

A quick reference, using the same formula:

Payoff ratio (avg win ÷ avg loss) Break-even win rate
2.0 33.3%
1.5 40.0%
1.0 50.0%
0.75 57.1%
0.5 66.7%
1/3 (about 0.33) 75.0%

When your losses are three times the size of your wins, you need to win three trades out of four just to stay flat.

A worked example: 62% wins and still negative

Here is a hypothetical 100-trade history (an illustration, not real account data):

  • 62 wins, average +$40
  • 38 losses, average −$70

Total won: 62 × $40 = $2,480. Total lost: 38 × $70 = $2,660. Net result: −$180.

The break-even win rate is 70 ÷ (40 + 70) = 63.6%. The trader wins 62% of the time, just under the line, so every 100 trades loses about $180. The win rate looks good. The account does not.

Costs move the break-even line

Commission and overnight swap are charged on winners and losers alike. They make every win a little smaller and every loss a little bigger, which pushes the break-even win rate up.

Another hypothetical 100-trade history:

  • 55 wins, average +$50 before costs
  • 45 losses, average −$55 before costs
  • Costs average $3.50 per trade (commission and swap)

Before costs: 55 × $50 − 45 × $55 = +$275. After costs: $275 − 100 × $3.50 = −$75.

Re-run the formula on the net averages. A net win is $50 − $3.50 = $46.50; a net loss is $55 + $3.50 = $58.50. Break-even becomes 58.50 ÷ (46.50 + 58.50) = 55.7%. The trader wins 55%, so the history is profitable before costs and losing after them.

This matters most for scalpers and anyone who trades often with small targets: the smaller your average win, the larger a fixed cost is compared with it. We cover this in more detail in gross vs net P&L.

Common reasons the average loss gets too big

When win rate is high and results are negative, the cause is almost always on the size side. These are the usual suspects to check in your own data. They are possibilities to test, not a diagnosis:

  1. Closing winners early. Taking profit at the first sign of a pullback keeps the average win small.
  2. Holding losers. Moving or removing a stop, or waiting for a loss to "come back", lets the average loss grow. In a trade history, it often shows up as losing trades that stay open much longer than winning trades.
  3. A few very large losses. Ten small wins can be erased by one trade without a stop. Look at your five largest losses and ask what they have in common.
  4. Larger size after losses. If position size goes up after a losing trade, losses get heavier exactly when you are under pressure.
  5. Costs on small targets. As shown above, a fixed cost per trade weighs more when targets are small.

Check your own history in five steps

  1. Export your closed trades from your platform or broker as a file (most platforms offer an account history or statement export).
  2. Use net results. Make sure each trade's result includes commission and swap. If your file shows them in separate columns, add them to the profit column first.
  3. Calculate four numbers: win rate, average net win, average net loss, and the break-even win rate from the formula above.
  4. Compare. If your win rate is below your break-even win rate, your problem is size, not frequency. Trying to win more often will not fix it on its own.
  5. Split before you conclude. Repeat the numbers per strategy, per symbol or per session. A losing total often hides one profitable setup and one that loses money.

Do not over-read a small sample

A win rate measured on a few dozen trades is a rough estimate. As a rule of thumb (a simple binomial approximation), a 60% win rate measured on 30 trades is consistent with a true rate anywhere from about 42% to 78%. On 200 trades, the range narrows to roughly 53% to 67%.

So if your win rate and your break-even win rate are only a few points apart, collect more trades before you change your whole approach. If they are far apart, the answer is probably already clear.

Key points

  • Win rate alone cannot tell you if you make money.
  • Your break-even win rate is average loss ÷ (average win + average loss).
  • Calculate it on net results. Costs raise the line you have to beat.
  • If you are below the line, work on the size of losses and wins before the number of wins.
  • For the next step, learn to put both numbers into one figure with trading expectancy.

Where TradeYar fits: the free dashboard shows win rate, net P&L and expectancy from an imported broker file, with commission and swap taken out of P&L and expectancy. Profit factor is shown on gross results, the usual industry convention. The Pro behaviour patterns include holding losers too long, which fires when your average losing trade stays open at least twice as long as your average winner, and cutting winners short. On the free plan, they open for 7 days, once, after you import 20 or more closed trades.

Sources

Facts last checked October 14, 2026.

Educational content, not investment advice. Trading carries a risk of loss; past results, including your own, do not predict future results.