The win rate myth: why winning most trades isn't the whole story
"90% win rate" sounds like the finish line. It's half a number. Without the size of the wins and losses next to it, it can't tell you whether a method adds up at all.
The myth
Win rate is the easiest number to understand. Out of 10 trades, how many won? It's also the number that gets shown off most, because it sounds impressive.
It feels natural to think the highest win rate wins. School tests work that way: 9 out of 10 beats 4 out of 10. Trading math works differently, and most explanations never show why.
What's actually true
Every result is made of two numbers: how often you win, and how big wins are compared to losses. Here's the proof, in units of risk.
Method A: wins 90% of trades. Each win is +0.1 units. Each loss is −1.5 units. Over 100 trades: 90 × 0.1 − 10 × 1.5 = 9 − 15 = −6 units.
Method B: wins 40% of trades. Each win is +2 units. Each loss is −1 unit. Over 100 trades: 40 × 2 − 60 × 1 = 80 − 60 = +20 units.
Math examples, not promises. Real results vary and costs come off the top.
Method A won 9 times out of 10 and still came out behind. Method B lost most of its trades and came out ahead in this example. The number that tells the truth is Expectancy: the average result per trade.
How high win rates often get built
There are simple ways to win often, and most of them shrink the wins or grow the losses:
- Taking small gains fast and letting losers run.
- No stop at all. Waiting until a losing trade "comes back" works often, until the one time it doesn't.
- Moving the stop away when price gets near it.
Each of these raises the win rate and quietly makes the rare loss bigger.
The breakeven table
How often do you need to win just to break even, before costs?
| Average win vs loss | Win rate needed to break even |
|---|---|
| 0.5 to 1 | 67% |
| 1 to 1 | 50% |
| 2 to 1 | 33% |
| 3 to 1 | 25% |
The bigger the wins compared to losses, the less often you need to win. That's why many traders plan a target worth at least 2 times the risk. See the Risk-reward ratio and our risk-reward guide.
What to do instead
- Log every trade in units of risk. A win of 2 times your risk is +2. A full loss is −1. See how to keep a trading journal.
- Track three numbers together: win rate, average win, average loss.
- Work out expectancy after 30 or more trades. The expectancy calculator does it.
- Plan the target before you enter. Check it with the risk-reward calculator.
- Keep the loss fixed. A stop from the chart, sized to your 1%, keeps "−1" meaning −1.
Common follow-up mistakes
- Swinging to huge targets. A 10-to-1 target may almost never be reached. The real win rate drops to match.
- Judging after 10 trades. Ten trades is a coin-toss sample. Wait for 50 to 100.
- Comparing win rates between people. Two traders with the same win rate can have opposite results.
- Forgetting costs. Lots of small wins pay lots of spreads and commissions.
Questions
What is a good win rate for trading?
There's no good win rate on its own. 35% can work with large wins and small losses; 80% can fail if the few losses are big. Look at win rate together with average win and average loss.
Can you lose money with a high win rate?
Yes. If the losses are much bigger than the wins, a high win rate can still add up to a negative total. The worked example above shows a 90% win rate coming out at −6 units.
What is expectancy in trading?
It's the average result per trade, often in units of risk: (win rate × average win) − (loss rate × average loss). It tells you how a set of trades behaved on average. See expectancy.
Is a 50% win rate good?
With wins equal to losses, 50% is break-even before costs. With wins twice the size of losses, 50% would be well above break-even in the math. It depends on the other number.
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