Win Rate vs Profit Factor: Which Matters More?
Win rate tells you how often your trades win, while profit factor tells you how many dollars you made for every dollar you lost. A high win rate can still lose money if your losses are bigger than your wins, which is why profit factor is usually the more revealing of the two.
This article is education, not financial advice, and none of the examples promise results.
What win rate measures
Win rate = winning trades / total trades
If you take 50 trades and 30 are winners, your win rate is 30 / 50 = 60%.
Win rate is easy to compute and easy to feel, which is both its appeal and its danger. It says nothing about the size of the wins or the losses. A trader who wins 90% of the time by risking $500 to make $50 can be on a path to ruin, while a trader who wins 35% of the time can be consistently profitable.
What profit factor measures
Profit factor = gross profit / gross loss
Gross profit is the sum of all winning trades. Gross loss is the sum of all losing trades, taken as a positive number.
- Profit factor above 1.0: you made more than you lost.
- Profit factor of exactly 1.0: breakeven before any other costs.
- Profit factor below 1.0: you lost more than you made.
A profit factor of 1.5 means that for every $1 lost, $1.50 was won. It includes size of wins and losses, so it captures what win rate leaves out.
Example A: the high win rate that loses money
Over 10 trades, a trader wins 7 and loses 3.
- Average win: $100, so gross profit = 7 x $100 = $700
- Average loss: $300, so gross loss = 3 x $300 = $900
- Win rate = 7 / 10 = 70%
- Profit factor = $700 / $900 = 0.78
- Net result = $700 - $900 = -$200
A 70% win rate looked excellent. Profit factor under 1.0 told the truth. The losses were three times the size of the wins.
Example B: the low win rate that makes money
Over 10 trades, a second trader wins 4 and loses 6.
- Average win: $350, so gross profit = 4 x $350 = $1,400
- Average loss: $150, so gross loss = 6 x $150 = $900
- Win rate = 4 / 10 = 40%
- Profit factor = $1,400 / $900 = 1.56
- Net result = $1,400 - $900 = +$500
The second trader is wrong more often than right and still comes out ahead. Compare the two side by side:
| Metric | Trader A | Trader B |
|---|---|---|
| Win rate | 70% | 40% |
| Gross profit | $700 | $1,400 |
| Gross loss | $900 | $900 |
| Profit factor | 0.78 | 1.56 |
| Net result | -$200 | +$500 |
| Expectancy per trade | -$20 | +$50 |
The expectancy row ties back to the trading expectancy formula. For Trader A: (0.70 x $100) - (0.30 x $300) = $70 - $90 = -$20. For Trader B: (0.40 x $350) - (0.60 x $150) = $140 - $90 = +$50. Net result divided by 10 trades gives the same figures.
How the two metrics are connected
Both come from the same ingredients: how often you win, how much you win, and how much you lose. You can write profit factor in terms of win rate and average size:
Profit factor = (win rate x average win) / (loss rate x average loss)
For Trader B: (0.40 x $350) / (0.60 x $150) = $140 / $90 = 1.56, matching the direct calculation.
This shows why neither number is enough alone. You can raise win rate by taking profits early, but that shrinks your average win. You can raise average win by letting trades run, but that usually lowers win rate. Profit factor tells you whether the trade-off paid off.
What is a good profit factor for trading?
There is no official threshold, and the right answer depends on the strategy, the market, and how many trades are in the sample. These are common rules of thumb, not guarantees:
- Below 1.0: the strategy lost money on this sample.
- 1.0 to about 1.3: thin edge. Commissions, slippage and a few bad trades can flip it.
- About 1.5 to 2.0: often regarded as a solid, workable range.
- Well above 2.0: be skeptical on a small sample. Very high figures often come from a handful of outsized winners or from too few trades.
Always compute profit factor after commissions and fees, since gross numbers overstate the edge.
Why sample size and outliers matter
Profit factor can be distorted by a single trade. Suppose a trader has 20 trades with gross profit of $2,400 and gross loss of $1,200. Profit factor is $2,400 / $1,200 = 2.0.
Now suppose one of the winners was a lucky $1,500 trade. Remove it and gross profit falls to $900. Profit factor becomes $900 / $1,200 = 0.75. The strategy looked excellent and was really one lucky outlier.
To protect yourself:
- Look at profit factor with and without your single biggest winner.
- Track it per setup, not only across all trades.
- Wait for a meaningful sample before changing your plan. A few dozen trades per setup is a common starting point.
- Watch the trend over rolling windows, not just the lifetime figure.
Which one should you watch?
Use both, but give profit factor and expectancy more weight when deciding whether a strategy works. Win rate is still useful for something specific: it tells you what the experience of trading the system will feel like. A system with a 35% win rate will produce long losing streaks, and you need to know that in advance so you can tolerate it without abandoning the plan or falling into revenge trading.
A practical approach is to track win rate, profit factor, average win, average loss and expectancy together. If profit factor is falling while win rate holds steady, your losses are growing relative to your wins, which is a signal worth investigating.
Tracking both in a journal
You do not need a complicated setup. Log each trade with its result and a setup tag, and the metrics follow. Momentra's trade analytics and performance overview show win rate, profit factor and similar performance stats from the trades you log, and the Free plan includes them. If you are choosing a tool, compare options in best trading journal software, and see how to keep a trading journal for what to record.
FAQ
Is profit factor more important than win rate?
For judging whether a strategy makes money, usually yes. Profit factor includes the size of wins and losses, while win rate ignores them. Win rate remains useful for understanding how streaky a system will feel to trade.
What is a good profit factor?
Many traders consider about 1.5 to 2.0 a solid range after costs, while anything under 1.0 means the strategy lost money on that sample. Treat very high numbers with caution if they come from few trades. Context matters, so judge it alongside sample size and expectancy.
Can you have a high win rate and a profit factor below 1?
Yes. If your average loss is much larger than your average win, you can win most trades and still lose money overall. A 70% win rate with $100 average wins and $300 average losses gives a profit factor of 0.78.
How do you calculate profit factor?
Add up all your winning trades to get gross profit, add up all your losing trades as a positive number to get gross loss, then divide gross profit by gross loss. For $1,400 in gross profit and $900 in gross loss, profit factor is 1.56.
How many trades do I need for profit factor to be meaningful?
There is no fixed number, but ten trades is too few to trust. Many traders look for at least a few dozen trades per setup, and check that the result does not depend on one or two outsized winners.
Measure what actually pays
Win rate is a mood, profit factor is a scoreboard. Track both from the same trade log, tag your setups, and check the numbers on a regular schedule instead of trusting your memory. Try Momentra free and let your own trade data show which setups are earning their place.
