What is a good win rate in trading?

It depends on R:R. At 1:2, 40% is a good result; at 1:0.5, even 60% can lose money.

Can I trust signals that promise a 90% win rate?

Only if the full history is public — average win, average loss and number of trades, not just the headline number. Very high win rates are often achieved with tiny targets and wide stops.

Risk

What is Win rate?

In short

Winning trades divided by all closed trades. On its own it is not enough — average win and loss size matter too.

Also known as: g'alaba foizi

Win rate is the number of winning trades divided by all closed trades:

Win rate = Winning trades ÷ All closed trades × 100%

If 20 out of 50 trades closed in profit, the win rate is 40%.

Why it isn't enough on its own

A high win rate sounds attractive, but it is only half the story. A trader who wins 70% of the time but makes a little on each win and loses a lot on each loss can still be net negative. The real outcome is shown by win rate together with average win and average loss — that is, expectancy or profit factor.

Link to R:R

The win rate needed to break even depends on R:R: 1 ÷ (1 + R). A 1:2 system needs only 33%, while a 1:0.5 system needs 67%. That is why trend followers often work with a low win rate and a high R:R, while short-target strategies do the opposite.

Limitations

Win rate is misleading on small samples: 70% over 10 trades may be pure luck. You need at least several dozen trades for a reliable conclusion. Also, cutting winners early and holding losers inflates the win rate artificially while making the results worse.

Expected result after 100 trades

A: 40% win rate, 1:2B: 55% win rate, 1:1C: 90% win rate, +$10 / −$150

1R = $50. Expectancy is +$10 per trade for A, +$5 for B and −$6 for C. The highest win rate (C) is the only losing system. These are averages: real results wobble around them.

Win rate needed to break even

R:R 1:150%

R:R 1:233%

R:R 1:325%

Formula: 1 ÷ (1 + R). The higher the R:R, the fewer wins you need.

Example

Compare two illustrative traders (50 trades each):

Trader A: win rate 40%, average win $150, average loss $60. Per trade: 0.4 × $150 − 0.6 × $60 = $60 − $36 = +$24.
Trader B: win rate 70%, average win $40, average loss $120. Per trade: 0.7 × $40 − 0.3 × $120 = $28 − $36 = −$8.

Over 50 trades, Trader A with the lower win rate ends up about +$1,200, while "frequent winner" Trader B ends up about −$400.

Mistakes and tips

Never judge win rate on its own — always look at average win and average loss next to it.
Taking profits early and holding losers because "it will come back" raises win rate but drains the account.
Calculate win rate per setup type from your trading journal — that shows which setup actually works.

Calculate it

Risk / Reward (R:R) calculator

Calculate the R:R ratio from entry, stop and target, and the minimum win rate you need to stay profitable.

Time to goal calculator

See how many trades, and roughly how many days or months, it takes to grow your balance to a target at a given gain per trade.

Frequently asked questions

What is a good win rate in trading?: It depends on R:R. At 1:2, 40% is a good result; at 1:0.5, even 60% can lose money.
Can I trust signals that promise a 90% win rate?: Only if the full history is public — average win, average loss and number of trades, not just the headline number. Very high win rates are often achieved with tiny targets and wide stops.

Learn it in the Academy

This term is covered with hands-on examples and a quiz in these lessons of the interactive course.

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