Ask a forex signal provider to sum up their service in one number, and most will reach for the same statistic: win rate. “92% winning trades.” “9 out of 10 signals profitable.”
It’s an easy figure to advertise and an easy one to be impressed by. It’s also, on its own, one of the least useful numbers for judging whether a service is actually worth following.
That isn’t because win rate is meaningless. It’s because win rate answers only one question — how often does this service win? — and leaves out the question that actually determines whether you make or lose money: how much do the wins and losses come to, once they’re added up?
This guide explains exactly what win rate measures, why it can be dramatically misleading in isolation, and what to look at alongside it before judging any signal provider’s track record.
What Win Rate Actually Measures
Win rate is simple arithmetic: the number of winning trades divided by the total number of trades, expressed as a percentage.
Win Rate = (Winning Trades ÷ Total Trades) × 100
A service that closes 70 winning trades out of 100 has a 70% win rate. That’s the entire calculation. Notice what it doesn’t include anywhere in the formula: how big the wins were, how big the losses were, or how those figures compare to each other.
Two services can both report a 70% win rate while one is comfortably profitable and the other is steadily losing money.
Why a High Win Rate Can Still Lose Money
Consider a signal provider with a 90% win rate — a figure that sounds close to unbeatable. Suppose it targets 8 pips profit on winning trades but uses a 100-pip stop loss on the ones that go wrong.
Over 10 trades, 9 wins at 8 pips each brings in 72 pips. A single loss at 100 pips wipes that out and leaves the account 28 pips worse off — a net loss, despite winning nine times out of ten.
The win rate looks superb. The underlying maths doesn’t work.
Why a Low Win Rate Can Still Be Profitable
Now take the opposite case: a trend-following service with a win rate of just 35%, which sounds unimpressive by comparison. Suppose its average winning trade makes 150 pips and its average losing trade costs 40 pips.
Over 20 trades, 7 wins at 150 pips produce 1,050 pips. 13 losses at 40 pips cost 520 pips.
The net result is a gain of 530 pips — a clearly profitable outcome from a service that loses almost two-thirds of the time.
This is exactly how most trend-following and breakout strategies actually operate: frequent small losses, occasional large wins.
The Number That Actually Matters: Expectancy
The figure that ties win rate and trade size together is called expectancy — the average amount you’d expect to gain or lose per trade, over the long run.
Expectancy = (Win Rate × Average Win) – (Loss Rate × Average Loss)
| Service | Win rate | Avg win / Avg loss | Expectancy per trade |
|---|---|---|---|
| High win rate, poor risk-reward | 90% | 8 pips / 100 pips | (0.90 × 8) – (0.10 × 100) = –2.8 pips |
| Low win rate, strong risk-reward | 35% | 150 pips / 40 pips | (0.35 × 150) – (0.65 × 40) = 26.5 pips |
A negative expectancy means the service loses money on average, however good the win rate looks on a sales page. A positive expectancy is the actual sign of an edge — and it can come from a high win rate, a low one, or anywhere in between, depending on how the wins and losses are sized.
Typical Win Rates by Strategy Style
Win rate on its own tells you more about a strategy’s style than its quality. As a rough guide:
- Scalping and short-term mean reversion often report high win rates (70–90%+), because targets are small and easily reached — but a single wide-stop loss can offset many small wins.
- Trend-following and breakout strategies typically report lower win rates (30–50%), because most attempts to catch a trend fail early, while the trades that do work are left to run much further.
- Balanced swing strategies with roughly equal risk and reward targets tend to sit around 50–60%, closer to what a modest genuine edge looks like.
- Martingale and grid-based services can report artificially high win rates — often 90%+ — because most individual trades are engineered to close in profit, while the risk is concentrated in the rare event that gets hidden by the headline figure.
None of these styles is automatically better than another. The point is that a headline win rate needs to be read in the context of what kind of strategy is producing it.
How Win Rate Gets Inflated
Beyond simply choosing a lopsided risk-reward ratio, a few common practices can make a published win rate look better than the strategy’s actual results.
- Counting breakeven trades as wins. A trade closed at entry price, after the stop was moved to breakeven, technically didn’t lose — but counting it as a “win” alongside genuinely profitable trades inflates the percentage without adding any profit.
- Counting partial closes as full wins. If a third of a position is closed for a small profit and the rest is later stopped out at a loss, reporting that as a single “winning trade” misrepresents the actual outcome.
- Excluding open positions. A win rate calculated only from closed trades can look very different once currently open, floating-loss positions are included.
- Cherry-picking the reporting period. A win rate pulled from a provider’s best month, rather than its full history, tells you about that month — not about what to expect going forward.
Questions to Ask About Any Published Win Rate
- What is the average size of a winning trade, and the average size of a losing trade? Win rate without these figures can’t be properly interpreted at all.
- Does the figure include breakeven trades, and are they counted separately from genuine wins?
- Are partial closes reported as full wins, or broken down accurately?
- Does the win rate include currently open positions, or only closed ones?
- Over how many trades and how long a period was the win rate calculated? A handful of trades proves very little.
- What is the resulting expectancy per trade, once win rate and average size are combined?
Key Takeaways
Win rate on its own tells you how often a service wins, not whether it makes money. A 90% win rate paired with a poor risk-reward ratio can lose steadily, while a 35% win rate with strong risk-reward can be genuinely profitable.
Before judging any forex signal provider, ask for the average win, the average loss, and work out the expectancy — that figure, not the headline win rate, is what actually determines whether following the service is likely to make or lose you money.
This article is for educational purposes and does not constitute financial advice. Trading forex carries a high level of risk and may not be suitable for all investors.
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