Win Rate vs Risk-Reward: How a 43% Win Rate Can Be Profitable

Win rate on its own tells you almost nothing about whether a strategy makes money. What matters is win rate combined with risk-reward (how big your winners are compared with your losers), which together give expectancy. A strategy that wins 43% of the time can be solidly profitable if its average winner is well over twice its average loser.

Win rate, risk-reward and expectancy: the definitions

Win rate is the share of trades that close in profit. Win 43 of 100 trades and your win rate is 43%.

Risk-reward (R:R) compares what you stand to gain with what you risk. If your stop is $20 away and your target is $50 away, that is 1:2.5. Traders often measure results in R, where 1R is the amount risked on a trade. A 2.5R winner earns two and a half times the risk.

Expectancy is the average result per trade:

Expectancy = (Win rate × Average win) − (Loss rate × Average loss)

Measured in R, a positive expectancy means the strategy makes money on average over many trades. A negative one means it loses, however good the win rate looks.

Profit factor is gross profit divided by gross loss. A profit factor of 1.0 is breakeven. Above 1.0 is profitable before you consider anything else; below 1.0 loses money.

A worked expectancy example

Take a simple illustrative strategy, not a real result:

• Win rate: 43%
• Average win: 2.5R
• Average loss: 1R

Expectancy = (0.43 × 2.5) − (0.57 × 1) = 1.075 − 0.57 = +0.505R per trade.

Over 100 trades, that is about +50R. At 1% risk, that is roughly 50% before compounding. The same maths with a 70% win rate but average wins of 0.4R and average losses of 1R gives (0.7 × 0.4) − (0.3 × 1) = −0.02R. That strategy wins most of its trades and still slowly loses money.

This is the trap many traders fall into. A high win rate feels good. Expectancy is what pays.

Breakeven win rate for each risk-reward ratio

For any fixed R:R, there is a minimum win rate you need just to break even (before costs). The formula is:

Breakeven win rate = 1 ÷ (1 + R)

where R is the reward divided by the risk.

Two practical points:

1. Costs raise the bar. Spread, commission and slippage come out of every trade. On gold, a tight stop means the spread is a larger share of your risk, so your real breakeven win rate climbs.
2. Targets are not results. A 1:3 target does not mean every winner makes 3R. Some trades hit breakeven, some are closed early, some run further. Always use your actual average win and loss.

How a 43% win rate gold model can be profitable

Our core XAUUSD model is a real example. On M15 broker data from July 2022 to September 2026, with spread and slippage on every trade, the hypothetical backtest produced:

• 146 trades
• 43% win rate
• +91R total, or about +0.62R per trade on average
• Profit factor 2.71
• Maximum drawdown 6.3R

It loses more trades than it wins. It is profitable because it lets winning trades run. The stops sit at market structure and the targets are not cut short. The full breakdown is on our 4-year performance page.

Our testing also showed what happens when you chase a higher win rate. Taking early partial profits at 1.5–2R, or closing half at the half-way point, feels safer and does lift the win rate. It also cut four-year returns by roughly 20–40%. Letting trades run longer before a time exit added about 10R. Tight stops (swing, FVG candle, 1×ATR) usually delivered around half the return with two to three times the drawdown.

In other words, most "improvements" that make a strategy feel more comfortable made it worse on the numbers.

Profit factor: what the number tells you

A profit factor of 2.71 means that for every $1 lost across all losing trades, the strategy made $2.71 across all winning trades.

Rough guide for interpreting it on a decent sample of trades:

• Below 1.0: losing strategy.
• 1.0–1.3: thin edge; costs or a small change in conditions can erase it.
• 1.3–2.0: a workable edge if the sample is large and costs are included.
• Above 2.0: strong, but check the sample size and whether one or two outlier trades are carrying the result.

That last check matters. In our research, one tight-stop version looked excellent only because of a single +68R trade. Remove it and the picture changed completely. A high profit factor from a few dozen trades should be treated as a hint, not a conclusion. Our post on backtesting ICT concepts explains how we check for this.

The psychology of a low win rate

A 43% win rate means losing streaks are normal. Over 146 trades you should expect runs of four, five or more losses. If you do not know that in advance, you are likely to abandon a good system at exactly the wrong time.

Ways to handle it:

• Know your numbers. Know your expected losing streak and your maximum drawdown in R before you start.
• Size for the streak. Risk small enough that a long streak is uncomfortable, not fatal. Our drawdown recovery maths post shows what different risk levels do.
• Judge in batches. Review results every 20–30 trades, not after each one.
• Watch the live record, losses included. Our live results page shows how the losing trades sit between the winners in real time.

Which matters more: win rate or risk-reward?

Neither on its own. They trade off against each other. Wider targets lower the win rate; closer targets raise it but shrink the average win. The right balance depends on how the market you trade actually moves.

For gold, which often trends hard once it breaks from a higher-timeframe level, our tests favoured structure-based stops and patient targets over high win rates. Other markets and styles can differ, which is why you should test your own rules rather than copy a ratio.

If you want to see how a lower-win-rate, higher-R approach looks in practice, our Pulse Signals follow this model; the plans page lists the options.

FAQ

Is a 40% win rate good in trading?

It can be. A 40% win rate is profitable if your average winner is more than 1.5 times your average loser, after costs. The win rate only means something next to the risk-reward.

What is a good risk-reward ratio for gold trading?

There is no single correct ratio. Many structure-based gold strategies aim for 1:2 or more, but what matters is the average R you actually achieve and your win rate at that ratio. Test it with costs included.

What is expectancy in trading?

Expectancy is the average amount you win or lose per trade, often measured in R. It is calculated as win rate times average win, minus loss rate times average loss. A positive expectancy over a large sample is the basic requirement for a profitable strategy.

What profit factor should a strategy have?

A profit factor above 1.0 means it made money in the test. Most traders look for something comfortably above 1.3 on a large sample with costs included, and they check that the result is not driven by a few outlier trades.

This article is educational and not financial advice. Trading gold and leveraged products carries a high risk of loss.

Trading involves substantial risk. This is educational content, not financial advice. See the risk disclosure.