Risk management

Risk-Reward and Win Rate: Which One Decides Your Profit

Astron Team · 09/24/2026 · 4 min read

There's a piece of advice repeated in almost every trading group: "always look for a risk-reward ratio of at least 1 to 3". On its own, the advice isn't wrong, but it also isn't the whole truth. It came from trend strategies, which win rarely but win big when they do. Applied to any style, that number becomes a problem.

The risk-reward ratio alone says almost nothing about whether a trade is worth it. It only makes sense when combined with that setup's real win rate. A 1:1 trade with a 60% win rate ends up more profitable than a 1:4 trade with a 20% win rate — even though it looks, at first glance, far less ambitious.

What the risk-reward ratio is

The risk-reward ratio compares how much is risked on a trade with how much is expected to be gained, measured at the moment of entry, before anything happens. For a buy, the formula is:

Risk-reward = (target − entry) ÷ (entry − stop)

A worked example: a trader buys EUR/USD at 1.0850, sets the stop at 1.0820, and the target at 1.0910. The risk is 30 pips (1.0850 − 1.0820) and the potential return is 60 pips (1.0910 − 1.0850). Dividing 60 by 30, the ratio is 1:2 — for every dollar risked, the potential gain is two dollars.

The table that changes how you think about risk

Before deciding "which risk-reward to aim for", you need to answer a simpler question: how often does the strategy need to win to, at minimum, break even? The breakeven win rate formula is:

Breakeven rate = 1 ÷ (1 + risk-reward ratio)

• 1:1 — breakeven at a 50% win rate. Anything above 52-53% (after costs) is already profitable.
• 1:2 — breakeven at a 33.3% win rate. A strategy that wins 45% of the time already operates with a good margin.
• 1:3 — breakeven at a 25% win rate. Looks easy on paper, but requires holding through streaks of six, seven, eight losses in a row without giving up on the method.
• 1:5 — breakeven at just a 16.7% win rate. Few discretionary strategies sustain this target consistently, because price rarely travels that far relative to the risk taken.

Expectancy: the number that combines both variables

Expectancy per trade, in multiples of risk (R), is calculated like this:

Expectancy = (win rate × risk-reward ratio) − (1 − win rate)

Applying this to a concrete example: a strategy with a 1:2 ratio and a 50% win rate has an expectancy of (0.5 × 2) − 0.5 = +0.5R per trade. If each R is worth R$ 100 (the fixed risk per trade on a R$ 10,000 account with 1% risk), that equals R$ 50 of expected profit per trade, on average, over many repetitions.

Now compare it with a 1:1 strategy with a 60% win rate: expectancy of (0.6 × 1) − 0.4 = +0.2R, or R$ 20 per trade in the same example. Less per trade, but if this strategy generates twice as many signals in the same period, the final result can be higher. That's why blindly chasing a high risk-reward ratio, without considering the setup's real win rate, can be worse than trading more modest, consistent targets.

Why the benchmark changes by trading style

A very short-term trader who forces 1:3 ratios will likely discard most legitimate signals from their own method, because the market rarely moves that far in the time frame they trade. A trend trader who accepts 1:1 ratios, on the other hand, may be leaving money on the table, because their naturally lower win rate requires bigger targets to offset the losses.

The right benchmark doesn't come from a generic rule found online — it comes from the trader's own track record. That's where the importance of logging every trade comes in: without knowing a setup's real win rate, the risk-reward ratio is just a nice-looking number on paper.

Putting this into practice

Before setting a target, work backward: calculate the breakeven win rate of the ratio you're thinking of using and honestly ask whether your setup historically hits that number. If the answer is yes, the trade has a mathematical edge. If it's no, no amount of emotional discipline fixes a negative expectancy — the adjustment needs to come from the target, the stop, or the trade selection. The risk-reward ratio remains an essential tool, but it only delivers real value when read alongside the win rate, never alone. It's also worth remembering that trading always involves risk of loss, and no expectancy formula guarantees a result over a small number of trades — the effect only shows up with consistency over time.