Risk/Reward Ratio and Break-Even Win Rate

Write the ratio in a clear direction

If a trade models USD 100 of price loss and USD 200 of price gain, risk:reward is 1:2. The reward-to-risk multiple is 2. Some resources reverse the order when naming the ratio, so identify the numerator and denominator rather than relying on the label.

Those numbers describe outcomes under assumptions. An attractive ratio does not establish how often the target will be reached, whether a stop will execute as expected, or whether the trade is suitable. Our risk/reward calculator uses cash amounts in a single currency, so prices and contract units must be converted before entry.

Include costs on both outcomes

Suppose the same trade has USD 10 of additional round-trip costs whether it wins or loses. The net winning outcome is 200 − 10 = USD 190. The losing outcome is a USD 100 price loss plus USD 10 costs, or USD 110 lost.

The net multiple is 190 ÷ 110 ≈ 1.7273, giving risk:reward of about 1:1.73. Do not enter a net result and subtract the same costs a second time. The tool assumes equal extra costs on winning and losing trades; real cost schedules may differ.

Derive the break-even win rate

Let W be the positive net gain on a winning trade and L the positive amount lost on a losing trade. With only those two fixed outcomes, break-even occurs when the winnings equal the losses.

With no costs, the USD 100/200 example needs 100 ÷ 300 = 33.3333%. With the costs above, it needs 110 ÷ 300 = 36.6667%. This is a threshold under the model, not an estimate of the win rate a strategy will achieve.

If costs equal the gross gain, winning trades return zero after those costs: only a 100% win rate breaks even in this two-outcome model. If costs exceed the gross gain, even the winning outcome loses money and no possible win rate can break even.

Check the assumed average outcome

At an assumed 40% win rate, the cost-adjusted example has an average outcome of 0.40 × 190 − 0.60 × 110 = USD 10 per trade. At 30%, it is 0.30 × 190 − 0.70 × 110 = −USD 20. These are independently calculated scenarios, not observed trading results.

Actual trades may have partial exits, variable losses, breakeven outcomes, changing costs and correlated results. A target-based payoff is not necessarily the realised average winner. A small historical sample is also an uncertain estimate of future win rate.

Use the result to question assumptions, not to infer a proven edge. See drawdown and recovery for a separate explanation of losses over an account path, and position sizing with costs before translating a scenario into lots.