Educational guide

Risk/Reward Ratio: Formula, Meaning and Limits

Risk/reward arithmetic compares the modeled distance to a stop with the modeled distance to a target. The ratio is useful for describing payoff geometry, but it does not tell you how often either outcome will occur.

Define the three values first

For a long model, entry sits between a lower stop and higher target. For a short model, entry sits between a higher stop and lower target. If the values are on the wrong sides, a ratio may still be numerically calculable but the model is logically inconsistent.

Two common ratio conventions

Some people say “risk/reward 1:2”; others calculate reward-to-risk and report “2.0”. They describe the same geometry if used consistently. PreBreakout displays reward-to-risk and also states the 1:R convention so the meaning is explicit.

Probability is a separate variable

A 1:3 payoff ratio can coexist with a low win rate; a 1:1 ratio can coexist with a high win rate. Without a probability estimate based on a defensible dataset, the ratio cannot tell you whether a strategy has positive expectancy.

Costs change the real outcome

Commissions, spreads, slippage, financing and taxes can change realized payoffs. The basic calculator leaves those out so the formula remains transparent. If costs matter to your use case, model them separately rather than assuming the displayed ratio is net.

Keep the distinction clear: a chart label describes geometry or past observations. It is not, by itself, a forecast, probability estimate or instruction to buy or sell.

Try the math yourself

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