Risk-Reward Ratio Explained: What 1:2 Really Requires

A trader who wins four trades in ten sounds like a failure. Pair that win rate with a genuine 1:2 risk-reward ratio and they compound steadily. Reverse it: a trader who wins seven in ten still loses money if the three losers are triple the size of the winners. Neither win rate nor ratio means anything alone, and nearly every misuse of risk-reward starts by forgetting that.

What the ratio actually measures

A risk-reward ratio compares planned loss to planned gain, measured before entry. Risk 40 pips to target 80 pips and you are trading 1:2, one unit of risk for two units of potential reward.

It is a property of the plan, not of the result. The result version is your realised ratio: average winning trade divided by average losing trade, computed from closed trades. The two numbers drift apart the moment you take partial profits, cut winners early, or eat slippage on stops, and only the realised number pays you.

The break-even table

For every ratio there is a win rate at which you earn exactly nothing. The formula is risk divided by the sum of risk and reward.

Read the 1:2 row honestly. It does not say you will be profitable. It says you break even winning one trade in three, before spread and commission, which nudge the real requirement a little higher.

A quick expectancy check shows the machinery. Risk 0.5% per trade at 1:2 with a 40% win rate: winners contribute 0.40 x 1.0% and losers cost 0.60 x 0.5%, for a net of plus 0.10% per trade. Small, but over 100 trades it is roughly 10% before costs, earned while losing more often than winning. Drop the win rate to 30% and the identical ratio produces minus 0.05% per trade. The ratio never changed; the edge appeared and vanished with the win rate.

What trading 1:2 implies day to day

A real 1:2 system with a 40% win rate loses six trades in ten. Runs of four straight losers have about a 13% chance of starting at any given trade, so they will appear regularly across a hundred trades. That losing texture is normal and has to be planned for, financially and emotionally.

On a funded account the plan is concrete: those routine streaks have to fit inside a daily loss limit, which makes the ratio inseparable from position sizing. A 1:2 strategy risked at 2% per trade has the same ratio as one risked at 0.5%, and nothing like the same survival odds.

The common misuses

Forcing the ratio. Stretching the target until the ticket says 1:3 does not make the market travel further. If your setup reliably reaches one and a half times the stop, pretending it reaches three times converts winners into break-even scratches and losers.

Shrinking the stop to flatter the ratio. Halving the stop doubles the stated ratio and parks the stop inside ordinary noise. The win rate collapses below the new break-even. The number on the ticket improved while the expectancy died.

Quoting planned, banking realised. Partials, early exits and slippage all shrink the ratio you actually collect. A trading journal that tracks average win against average loss reveals your true figure, and for most people it sits below the one they quote.

Ratio worship. Refusing a clean setup that offers 1:1.2 with a measured 60% win rate because of a 1:2 minimum is declining positive expectancy for a slogan. Rigid ratio rules with no win-rate evidence behind them are a quiet contributor to why traders fail prop firm challenges.

Choosing a ratio you can hold

Styles come with natural pairings. Mean reversion tends to deliver high win rates with modest ratios; trend and breakout trading delivers the opposite. Both work when the pair of numbers clears break-even with margin, and neither works because of one number alone.

So pick the style you can actually execute, collect at least 50 closed trades, and compare your realised ratio and win rate against the table. If the combination sits below break-even, the fix is rarely a further target. It is usually a better entry, a stop at true invalidation, or the discipline to let winners finish.

Frequently asked questions

Is a higher risk-reward ratio always better?

No. A higher ratio lowers the win rate you need, but distant targets are reached less often, so it usually lowers the win rate you get. The only test that matters is whether your measured win rate and realised ratio combine into positive expectancy after costs.

What is a realistic risk-reward ratio for day trading?

Intraday moves are bounded by the session's range, so very large ratios are rarely on offer. Many intraday approaches work between 1:1 and 1:2 and lean on win rate for their edge. Measure how far your setups actually travel instead of importing a number from someone else's style.

Can I be profitable with a 1:1 risk-reward ratio?

Yes, if your win rate sits sustainably above 50% with enough margin to cover spread and commission. Costs weigh relatively more at 1:1, so execution quality matters. A measured 58% win rate at true 1:1 is a real edge; an assumed one is not.

How do I find my real risk-reward ratio?

Divide your average winning trade by your average losing trade over your last 30 to 50 closed trades. If the result sits far below your planned ratio, the gap usually comes from cutting winners early or widening stops, and closing that gap is free expectancy.