A 1:2 Risk-Reward Means Nothing on Its Own.
By CryptoTraders · Strategy · 2026-09-20
Somewhere along the way, risk-reward ratios became moral instruction. Never risk one to make one. Always demand at least 1:2. Gurus repeat it, course slides canonise it, and traders skip perfectly good setups because the measured target only offered 1.4. All of it rests on a mistake you can dispose of with one line of arithmetic.
The arithmetic
A trade's expectancy is its average R per attempt: win rate times average win, minus loss rate times average loss, the formula from our R-multiples post. Ratio and win rate are the two halves, and neither means anything alone. A 1:5 ratio that wins 15% of the time is a losing strategy, minus a tenth of an R per trade, forever. A 1:1 ratio that wins 60% of the time earns a fifth of an R per trade, which compounded across two hundred trades a year at 1% risk is a serious annual return. The 1:1 system that the rule forbids beats the 1:5 system that the rule celebrates, and no ratio, however handsome, contains the information needed to know that in advance.
The reason the myth survives is that the ratio is the half you can see on the chart before entry, drawn with a rectangle tool, while the win rate is the half you can only earn through recorded history. People optimise what is visible. The market pays what is true.
The real coupling
Worse than incomplete, the two halves are coupled: stretching the ratio mechanically lowers the win rate. Move your target from 1.5R to 3R on the same setup and price now has to travel twice as far, through more structure, more sweeps, more sessions, so fewer trades arrive. Widen the ratio by tightening the stop instead and you have moved the stop inside the noise band, into the sweep zone the stop-placement post warned about, and the win rate falls again. There is no free lunch in the geometry, only a trade-shape decision: high-frequency modest ratios suit mean-reversion setups, low-frequency long ratios suit trends, and both can carry identical expectancy while looking nothing alike.
What to do instead
Let the chart set both numbers honestly: the stop where the idea is wrong, the target where the setup actually reaches, structure to structure, not where a ratio demands they be. Then judge the pairing by recorded expectancy, thirty-plus logged trades per setup type in the journal, the discipline from the journal post. Skip setups whose honest geometry is poor, certainly, but skip them because the numbers say the pairing loses, not because a slogan rounded the answer for you. The ratio is an ingredient. Expectancy is the dish.
Our algos are built on exactly this logic, which is why signals ship with ATR-scaled stops and staged targets measured from structure, and why performance is reported as realized R across every trade rather than as the ratios the trades were drawn with. The drawn ratio is a promise. The track record is what got kept.