"Never take a trade below 1:2 risk-reward" is repeated so often it's treated as gospel. It's a reasonable default for beginners, but it isn't a law of profitable trading — win rate and risk-reward are a pair, and optimizing one in isolation without the other is how the rule gets misapplied.
The Math the Rule Skips
A strategy is profitable when (win rate × average win) exceeds (loss rate × average loss). A 1:1 risk-reward setup with a 60% win rate is more profitable over a large sample than a 1:3 setup with a 25% win rate, even though the second one "sounds" more disciplined on paper.
Both strategies above produce a similar long-run expectancy. Neither is objectively "more correct" — they suit different trading styles, different holding periods, and different psychological tolerances for long losing streaks (which the lower-win-rate strategy will produce more often, even while remaining profitable overall).
"Risk-reward without win rate is half an equation. Trading on half an equation is how disciplined-sounding rules produce undisciplined results."
A Better Way to Frame It
- Know your actual win rate from journaled history before choosing a target risk-reward ratio — don't guess it
- A high win rate, low R:R style suits traders who struggle psychologically with long losing streaks
- A low win rate, high R:R style requires genuine discipline to sit through drawdowns without abandoning the system
- Recalculate expectancy periodically — a strategy's true win rate drifts over time as market conditions change
The rule isn't wrong so much as incomplete. Use it as a starting heuristic while you build your own journaled data, then let your actual numbers — not the general rule — tell you what ratio fits your system.
