TL;DR
The risk-reward ratio expresses how much potential profit you earn for every dollar you risk on a trade — a 1:2 ratio means you need to win only one trade in three to break even.
What Is Risk-Reward Ratio?
The risk-reward ratio (R:R) is the mathematical relationship between the maximum loss on a trade (defined by your stop loss) and the maximum target profit (defined by your take profit or target level). It is expressed as the amount risked relative to the amount targeted: a 1:2 risk-reward ratio means you risk 1 unit to potentially earn 2 units.
The power of risk-reward ratio lies in what it does to the math of long-run profitability. If your strategy has a 1:2 R:R, you only need a win rate above 34% to be profitable over time — you can be wrong on two out of every three trades and still make money. This is counterintuitive but mathematically certain: a high R:R ratio compensates for a low win rate, allowing profitable trading strategies to have accuracy well below 50%.
R:R ratio is most useful when calculated before entering a trade — it tells you whether the trade is worth taking relative to your stop level and realistic target. A trade with a 1:0.5 R:R means you risk $2 to make $1, requiring a win rate above 67% just to break even. Unless your strategy has genuinely proven win rates at that level, such trades should be skipped regardless of how compelling the setup looks.
Key Formula / Numbers
Risk = Entry Price - Stop Loss Price
Reward = Target Price - Entry Price
R:R Ratio = Risk : Reward
Break-Even Win Rate = 1 / (1 + R:R multiple)Break-even win rates by R:R:
| R:R Ratio | Minimum Win Rate to Break Even |
|---|---|
| 1:1 | 50% |
| 1:1.5 | 40% |
| 1:2 | 33% |
| 1:3 | 25% |
| 1:0.5 | 67% |
How Quantzee Uses This
Quantzee indicators provide defined entry zones and price levels that directly enable pre-trade R:R calculation. When the AI Adaptive Quant Toolkit signals an entry, it identifies both the invalidation level (stop) and the signal’s projected target zone — giving you the two numbers needed to calculate R:R before committing capital. Non-repainting signals are essential here: if stop and target levels are going to shift retroactively on historical bars, you cannot trust the R:R you calculated at entry to reflect what was genuinely available.
Common Mistakes
- Calculating R:R after entry, not before: The ratio has no use as a filter if you calculate it after deciding to trade. The discipline is to reject any trade where the R:R doesn’t meet your minimum threshold before entry.
- Moving stop losses to “give the trade more room”: This retroactively changes the R:R ratio and destroys the mathematical advantage of maintaining it. If your stop is in the right place at entry, it should stay there.
- Ignoring win rate in the R:R calculation: A 1:5 R:R sounds impressive until you realize that if your win rate on those setups is 5%, the strategy is a net loser. R:R and win rate must be evaluated together — the relevant metric is expected value per trade.
Related Terms
FAQ
What is a good risk-reward ratio for trading?
A minimum of 1:1.5 is generally required for a strategy to have positive expected value at realistic win rates; most professional systematic traders target 1:2 or better, which allows profitability at win rates as low as 33%.
Can a strategy be profitable with a low win rate?
Yes — if the R:R ratio is high enough. A strategy that wins 30% of the time but achieves 1:3 R:R on each winner has a positive expected value of 0.2R per trade and will be profitable over enough trades.
Should I use a fixed risk-reward ratio or adjust per trade?
Most systematic traders use a fixed minimum R:R as a filter (only take trades meeting or exceeding the threshold) while allowing the actual ratio to vary — rejecting any trade that falls below the minimum regardless of how good the setup looks.