Direct answer: what is a good risk reward ratio in forex?
In forex, a “good” risk reward ratio usually means a setup where the planned reward is larger than the planned risk, using consistent levels for risk and reward (for example, a stop level for risk and a target level for reward). Many traders consider ratios where reward is at least comparable to or greater than risk—often discussed as 1:1 and higher—but there is no single ratio that is objectively “best” for every situation.
A practical way to view it is: the risk reward ratio is a planning input, not a promise. Whether a ratio is “good” depends on how you measure risk and reward, plus real-world frictions like spreads, swaps, slippage, and whether your stops and targets are realistically reachable.
Explanation: what the risk reward ratio means and how it works
The risk reward ratio (RR) is typically expressed as:
- RR = Reward / Risk
To use it in forex, you must define the three price-related components clearly:
- Risk amount: the distance (or monetary loss) from your entry to your stop level.
- Reward amount: the distance (or monetary gain) from your entry to your target level.
- Consistency of measurement: the same position size and unit of measure should apply when comparing risk and reward.
Examples of common interpretations:
- RR = 1 means the planned reward equals the planned risk.
- RR = 2 means planned reward is twice planned risk.
- RR = 0.5 means planned reward is half planned risk.
Because forex trades are uncertain, the ratio does not control outcomes. It only describes the relationship between two planned distances. Two traders can both use “RR = 2” but with very different practical results if their execution quality or level placement differs.
Example or checks: how to decide if a ratio is “good” for your planning
Since there is no universal answer, you can verify whether a chosen RR is reasonable using checks that don’t require predicting future results:
- Check definition quality: Are your stop and target levels based on a consistent method, not arbitrary distances?
- Check cost impact: If the expected gain is only slightly larger than the costs (spread, commissions, swaps), the “reward” side can be reduced in practice.
- Check symmetry and feasibility: If your target is far away but your stop is tight, small execution differences can matter more.
- Check historical plausibility (without guarantees): Use past price behavior and your own recorded execution to see whether stops and targets were reached in a way that makes sense with your RR definitions.
A useful concept here is that higher RR can lower the required win rate under simplified assumptions, but that advantage can be offset by a higher chance that the market reaches the stop before the target, or by increased sensitivity to real execution.
Limitations and risks: why “good” is not fixed
- No guarantee from RR alone: A ratio describes a relationship between distances, not the probability of hitting the target.
- Assumption sensitivity: RR calculations often assume exact level behavior, which may not match slippage or fast price moves.
- Costs matter: Even if reward is larger than risk on paper, spreads, swaps, and other costs can change the effective outcome.
- Model uncertainty: Any evaluation based on limited history or backtests can misrepresent future conditions.
So, the safest, most verifiable conclusion is: a “good” forex risk reward ratio is one where the reward is meaningfully larger than the risk under your own consistent measurement and realistic cost/execution assumptions, and where your evaluation focuses on uncertainty rather than predicted results.