Definition: what a “risk reward target” means in forex
A Risk Reward Target is a planning method that expresses how far a trade’s take-profit level is relative to its stop-loss level, using a ratio. In plain terms, it answers: “If price moves against my position until the stop, how does that distance compare to the distance until the target?”
In forex, this is usually framed using price levels (or distances) set before entry. The key idea is that the ratio is computed from the relationship between two movements in price, not from predicted market direction.
Mechanics: inputs and the basic sequence
The mechanism depends on what you start with. Many workflows use either (A) explicit price levels (entry, stop, target) or (B) distances (risk distance, reward distance). The calculation itself is the same: it compares the “risk” distance to the “reward” distance.
1) Choose the reference points
To compute a ratio, you need:
- Entry price: the price you intend to buy or sell at.
- Stop-loss level (or risk distance): the price level where you would exit to limit a loss.
- Take-profit level (or target distance): the price level where you would exit to realize a gain.
If you use distances instead of absolute levels, you still measure distances from the entry price.
2) Convert direction into positive distances
Because forex trades can be long (buy) or short (sell), the distance math must produce positive numbers.
- For a long (buy):
- Risk distance = entry − stop
- Reward distance = target − entry
- For a short (sell):
- Risk distance = stop − entry
- Reward distance = entry − target
These distances are what make the ratio comparable.
3) Compute the risk-reward ratio
A common form is:
- Risk Reward Target ratio = reward distance ÷ risk distance
If the reward distance is larger than the risk distance, the ratio is greater than 1. If it is equal, the ratio is 1. If the reward distance is smaller, the ratio is less than 1.
4) Translate distance into planned payoff (with an assumption)
The ratio describes distance, but traders often also want the planned monetary relationship. To do that, you typically need additional assumptions such as:
- Position size (e.g., trade volume).
- How profit/loss maps to movement (contract specifications and tick/value conventions).
A useful way to keep it verifiable is to treat the ratio as a distance relationship and note that monetary amounts depend on instrument specifics and the execution environment.
Evidence or example: a realistic, checkable scenario
Assume a simplified scenario using only price distances. No live data is required.
Scenario (long position)
- Entry price: 1.2000
- Stop-loss: 1.1980
- Take-profit: 1.2040
Step-by-step distances:
- Risk distance = entry − stop = 1.2000 − 1.1980 = 0.0020
- Reward distance = target − entry = 1.2040 − 1.2000 = 0.0040
- Risk Reward Target ratio = 0.0040 ÷ 0.0020 = 2
Interpretation (mechanics only): the take-profit is set at twice the price distance of the stop-loss.
Scenario (short position)
- Entry price: 1.2000
- Stop-loss: 1.2020
- Take-profit: 1.1960
Distances:
- Risk distance = stop − entry = 1.2020 − 1.2000 = 0.0020
- Reward distance = entry − target = 1.2000 − 1.1960 = 0.0040
- Ratio = 0.0040 ÷ 0.0020 = 2
This shows the same ratio emerges when the absolute distances match, even though the trade direction differs.
What the ratio does not prove
Even if the ratio is 2, the market still may not reach the take-profit, may reach the stop first, or may exit at a different effective price due to execution conditions. The ratio is a description of the predefined levels and their spacing.
Limitations and risks: where real-world results diverge
Risk Reward Target is sensitive to factors that change the realized distances and realized costs.
1) Execution costs and price spreads
In forex, the executable prices can differ from the reference entry/stop/target levels, especially when considering bid/ask spread. This can shift the effective risk or reward compared with the planned distance ratio.
2) Slippage and partial fills
If price moves quickly, the exit at stop-loss or take-profit may occur at a worse effective level than intended. That means the realized loss could be larger than implied by the planned risk distance, and the realized profit could be smaller than implied by the planned reward distance.
3) Volatility and changing market conditions
The ratio assumes that the predefined levels are the only relevant facts. In practice, market volatility and liquidity change over time. The probability of hitting one level versus another depends on more than the ratio.
4) Mapping distance to money is not universal
Even if the distance ratio is clear, the monetary outcome depends on contract specifications, tick/value conventions, and position sizing. Without those details, you can verify the distance ratio but not a complete profit/loss figure.
Verification and next question to ask
To independently verify whether a Risk Reward Target is computed correctly, you can:
- Confirm the distance direction logic (long vs short) produces positive risk and reward distances.
- Recalculate reward ÷ risk from the provided levels.
- Check whether the planned ratio assumes entry, stop, and target reference prices, not executable bid/ask prices.
A good next question is: “Which elements in my setup affect the effective fill prices (spread, slippage, or execution timing)?” That directly determines how closely realized outcomes match the planned risk-reward distance ratio.