What Is Risk-Reward Ratio in Forex?

The risk-reward ratio in forex compares the amount of money a trader stands to lose on a trade to the amount they stand to gain. It is expressed as a ratio, typically with the risk as the first number. A 1:2 risk-reward ratio means the trader risks $1 to make $2. A 1:3 ratio means $1 risked for $3 of potential profit.

Risk-reward is one of the two key inputs that determine whether a trading strategy is profitable over time. The other is the win rate, or the percentage of trades that close in profit. The two work together: a high win rate with a poor risk-reward ratio can be unprofitable, and a low win rate with a strong risk-reward ratio can be highly profitable. Neither measure alone tells the full story.

This article explains how risk-reward is calculated, what ratios are common, how it interacts with win rate to determine system profitability, and why the theoretical ratio at trade entry can differ from the realised ratio at trade exit.

How Risk-Reward Is Calculated

Risk-reward is calculated from three price levels: entry, stop loss, and take profit.

Risk is the distance from the entry price to the stop loss price, expressed in pips. This is the maximum loss the trader has committed to accept on the trade.

Reward is the distance from the entry price to the take profit price, expressed in pips. This is the planned profit if the trade reaches its target.

Risk-reward ratio is risk divided by reward, expressed as 1:X where X is the reward divided by the risk.

Worked example. A trader enters EUR/USD long at 1.0800 with a stop loss at 1.0750 and a take profit at 1.0950.

Risk: 50 pips (1.0800 minus 1.0750)
Reward: 150 pips (1.0950 minus 1.0800)
Ratio: 50:150, simplified to 1:3

If the same trade had a take profit at 1.0850, the ratio would be 50:50, or 1:1. If the stop were at 1.0700 instead, the risk would be 100 pips and the ratio at the original 1:0.50 take profit would change.

The ratio is independent of position size. A 1:3 setup is a 1:3 setup whether the trader risks $50 or $5,000.

Common Risk-Reward Ratios

Different trading styles favour different risk-reward profiles.

Scalping strategies often use a 1:1 or close-to-1:1 ratio, with both targets and stops within a few pips of entry. The strategy depends on a high win rate to be profitable.

Day trading strategies commonly aim for 1:1.5 to 1:2, balancing achievable targets against realistic win rates.

Swing trading strategies often target 1:2 to 1:3 or higher, accepting lower win rates in exchange for larger gains per winning trade.

Trend-following strategies sometimes pursue ratios of 1:5 or more on individual trades, accepting that the majority of trades will be losses while expecting the wins to be substantially larger.

There is no universally optimal ratio. The right ratio depends on the strategy’s natural win rate, the volatility of the pair, and the trader’s psychological tolerance for losing streaks.

Risk-Reward and Win Rate Together

Risk-reward and win rate combine to determine expectancy, the average profit or loss per trade. The simplified formula for breakeven win rate at a given risk-reward ratio is:

Breakeven win rate = 1 ÷ (1 + Reward-to-Risk ratio)

This produces the minimum win rate needed for the system to break even at that risk-reward ratio:

1:1 ratio: 50% breakeven win rate (1 ÷ 2)
1:2 ratio: 33.3% breakeven win rate (1 ÷ 3)
1:3 ratio: 25% breakeven win rate (1 ÷ 4)
1:4 ratio: 20% breakeven win rate (1 ÷ 5)
1:5 ratio: 16.7% breakeven win rate (1 ÷ 6)

Any win rate above the breakeven figure produces a profitable system, before costs. Any win rate below it is loss-making over a sufficient sample.

This relationship has several practical implications:

A trader with a 60% win rate and 1:1 risk-reward is profitable before costs
A trader with a 35% win rate and 1:3 risk-reward is profitable before costs
A trader with a 70% win rate and 1:0.5 risk-reward (rewards smaller than risks) is profitable before costs

The third example highlights why some scalping systems function: a very high win rate can carry a ratio worse than 1:1, provided the win rate stays high enough.

Theoretical vs Realised Risk-Reward

The risk-reward ratio set at trade entry is the theoretical or planned ratio. The realised ratio at trade close can differ for several reasons:

The stop loss may fill with slippage, increasing the actual loss beyond the planned risk
The take profit may fill as planned but not be reached on every winning trade; some winners close early at lower targets, reducing the realised reward
Spread and commission are paid in addition to the price-based risk and reward, eroding the ratio
Trailing stops can cause winners to close before reaching the original target, also reducing realised reward

Many trading journals track both planned and realised risk-reward to identify whether execution is degrading the theoretical edge. A system designed for 1:3 that consistently realises 1:1.5 due to manual exits is not behaving as designed.

Setting Stops and Targets Logically

Stops and targets should be placed based on price structure, not on a desired ratio.

A common mistake is to set a stop arbitrarily close to entry to achieve a high risk-reward ratio, only to find the stop is too tight for the pair’s normal noise and is hit frequently. The opposite mistake is to set a target far away from entry to inflate the planned ratio, only to find that the target is rarely reached.

A more disciplined approach is:

Identify the entry based on the strategy’s setup criteria
Place the stop loss at a level where the original trade thesis is invalidated, typically beyond a structural feature such as a recent swing high, support level, or volatility-based distance using ATR
Place the take profit at a level where the move is likely to encounter meaningful resistance
Calculate the resulting risk-reward ratio
If the ratio is below the strategy’s minimum acceptable threshold, skip the trade

This ensures that risk-reward is a screening criterion rather than a forced parameter.

Risk-Reward in Position Sizing

The risk-reward ratio also affects position sizing indirectly. With a fixed percentage of account risked per trade, a wider stop produces a smaller position size, and a tighter stop produces a larger position. The ratio is unchanged by position sizing, but the absolute dollar risk and reward are.

The standard formula for position size at a defined percentage risk per trade is:

Lot size = (Account equity × Risk percentage) ÷ (Stop loss in pips × Pip value per lot)

Example. A $10,000 account risking 1% per trade ($100) on a 50 pip stop with a $10 per pip standard lot pip value:

100 ÷ (50 × 10) = 0.2 lots

This sizing is independent of the take profit, but the take profit and resulting ratio determine the expected profit if the trade reaches target.

Frequently Asked Questions

What is a good risk-reward ratio in forex? There is no single right answer. Many traders target a minimum of 1:2, on the basis that this allows for a sub-50% win rate while remaining profitable. The right ratio depends on the strategy’s natural win rate and the pair’s volatility.

Can a 1:1 risk-reward ratio be profitable? Yes, provided the win rate is above 50% net of costs. Many scalping and intraday strategies operate at or near 1:1 with consistent profitability through high win rates.

Does a higher risk-reward ratio mean a better trade? Not on its own. A 1:10 setup that almost never reaches the target is worse than a 1:1.5 setup that frequently does. The expected value of the trade matters more than the ratio.

How do I calculate risk-reward in pips? Subtract the stop loss price from the entry price to get the risk in pips, then subtract the entry price from the take profit price to get the reward in pips. Divide risk by reward to express the ratio as 1:X.

Does spread affect risk-reward? Yes. A long position is opened at the ask price but the stop and target measure from where execution occurs. The spread effectively widens the risk and shrinks the reward by the spread amount on a long, and the reverse on a short. The effect is small on liquid majors but more significant on wider-spread pairs.

Is risk-reward more important than win rate? Neither is more important in isolation. They multiply together to determine expectancy. A system needs to be evaluated on both jointly. A trader can focus on improving either or both, but neither alone is sufficient.

Should risk-reward be the same on every trade? Not necessarily. Different setups within the same strategy can have different natural ratios. Many traders define a minimum acceptable ratio per setup type but allow the actual ratio to vary based on where logical stops and targets fall on the chart.