Risk-Reward Ratio in Trading: Formula, Calculator and Examples

The risk-reward ratio is a trading-planning tool that compares the amount a trader could lose with the potential profit from a position. It can help determine stop-loss levels, profit targets and appropriate position sizes before a trade is opened. However, even an apparently attractive ratio does not predict whether the market will reach the target or guarantee that the strategy will be profitable.

This guide explains what is risk reward ratio in trading, how to calculate it, how to use a calculator and why the ratio must be considered alongside win rate.

Key Takeaways

• A 1:2 risk-to-reward ratio means risking one unit to pursue two units of potential reward.
• Risk is measured from the entry to the stop-loss, while reward is measured from the entry to the profit target.
• Entry, stop-loss and target prices are the essential inputs for a basic risk-reward ratio calculator.
• The ratio does not measure the probability that either the stop or target will be reached.
• A higher potential reward is not necessarily better if the target is unrealistic.
• Risk-reward planning should be combined with position sizing, trading costs and strategy testing.

What Is Risk-Reward Ratio in Trading?

The risk-reward ratio compares the potential loss on a trade with its potential profit. For example, a ratio of 1:2 means the trader plans to risk $1 for the possibility of earning $2.

The calculation has two components:

• Risk: The amount that could be lost if the trade reaches its stop-loss.
• Reward: The potential profit if the trade reaches its target.

Risk and reward can be measured in price points, pips, ticks, percentages or monetary amounts. As long as the same unit is used for both sides, the resulting ratio will be the same.

Consider a stock CFD with the following plan:

• Entry price: $50
• Stop-loss: $48
• Profit target: $54

The planned risk is $2 per unit, while the potential reward is $4. The risk-to-reward ratio is therefore 2:4, which simplifies to 1:2.

Traders can use this ratio to compare opportunities using a consistent unit of risk. It also encourages them to define the conditions for exiting a losing or winning trade before market movements and emotions begin influencing their decisions.

The ratio is only a planning measure. It does not reveal whether the analysis is correct, how likely the target is to be reached or whether the order will execute at the requested price.

Risk-to-Reward vs Reward-to-Risk

One source of confusion is that trading websites do not always use the same convention.

This article uses risk first and reward second. A 1:3 ratio therefore means risking one unit to target three units. The same opportunity could be described as a 3R target or a reward-to-risk multiple of 3.0.

This clarification matters because IG describes risking $100 to make $300 as 1:3 or 0.33, while some other resources describe the same trade as a 3:1 reward-to-risk ratio. Both can represent the same setup, but the convention must be identified before comparing figures.

How to Calculate Risk to Reward Ratio

The basic calculation begins with the distance between three prices: entry, stop-loss and profit target.

Risk per unit = |Entry price − Stop-loss price|

Potential reward per unit = |Profit target − Entry price|

Reward multiple = Potential reward ÷ Risk

The final ratio can then be displayed as:

Risk-to-reward ratio = 1 : Reward multiple

Absolute values make the calculation usable for both long and short positions.

Long Trade Example

Suppose a trader plans the following long position:

• Entry price: $100
• Stop-loss: $96
• Profit target: $108
• Quantity: 50 units

The risk per unit is:

$100 − $96 = $4

The potential reward per unit is:

$108 − $100 = $8

For 50 units, the planned monetary loss is $200, while the potential profit is $400. Dividing both amounts by $200 produces a 1:2 risk-to-reward ratio.

If the target is reached, the theoretical gain is 2R. If the stop is reached, the loss is 1R before trading costs and slippage.

Short Trade Example

The calculation can be reversed for a short position:

• Entry price: $100
• Stop-loss: $104
• Profit target: $92
• Quantity: 50 units

The stop is $4 above the entry, creating $4 of risk per unit. The target is $8 below the entry, creating $8 of potential reward. The resulting ratio is again 1:2.

For a short trade, the stop normally sits above the entry and the target below it. A calculator should flag a setup if these price levels have been entered incorrectly.

How Trading Costs Affect the Calculation

The simple formula produces a gross ratio. Actual trading results can also be affected by:

• Bid-ask spreads
• Commissions
• Overnight financing
• Contract rollover
• Currency-conversion charges
• Slippage
• Fees attached to specialised order types

Assume a trade has a gross potential profit of $200 and a planned loss of $100. At first, the ratio appears to be 1:2.

If estimated costs reduce the reward to $185 and increase the total potential loss to $115, the effective ratio becomes approximately 1:1.61. Costs have not changed the price target or stop, but they have changed the economic outcome.

The effect is particularly important for frequent trading and positions held overnight. Traders should compare both the gross ratio visible on the chart and the estimated net ratio after costs.

How to Use a Risk Reward Ratio Calculator

A risk reward ratio calculator converts entry, stop-loss and target prices into a standardised ratio. More advanced versions can also calculate monetary exposure, position size and the win rate required to break even.

A useful calculator should request:

• Long or short direction
• Entry price
• Stop-loss price
• Take-profit price
• Number of shares, contracts, lots or units
• Estimated spread and commission
• Account balance, if position sizing is included
• Maximum percentage of the account to risk

It should then display:

• Risk per unit
• Reward per unit
• Total monetary risk
• Potential monetary reward
• Risk-to-reward ratio
• Reward expressed in R
• Break-even win rate
• Estimated position size
• Net ratio after costs

Step-by-Step Calculator Guide

Select Long or Short
Identify whether the position is intended to benefit from a rising or falling market.

Enter the Entry Price
Use the planned order level rather than an approximate current price.

Add the Stop-Loss
Place it where the trade thesis would be invalidated, allowing for normal volatility.

Enter the Profit Target
Choose a level supported by market structure rather than an arbitrary multiple.

Add Quantity and Costs
Include the intended position size, spread, commission and other relevant charges.

Review the Results
Check the ratio, monetary exposure and theoretical break-even win rate.

Accept, Adjust or Reject the Trade
A weak result does not mean the stop should automatically be moved closer. The trade may simply not offer a suitable opportunity.

Markets.com provides a CFD trading calculator that estimates margin, spread, overnight swap and hypothetical profit or loss. These figures can complement the risk-reward calculation, although the tool should not be confused with a calculator dedicated exclusively to risk-to-reward ratios.

Calculating a Target From a Desired Ratio

If the entry and stop have already been identified, a trader can calculate the target associated with a desired reward multiple.

For a long trade:

Target = Entry + [(Entry − Stop) × Desired reward multiple]

For a short trade:

Target = Entry − [(Stop − Entry) × Desired reward multiple]

Suppose a long position has an entry of $50, a stop at $48 and a desired ratio of 1:3:

Target = $50 + [($50 − $48) × 3] = $56

The calculation shows where a 3R target would be located. It does not prove that $56 is realistic. If substantial resistance is located at $53, a target of $56 may have a low probability of being reached.

How Does Risk-Reward Ratio Work With Win Rate?

The ratio does not show how often a strategy wins. An opportunity offering five units of reward for one unit of risk can still lose money if the target is reached too rarely.

The theoretical break-even win rate is calculated as:

Break-even win rate = Risk ÷ (Risk + Reward) × 100

When risk is normalised to one unit:

Break-even win rate = 1 ÷ (1 + Reward multiple) × 100

These figures assume that every loss equals exactly 1R and every winning trade reaches its full target. They also exclude spreads, commissions and slippage. The practical break-even rate will therefore be slightly higher.

Risk-Reward and Trading Expectancy

Expectancy estimates the average result of a strategy over a series of trades:

Expectancy = (Win rate × Average win) − (Loss rate × Average loss)

Consider a strategy with a 40% win rate, an average winner of 2R and an average loss of 1R:

(0.40 × 2R) − (0.60 × 1R) = +0.20R per trade

The positive result means the strategy has a theoretical average return of 0.20R per trade before costs.

Now consider a strategy targeting 3R but winning only 20% of the time:

(0.20 × 3R) − (0.80 × 1R) = −0.20R per trade

Despite the more impressive headline ratio, the second strategy has negative expectancy. This is why ratio, win rate and average realised results must be evaluated together.

What Is a Good Risk-to-Reward Ratio?

There is no universally correct ratio. Ratios of 1:2 and 1:3 are common reference points, but they should not be treated as compulsory minimums.

A short-term strategy may use smaller targets and rely on a higher win rate. A trend-following strategy may accept more frequent losses while attempting to capture a small number of large moves. Different markets and volatility regimes may also require different stops and targets.

A realistic 1:1.5 opportunity can be more useful than an artificial 1:5 setup whose target is rarely reached. Investopedia identifies 1:3 as a commonly used benchmark while acknowledging that the appropriate ratio varies between strategies.

A good ratio is therefore one that:

• Is supported by the market’s price structure
• Produces positive expectancy with the strategy’s historical win rate
• Includes realistic trading costs
• Fits the trader’s risk tolerance
• Can be followed consistently

How to Set Stops, Targets and Position Size

Risk-reward planning should begin with analysis, not a desired number. A practical sequence is:

1. Identify the setup and proposed entry.
2. Determine where the analysis becomes invalid.
3. Place the stop around that invalidation level.
4. Identify a realistic target.
5. Calculate the ratio.
6. Calculate the appropriate position size.
7. Decide whether to accept or reject the trade.

Setting the Stop-Loss

A stop-loss may be based on:

• Previous support or resistance
• Swing highs and lows
• Chart-pattern invalidation
• Volatility measures such as Average True Range
• A predetermined monetary or percentage limit

The stop should reflect the trade thesis. Moving it unusually close to the entry merely to improve the ratio can place it inside normal market noise, increasing the likelihood of premature closure.

Our guide to support and resistance trading explains how traders use previous price levels when planning entries and stops.

A regular stop-loss also does not guarantee execution at the requested level. If the market gaps or moves rapidly, the order may fill at a worse price, making the realised loss larger than planned.

Setting the Profit Target

Potential methods include:

• Previous support or resistance
• Measured chart-pattern objectives
• Volatility-based projections
• A fixed R multiple supported by price structure
• Trailing stops
• Several partial profit targets

Partial exits change the realised ratio. If half a position closes at 1R and the other half at 3R, the average reward is 2R—not 3R. A trailing stop may also close the position before its original target or allow it to capture a larger move.

Readers can review the differences between stop, limit and trailing-stop orders before choosing an exit method.

Calculating Position Size

The ratio describes the relationship between potential loss and reward. It does not specify how much capital should be exposed.

Position size = Maximum monetary risk ÷ Risk per unit

For example:

• Account balance: $10,000
• Maximum account risk: 1%, or $100
• Entry price: $50
• Stop-loss: $48
• Risk per unit: $2
• Position size: $100 ÷ $2 = 50 units

A target at $54 creates a potential profit of $200, producing a 1:2 ratio. If the trader bought 500 units instead, the ratio would remain 1:2, but the monetary risk would rise from $100 to $1,000.

This distinction is essential. A favourable ratio cannot protect an account if the position is too large. The Markets.com guide to position sizing in trading explains the calculation in more detail.

Common Risk-Reward Ratio Mistakes and Limitations

The ratio is useful only when its inputs are realistic. Common mistakes include:

• Confusing notation: Reading a reward-to-risk figure as though it were risk-to-reward.
• Ignoring probability: Assuming a large target automatically creates a better opportunity.
• Forcing the calculation: Moving a target beyond realistic resistance to obtain 1:3 or 1:4.
• Using an arbitrary stop: Placing it too close to the entry to improve the displayed ratio.
• Ignoring costs: Calculating the gross result without spreads, commission or financing.
• Assuming exact execution: Forgetting that gaps and slippage can increase losses.
• Widening the stop: Increasing risk after the trade has already been opened.
• Confusing planned and realised results: Ignoring early exits, partial profits and slippage.
• Using one ratio everywhere: Applying the same threshold to markets with different volatility.
• Reviewing too few trades: Drawing conclusions from a small or selectively chosen sample.

Risk-reward analysis also does not measure portfolio correlation. Five separate positions can create concentrated risk if they are all driven by the same currency, sector or economic event.

Nor does the ratio evaluate the quality of the trading signal. A randomly chosen trade can display a mathematically attractive ratio, but that does not create a repeatable edge.

The most useful approach is to compare planned ratios with actual results in a trading journal. Over time, traders can determine their average win, average loss, win rate, trading costs and expectancy.

How to Apply Risk-Reward Planning to CFD Trades

CFDs allow traders to take long or short positions using margin. Because leverage increases exposure relative to the deposited capital, the entry, stop, target and position size should be planned before the trade is placed.

Markets.com offers CFD access across multiple asset classes, subject to the relevant entity and jurisdiction. Its platform includes charts, technical indicators, price alerts and order controls. The CFD calculator can also estimate margin, spread, financing and hypothetical profit or loss.

These tools support planning but cannot identify a guaranteed opportunity. Traders should understand risk-management fundamentals and the effect of leverage before trading with real capital.

Step 1: Identify the Setup

Define the reason for entering, such as a breakout, trend continuation or reversal. Identify the price level that would invalidate the analysis.

Step 2: Set the Stop-Loss

Place the stop according to market structure and expected volatility. Calculate the distance between the entry and stop.

Step 3: Choose a Realistic Target

Use support, resistance, volatility or another repeatable method. Do not extend the target purely to create a larger ratio.

Step 4: Calculate Risk, Reward and Costs

Calculate the gross ratio before adjusting for the spread, commission, financing and possible slippage. Then determine the corresponding break-even win rate.

Step 5: Calculate the Position Size

Decide the maximum account-level loss and divide it by the risk per unit. Confirm that the margin requirement remains manageable.

Step 6: Place the CFD Trade

Choose Buy for a long position or Sell for a short position. Add the planned stop-loss and take-profit instructions where available. Markets.com provides a separate guide explaining how to place an order.

Step 7: Review the Result

Record the planned ratio, realised ratio, costs and whether the original rules were followed. Evaluate the process across a series of trades instead of judging it by one winning or losing position.

Markets.com provides charting, calculation and order-management tools that can help traders implement a predefined risk plan. However, CFDs remain complex leveraged instruments, and losses can accumulate rapidly.

Final Thoughts

The risk-reward ratio compares planned downside with potential upside, but it should never be used on its own. A useful calculation requires a credible stop, a realistic target and an appropriately sized position.

Traders must also consider win rate, execution, costs and average realised outcomes. A large theoretical reward does not compensate for an improbable target or a poorly tested strategy. The ratio becomes most valuable when it forms part of a repeatable process covering analysis, position sizing, order placement and post-trade review.

FAQs

What Is a Good Risk-to-Reward Ratio?

Ratios of 1:2 and 1:3 are common benchmarks, but there is no universally good ratio. The appropriate level depends on the strategy’s win rate, trading costs, volatility and target probability. No fixed ratio guarantees profitability.

What Does a 1.5 Risk-Reward Ratio Mean?

If expressed as 1:1.5 risk-to-reward, it means risking one unit to target 1.5 units. For example, a trader risking $100 would target $150. The theoretical break-even win rate is 40% before costs.

What Does a 1:1 Risk-Reward Ratio Mean?

A 1:1 ratio means the potential loss and reward are equal. Risking $100 would target a $100 profit. The theoretical break-even win rate is 50%, but the actual rate must be higher after trading costs.

What Is a Risk-Reward Ratio?

It is a calculation comparing the amount a trader plans to lose if a position reaches its stop with the potential profit if it reaches its target. It is used to evaluate and plan a trade before entry.

What Win Rate Is Needed for a 1:2 Risk-Reward Ratio?

A 1:2 ratio has a theoretical break-even win rate of approximately 33.3%. Spreads, commissions, financing and slippage increase the practical win rate required to break even.

Does a Higher Risk-Reward Ratio Mean a Better Trade?

Not necessarily. A higher ratio may result from an unrealistic target or an excessively tight stop. Probability, price structure, volatility, execution and trading costs must also be considered.

Sources

• IG: Risk-Reward Ratio—What It Is and Why It Matters
• Investopedia: Understanding the Risk/Reward Ratio
• CMC Markets: Risk/Reward Ratio for Trading Financial Markets
• Markets.com: Position Sizing in Trading
• Markets.com: CFD Trading Calculator