Risk-Reward Ratio in Trading: How to Calculate It and Why 1:2 Isn't Always Enough

The risk-reward ratio in trading compares how much you stand to lose on a trade with how much you stand to make. Most traders learn to aim for 1:2 and stop thinking there, but the ratio only means something when you pair it with your win rate and the real cost of each trade. This guide shows how to calculate the ratio, what win rate each ratio needs, and where a "safe" 1:2 setup quietly turns into a losing one.

What Is the Risk-Reward Ratio in Trading?

The risk-reward ratio is the distance from your entry to your stop loss compared with the distance from your entry to your take profit. A trade risking 20 pips to make 40 pips has a risk-reward ratio of 1:2. You put one unit at risk for the chance of earning two.

The ratio is decided before you enter, which is what makes it useful. Once a trade is open, emotion pushes you to move stops and close winners early. A ratio fixed in advance gives you a standard to judge the setup against while you are still thinking clearly.

Risk-Reward vs Reward-to-Risk: Reading 1:2 and 2:1

Risk-reward and reward-to-risk describe the same trade written in opposite order. A risk-reward ratio of 1:2 and a reward-to-risk ratio of 2:1 both mean you risk one to make two. Some platforms and calculators show a single number instead, so "2.0" usually means reward divided by risk.

The confusion causes real mistakes. A trader who reads "1:3" as risking three to make one has flipped the trade's whole logic. When you see a ratio, check which side is the risk before you act on it.

How to Calculate the Risk-Reward Ratio Step by Step

You calculate the risk-reward ratio by dividing the potential reward by the potential risk, both measured from your entry price. In forex trading the distances are usually measured in pips, and on indices, gold or shares in points or dollars.

Here is a long EURUSD trade worked through:

1. Entry price: buy at 1.08500.

2. Stop loss: 1.08250. Risk = 1.08500 minus 1.08250 = 25 pips.

3. Take profit: 1.09000. Reward = 1.09000 minus 1.08500 = 50 pips.

4. Ratio: 50 divided by 25 = 2, so the risk-reward ratio is 1:2.

Turning pips into money makes the ratio concrete. EURUSD moves about $10 per pip on a standard lot, so a 0.4-lot position moves about $4 per pip. At 0.4 lots this trade risks about $100 to make about $200.

For a short trade the arithmetic flips direction. Sell at 1.08500 with a stop at 1.08750 and a target at 1.08000, and you are again risking 25 pips to make 50.

What Win Rate Do You Need? Breakeven Win Rate by Risk-Reward Ratio

The win rate you need to break even equals 1 divided by (1 + reward-to-risk). At 1:2 the breakeven win rate is 1 divided by 3, or 33.3%. Win more often than that and the strategy makes money before costs; win less and it loses.

The formula comes from balancing wins against losses. If you win a share W of your trades and each win pays R times your risk, your wins pay W multiplied by R and your losses cost (1 minus W). Setting those equal and solving gives W = 1 / (1 + R).

The table explains why ratio and win rate can't be judged apart. A 1:3 strategy that wins 22% of the time loses money. A 1:1 strategy that wins 58% of the time makes money. Neither number tells you anything alone.

Why a 1:2 Risk-Reward Ratio Isn't Always Enough

A 1:2 risk-reward ratio isn't always enough because trading costs, target distance and slippage all push your real results below the ratio you planned. The 33.3% breakeven figure assumes free trading, losses of exactly 1R and wins of exactly 2R. None of those hold on a live account.

Spreads and Commissions Shrink the Real Ratio

The spread shrinks every trade's reward and grows its risk when you draw the trade on a chart. MT5 charts show the Bid price, but a buy fills at the higher Ask, so your entry sits slightly above where you measured from.

Say EURUSD shows 1.08500 Bid and 1.08512 Ask, a 1.2-pip spread. You draw a stop 15 pips below the Bid at 1.08350 and a target 30 pips above it at 1.08800, which looks like a clean 1:2. Your real entry is 1.08512, so the real risk is 16.2 pips and the real reward is 28.8 pips. The true ratio is 1:1.78, and the breakeven win rate rises from 33.3% to 36.0%.

The cost hurts tight stops far more than wide ones. Every forex broker prices trading differently, through spread, commission or both, so run this calculation with the actual costs on your own account rather than a generic figure.

A scalper working 10-pip stops gives up far more edge to the spread than a swing trader working 100-pip stops, even though both call their trades "1:2".

Bigger Targets Get Hit Less Often

A take profit placed further away is reached less often than one placed closer. Stretching a target from 1:2 to 1:4 does not double your profit if the market only reaches that level on a fraction of the trades it used to. The ratio improves on paper while the win rate falls underneath it.

This is why a ratio chosen in isolation means little. A target has to sit where the chart gives price a realistic reason to travel, such as the next resistance level or a prior swing high.

Slippage Makes Some Losses Bigger Than 1R

A stop loss guarantees the exit trigger, not the exit price. During news releases and market gaps, a stop can fill several pips beyond its level. A 25-pip stop filled 5 pips late is a loss of 1.2R, and a few of those per month erode a strategy whose breakeven margin was already thin.

Trading Expectancy: Combining Win Rate and Risk-Reward

Trading expectancy is the average amount you make or lose per trade over a large sample, and it is the number that actually decides whether a strategy works. It applies the idea of expected value from probability: weight each outcome by how often it happens, then add the results.

The formula is: Expectancy = (Win rate × Average win) minus (Loss rate × Average loss). Expressed in R, where 1R is the amount you risk per trade, a positive result means the strategy earns money over time.

Take a strategy that wins 40% of the time at a true 1:2, risking $100 per trade. Over 100 trades, 40 winners make $8,000 and 60 losers cost $6,000, for a profit of $2,000. That is an expectancy of $20 per trade, or 0.2R.

Now apply the 1.2-pip spread from the 15/30 example, which drops the real ratio to 1:1.78. The 40 winners now make $7,120 while the 60 losers still cost $6,000, so profit falls to $1,120, or $11.20 per trade. The spread removed 44% of the strategy's edge without changing a single entry.

When a Lower Risk-Reward Ratio Still Works

A risk-reward ratio below 1:1 works when the win rate is high enough to cover it. A scalping strategy that wins 65% of trades at 1:0.8 has an expectancy of 0.65 × 0.8 minus 0.35 × 1, which is +0.17R per trade. That is a better result than many 1:2 strategies produce.

The reverse is also true. A trend-following strategy that wins 30% of the time loses money at 1:2, with an expectancy of minus 0.1R, but makes money at 1:3 with an expectancy of +0.2R. Trend followers need big ratios because they are wrong most of the time by design.

The rule "never take a trade below 1:2" is a simplification. The real rule is that your ratio and your win rate together must produce positive expectancy after costs. Your own trade history, not a rule of thumb, tells you which combination you have.

Risk-Reward Ratio and Position Sizing: A Worked Example

Position sizing turns the risk side of the ratio into a fixed amount of money, so every trade risks the same share of your account. The formula is: Lot size = Amount at risk ÷ (Stop distance in pips × Pip value per lot).

Take a trading account with a $5,000 balance and a rule of risking 1% per trade, which is $50. You want to buy EURUSD with a 25-pip stop. A standard lot of EURUSD is worth about $10 per pip, so the lot size is $50 ÷ (25 × $10) = 0.2 lots.

With a 50-pip target, that 0.2-lot position makes about $100 if it works, which is 2% of the account. The ratio stays 1:2 whatever the account size, while the position size changes with the balance and the stop distance.

Leverage does not change the risk-reward ratio. It only decides how much margin the position ties up. Two traders can hold the same 0.2-lot position with the same 25-pip stop on very different leverage settings and lose exactly the same $50 if the stop is hit. High leverage becomes dangerous when it tempts you into a lot size far beyond what your stop distance and risk rule allow.

How to Set Stop Loss and Take Profit for a Sound Risk-Reward Ratio

A sound risk-reward ratio comes from placing the stop where the trade idea is proven wrong and the target where the market has a reason to go, then checking whether the ratio between them is worth taking. You fit the ratio to the chart; you never stretch the chart to fit the ratio.

Suppose EURUSD trades at 1.08500 with support at 1.08200 and resistance at 1.08800. A logical stop sits just below support, at 1.08120 with a buffer, which is 38 pips of risk. The logical target sits just under resistance at 1.08780, which is 28 pips of reward. The ratio is about 1:0.74, so the trade isn't worth taking at this price.

You have two honest choices here. Skip the trade, or wait for a better entry closer to support, for example with a buy limit at 1.08300 that cuts the risk to 18 pips and raises the reward to 48 pips, a ratio of about 1:2.7. The dishonest choice is moving the target to 1.09260 because "1:2 is the rule", when nothing on the chart suggests price will get there.

The stop buffer should account for the spread, especially on short trades, which close on the Ask. If you trade tight levels often, comparing forex spreads on the pairs you trade most tells you how much buffer your stops really need.

Risk-Reward Ratio on Gold: An XAUUSD Example

The risk-reward ratio works the same way on gold, but the distances are measured in dollars per ounce instead of pips. On most MT5 accounts one standard lot of XAUUSD is 100 ounces, so a $1 move equals $100 per lot and $10 per 0.1 lot. Check the contract size in your symbol specification before trading, because it varies between providers.

Suppose you buy XAUUSD at $3,950.00 with a stop at $3,935.00 and a target at $3,995.00. The risk is $15 per ounce and the reward is $45 per ounce, a ratio of 1:3. At 0.1 lots that is $150 at risk to make $450.

Gold's daily range is often tens of dollars, so stops that look wide on a currency pair can be tight on gold. A $5 stop on XAUUSD gets hit by ordinary intraday noise surprisingly often. That is another way a good-looking ratio fails: the stop is too close to survive normal movement.

How to Measure the Risk-Reward Ratio on MT5

MT5 gives you two quick ways to measure risk and reward before you click Buy or Sell. The crosshair tool, opened with the middle mouse button or Ctrl+F, lets you drag from your entry to your stop or target and shows the distance in points along with the number of bars. On a five-digit currency pair, 10 points equal 1 pip.

The second way is to place the order with stop loss and take profit attached, then drag the SL and TP lines on the chart to the levels you want. MT5 updates the levels as you drag, and the Trade tab of the Toolbox shows your floating result once the position is open.

After the trade closes, the History tab is where the ratio gets tested. Export your closed trades, average your winners and your losers, and compare the realized ratio with the one you planned. Many traders find their planned 1:2 is really a 1:1.3 once early exits and late stops are counted.

Common Risk-Reward Ratio Mistakes Traders Make

The most damaging risk-reward mistake is moving the stop loss further away once the trade goes against you. A 1:2 trade with the stop pushed back by another 25 pips becomes a 1:1 trade, and you made that decision at the worst possible moment.

The second mistake is cutting winners short. Closing at +20 pips on a trade planned for +50 because the price paused turns a 1:2 strategy into a 1:0.8 strategy that needs a much higher win rate. If you want to lock in gains, decide in advance where you will take partial profit, and log it.

The third mistake is judging the ratio without the win rate. A trader proud of only taking 1:3 setups can still lose money steadily with a 20% win rate. The ratio is half of the equation.

The fourth mistake is planning in pips and forgetting costs. As the expectancy example showed, spread and commission can remove close to half of a thin edge, and they matter most on the short-term trades that beginners tend to favour.

Using the Risk-Reward Ratio as a Filter, Not a Promise

The risk-reward ratio is a filter for deciding which trades are worth taking, not a promise of profit. A 1:2 setup still loses whenever the stop is hit, and a strategy built on 1:2 trades still loses money if it wins too rarely or pays too much to trade.

Use the ratio together with your win rate, your real trading costs and a fixed risk per trade. Track realized results rather than planned ones, and let your own trade history tell you whether 1:2 is enough for the way you trade, or whether you need more.