Trade500

What Is Risk-Reward Ratio? How to Calculate It

By Trade500 Editorial Team · Updated 2026-04-06

Advertiser Disclosure: Trade500 may receive compensation when you click links and sign up with brokers featured on this site. This does not influence our ratings or reviews. Read our advertiser disclosure

What Is Risk-Reward Ratio?

Risk-reward ratio (R:R) is a measurement that compares the potential loss of a trade to its potential profit, calculated by dividing the distance from your entry to your stop-loss (risk) by the distance from your entry to your take-profit target (reward). A risk-reward ratio of 1:3 means you are risking $1 to potentially make $3.

Risk-reward ratio is one of the most important concepts in trading because it determines whether your strategy can be profitable over time — even with a modest win rate. A trader who wins only 40% of trades can still be consistently profitable if their average winner is three times their average loser. Conversely, a trader who wins 70% of trades can still lose money if their losses are significantly larger than their wins.

Every trade you take should have a calculated risk-reward ratio before you enter. This forces you to define your stop-loss and target in advance, removing the guesswork and emotional decision-making that destroy most trading accounts. If you are building your trading foundation, our risk management guide and trading plan guide cover the broader framework.

Risk warning: Forex and CFD trading carries significant risk. Between 74-89% of retail investor accounts lose money when trading CFDs. You should consider whether you can afford to take the high risk of losing your money.

How to Calculate Risk-Reward Ratio

The formula is straightforward:

Risk-Reward Ratio = (Entry Price - Stop-Loss Price) / (Take-Profit Price - Entry Price)

Long Trade Example

You buy EUR/USD at 1.0850 with a stop-loss at 1.0820 and a take-profit at 1.0940.

  • Risk: 1.0850 - 1.0820 = 30 pips
  • Reward: 1.0940 - 1.0850 = 90 pips
  • Risk-Reward Ratio: 30 / 90 = 1:3

For every $1 at risk, the potential return is $3.

Short Trade Example

You sell GBP/USD at 1.2650 with a stop-loss at 1.2700 and a take-profit at 1.2500.

  • Risk: 1.2700 - 1.2650 = 50 pips
  • Reward: 1.2650 - 1.2500 = 150 pips
  • Risk-Reward Ratio: 50 / 150 = 1:3

Use a pip calculator to convert pip distances into dollar amounts based on your position size and lot size.

Why Risk-Reward Ratio Determines Long-Term Profitability

The relationship between your win rate and risk-reward ratio determines whether you make or lose money over time:

| Risk-Reward Ratio | Breakeven Win Rate | Example: 100 Trades | |---|---|---| | 1:1 | 50% | Win 50, Lose 50 = Breakeven | | 1:2 | 33.3% | Win 34, Lose 66 = Slight profit | | 1:3 | 25% | Win 26, Lose 74 = Profit | | 1:4 | 20% | Win 21, Lose 79 = Profit | | 1:5 | 16.7% | Win 17, Lose 83 = Profit |

This table reveals a powerful truth: you do not need to be right most of the time to be profitable. With a 1:3 risk-reward ratio, you only need to win 1 out of every 4 trades to break even. Any win rate above 25% produces profit.

This is why professional traders obsess over risk-reward rather than win rate. A high win rate feels good psychologically, but it is meaningless if the losses wipe out the wins. In 2026, even AI-powered trading systems are designed around positive expectancy through favorable R:R ratios rather than chasing high win rates.

What Is a Good Risk-Reward Ratio?

There is no universally "correct" ratio — it depends on your win rate. However, most experienced traders aim for a minimum of 1:2:

| Trading Style | Typical R:R | Typical Win Rate | Works Because | |---|---|---|---| | Scalping | 1:1 to 1:1.5 | 55-70% | High win rate compensates for smaller reward | | Day trading | 1:1.5 to 1:2.5 | 45-60% | Balanced approach | | Swing trading | 1:2 to 1:4 | 35-50% | Larger moves justify lower win rate | | Position trading | 1:3 to 1:10 | 25-40% | Big winners offset frequent small losses |

The key principle: Your minimum acceptable risk-reward ratio must produce profitability at your historical win rate. Track your statistics and adjust accordingly.

How to Improve Your Risk-Reward Ratio

1. Tighten Your Stop-Loss

Place your stop-loss at a precise price action structure — just beyond a support/resistance level, below a pin bar's wick, or beyond a Fibonacci retracement zone. Tighter stops increase R:R but also increase the chance of being stopped out prematurely.

2. Use Better Entries

Enter at a more favorable price by waiting for a pullback rather than chasing a breakout. Use limit orders at key levels rather than market orders during momentum. A 10-pip improvement in entry on a 50-pip stop trade significantly changes the math.

3. Set Targets at Logical Levels

Your take-profit should be at a price where the market is likely to react — the next major resistance level, a Fibonacci extension, or a round number. If the nearest logical target only gives you 1:1, the trade may not be worth taking.

4. Use Partial Take-Profits

Take partial profits at the first logical target and move your stop to breakeven on the remainder. This locks in some profit while allowing the remaining position to capture a larger move, effectively improving your average risk-reward.

Risk-Reward in Practice: Full Trade Example

Setup: EUR/USD daily chart. Price pulls back to the 50% Fibonacci retracement at 1.0900, coinciding with horizontal support. A bullish pin bar forms. Daily trend is up.

Trade plan:

  • Entry: 1.0910 (above pin bar high)
  • Stop-loss: 1.0870 (below pin bar low) — 40 pips risk
  • Target 1: 1.0990 (recent swing high) — 80 pips reward
  • Target 2: 1.1050 (next resistance) — 140 pips reward

Risk-reward: To Target 1 = 1:2. To Target 2 = 1:3.5.

Position sizing ($10,000 account, 1% risk = $100): $100 / (40 pips x $10/pip) = 0.25 standard lots

Execution: Enter 0.25 lots. Close 0.15 lots at Target 1 ($120 profit, move stop to breakeven). Let 0.10 lots run to Target 2 ($140 if reached, breakeven if stopped). Total potential: $120-$260.

Risk-Reward Ratio vs. Expectancy

Risk-reward ratio evaluates individual trades. Expectancy measures your strategy's average profitability across all trades:

Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)

Example with a 40% win rate and 1:3 R:R (risking $100, targeting $300):

  • Expectancy = (0.40 x $300) - (0.60 x $100) = $120 - $60 = +$60 per trade

This means your strategy earns an average of $60 for every trade placed, regardless of whether each individual trade wins or loses. Positive expectancy is the mathematical foundation of profitable trading. A negative expectancy — no matter how high the win rate — loses money over time.

Common Mistakes With Risk-Reward Ratio

  1. Moving your stop-loss further away after entering. This destroys your planned R:R and increases your potential loss.
  2. Taking profits too early. Closing a 1:3 trade at 1:1 because you fear giving back profits undermines your strategy's edge.
  3. Only considering R:R without probability. A 1:10 trade is worthless if the probability of hitting the target is 2%. R:R must pair with realistic win rate expectations.
  4. Not tracking actual results. Many traders plan for 1:2 but their actual average is 1:0.8 because they exit early or move stops. Track real numbers in a trading journal.
  5. Forcing trades to meet a ratio. Setting an arbitrary 1:3 target regardless of market structure leads to targets that will never be reached. Let the chart dictate logical targets; skip the trade if the ratio is insufficient.

Frequently Asked Questions About Risk-Reward Ratio

What is the best risk-reward ratio for beginners?

Aim for a minimum of 1:2. This provides a significant margin for error — you can be wrong on more than half your trades and still break even. As you gain experience and track your win rate, fine-tune the ratio to match your actual performance.

Can I be profitable with a 1:1 risk-reward ratio?

Yes, but you need a win rate above 50% (accounting for spreads and commissions). Many scalpers are profitable with 1:1 R:R and win rates of 55-65%. It requires consistent execution and low trading costs from a quality broker. Check our best forex brokers for competitive pricing.

How do I calculate risk-reward ratio on a trading platform?

Most platforms display pip distance when you set stop-loss and take-profit levels. Divide the stop distance by the target distance. TradingView and some trading bots display R:R automatically when you set order levels. IG and eToro also offer built-in risk calculation tools.

Should I use the same risk-reward ratio on every trade?

Not necessarily. Your minimum acceptable ratio should be consistent, but each trade's specific R:R depends on market structure. A trade near major support might offer 1:4, while a trade in a tight range might only offer 1:1.5.

How does risk-reward ratio relate to position sizing?

R:R determines whether a trade is worth taking. Position sizing determines how much to risk in dollar terms. They work together: R:R evaluates trade quality, position sizing controls exposure. Both are essential components of risk management.

What if my stop-loss gets hit every time?

If you are consistently stopped out, the issue is likely: your stops are too tight (place them beyond meaningful price action levels), your entry timing is poor (wait for better confirmation), or you are trading against the trend.

Is risk-reward ratio the same as risk-return ratio?

The terms are often used interchangeably in trading. In academic finance, "risk-return" may have a more specific meaning related to portfolio theory. In practical trading, both refer to comparing potential loss to potential gain.

How do I track my actual risk-reward performance?

Keep a trading journal recording your entry, stop, target, and actual exit for every trade. After 50-100 trades, calculate your average winner, average loser, and win rate. This gives you your true R:R performance, which is often different from planned R:R.

FAQ

Yes, this guide is written for all experience levels. We start with the basics and progressively cover more advanced concepts.