Question 1

What is a good risk-reward ratio?

Accepted Answer

Most professional traders aim for at least 1:2 — risking $1 to make $2. A 1:3 ratio means you only need to win 25% of your trades to break even, making it very forgiving. The 'right' R:R depends on your strategy: scalpers can work with 1:1 if they have a 55%+ win rate, while swing traders typically need 1:2 or better.

Question 2

How do I calculate risk-reward ratio?

Accepted Answer

R:R = (Take-Profit − Entry) ÷ (Entry − Stop-Loss) for longs. For shorts, reverse: R:R = (Entry − Take-Profit) ÷ (Stop-Loss − Entry). This calculator handles both directions automatically. Always measure from your actual entry price, not from the current market price.

Question 3

Should I always use the same R:R?

Accepted Answer

Not necessarily. Scalpers may accept 1:1 with high win rates, while swing traders often target 1:3 or better. The key is that your average R:R × win rate must be profitable over time. Many professionals have a minimum R:R threshold (e.g., 'I never take a trade below 1:1.5') but will increase it for higher-conviction setups.

Question 4

What's the break-even win rate?

Accepted Answer

Break-even win rate = 1 ÷ (1 + R:R). For 1:2 R:R, you need to win 33% of trades. For 1:3, only 25%. This is why good R:R ratios matter more than high win rates. A trader with a 30% win rate but 1:4 R:R is more profitable than a trader with 60% win rate and 1:0.5 R:R.

Question 5

How does trading fees affect R:R?

Accepted Answer

Fees reduce your effective reward and increase your effective risk. A typical roundtrip (open + close) of 0.1% taker fees on a $10,000 position costs $20. On a tight 1:1 trade with $100 at risk, fees eat 20% of your profit. Always factor fees into your R:R calculation, especially for high-frequency trading or large positions.

Question 6

What is expectancy and how does it relate to R:R?

Accepted Answer

Expectancy = (Win Rate × Average Win) - (Loss Rate × Average Loss). A positive expectancy means your strategy makes money over time. R:R directly affects expectancy: with 1:2 R:R and 40% win rate, expectancy per dollar risked = (0.4 × $2) - (0.6 × $1) = +$0.20. You make $0.20 for every $1 risked.

Question 7

Is R:R more important than win rate?

Accepted Answer

Neither is more important in isolation — what matters is the combination. A system with 80% win rate but 1:0.2 R:R loses money. A system with 25% win rate but 1:5 R:R is very profitable. Track both metrics and calculate your expectancy to know if your trading is sustainable.

Question 8

How do I improve my R:R ratio?

Accepted Answer

Three ways: (1) Tighten your stop-loss by entering at better prices near support/resistance. (2) Extend your take-profit to the next major resistance or support level. (3) Avoid 'revenge trading' setups where you're forcing a trade that doesn't have a natural R:R above your threshold. Let the setup come to you.

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