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Risk-reward ratio explained

Updated 11 October 2026

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The risk-reward ratio compares how much you stand to lose on a trade with how much you hope to gain. It is set before you enter, using your entry price, your stop-loss and your target. It does not tell you whether a trade will work. It tells you what the trade has to achieve to be worth taking.

The formula

For a short trade, flip the signs: risk is stop − entry, reward is entry − target. People write the ratio in different ways, such as "1:3" or "3R". Both here mean you aim to make three rupees for every one rupee you risk.

Worked example

You plan to buy Stock ABC at ₹500 with a stop at ₹490 and a target at ₹530.

If you buy 200 shares, you risk 200 × ₹10 = ₹2,000 to try for 200 × ₹30 = ₹6,000. The risk-reward calculator does this for any prices.

Break-even win rate

A higher R lets you be wrong more often and still break even. The formula is simple:

Break-even win rate = 1 ÷ (1 + R)

For R = 3, that is 1 ÷ 4 = 25%. Over many trades, if you win 25% of the time and every win is three times every loss, you end at zero before costs. Check: in 100 trades, 25 wins × ₹6,000 = ₹1,50,000, and 75 losses × ₹2,000 = ₹1,50,000. They cancel exactly.

R (reward ÷ risk)Break-even win rate
0.566.7%
150%
1.540%
233.3%
325%

Why a high R is not automatically better

It is tempting to set far targets so the ratio looks good. The catch is that a far target is reached less often. A 1:5 trade only needs a 16.7% win rate to break even, but if the target is unrealistic you may hit it even less than that. R and win rate pull against each other, and only your own honest records show where you stand.

The other catch is that a stop is not always filled at your price. Gaps and fast markets can turn a planned ₹10 loss into ₹25. If that happens often, your real R is lower than your planned R.

Costs move the break-even point

Brokerage, STT, exchange charges, GST and stamp duty are paid on wins and losses alike. Suppose costs are ₹200 per round trip on the trade above. A win now nets ₹6,000 − ₹200 = ₹5,800, and a loss costs ₹2,000 + ₹200 = ₹2,200. The effective R becomes 5,800 ÷ 2,200 ≈ 2.64, and the break-even win rate rises to 1 ÷ 3.64 ≈ 27.5%. For small, frequent trades costs can wipe out an edge entirely. See trading charges explained or estimate them with the brokerage calculator.

Expectancy: putting R and win rate together

Expectancy is the average result per trade over many trades:

Expectancy = (win rate × average win) − (loss rate × average loss)

As a purely hypothetical illustration, take 1:2 trades risking ₹1,000. If 30% win, expectancy = 0.30 × ₹2,000 − 0.70 × ₹1,000 = ₹600 − ₹700 = −₹100 per trade, before costs. The ratio looked fine, but the win rate was below the 33.3% break-even. This is why R alone says little; it needs a win rate you actually achieve.

Using the ratio sensibly

Risk reminder

A good ratio is not a promise of profit. SEBI's studies (2023 and 2025) found about 9 in 10 individual F&O traders lost money in the years studied (SEBI). Use the ratio to understand what a trade needs, and keep each loss small enough to live with.

Questions people ask

What is a good risk-reward ratio?
There is no single good number. A ratio only makes sense alongside the win rate you actually achieve and your trading costs.
How do I calculate the break-even win rate?
Divide 1 by (1 + R), where R is reward divided by risk. For R = 2 that is 1 ÷ 3, or about 33.3%.
Do trading costs change the ratio?
Yes. Costs reduce every win and add to every loss, which lowers the effective ratio and raises the break-even win rate.
Is 1:1 risk-reward bad?
Not necessarily. At 1:1 you need to win more than 50% of the time after costs to come out ahead, which is hard but depends on the setup.

Sources

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