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Risk-Reward Ratio Calculator for Crypto Trades

Educational tool. Not investment or tax advice.

Risk Amount

₹3,000.00

Potential Reward

₹9,000.00

Risk-Reward Ratio

1:3.00

Break-even Win Rate

25.00%

Risk Percentage

3.00%

Reward Percentage

9.00%

Risk-Reward Ratio After Fees*:

1:2.75

*Trading fee is charged on entry and on exit. The six results above are before fees. Excludes slippage, funding and tax.



Enter your entry, stop-loss and take-profit. In one click you get your risk-to-reward ratio, the win rate you need just to break even, your expected value per trade – and, unlike most calculators, the same numbers after fees and Indian crypto tax. Works for long and short, spot and futures. Free, no signup.

Quick answer: The risk-reward ratio compares how much you can lose on a trade with how much you can gain. R:R = |Take-profit − Entry| ÷ |Entry − Stop-loss|. Entry ₹60,00,000, stop ₹58,20,000, target ₹65,40,000 gives ₹1,80,000 risk and ₹5,40,000 reward: a 1:3 ratio, which breaks even at a 25% win rate.

What Is the Risk-Reward Ratio in Crypto?

The risk-reward ratio (R:R) tells you how many rupees you stand to gain for every rupee you risk. It is calculated before you enter, from three prices you choose: entry, stop-loss and take-profit.

A small point that confuses many beginners: some websites write the ratio as risk ÷ reward (a good trade shows as 0.33), others as reward ÷ risk (a good trade shows as 3.0). Both describe the same trade. This calculator shows both so you never have to guess: 1:3 means “risk 1 to make 3”, and the same trade is 3.0R.

The Formulas

Risk (per coin) = |Entry − Stop-loss|
Reward (per coin) = |Take-profit − Entry|
R:R = Reward ÷ Risk
Break-even win rate = 1 ÷ (1 + R:R), or Risk ÷ (Risk + Reward)
Expectancy (in R) = (Win rate × R:R) − (1 − Win rate)
Target price for a chosen R:R (long) = Entry + (R × Risk)

The same formulas work for shorts: the stop sits above entry and the target below it.

Worked example 1 – Long BTC

Illustrative prices.

  • Entry ₹60,00,000 · Stop-loss ₹58,20,000 → risk ₹1,80,000 (3%)
  • Take-profit ₹65,40,000 → reward ₹5,40,000 (9%)
  • R:R = 5,40,000 ÷ 1,80,000 = 1:3
  • Break-even win rate = 1 ÷ 4 = 25%

Worked example 2 – Short ETH

  • Entry ₹2,50,000 · Stop-loss ₹2,60,000 → risk ₹10,000
  • Take-profit ₹2,30,000 → reward ₹20,000
  • R:R = 1:2, break-even win rate 33.3%

Worked example 3 – Reverse mode

You long ETH at ₹2,50,000 with a stop at ₹2,40,000 and want at least 1:2. Target = 2,50,000 + (2 × 10,000) = ₹2,70,000. If the chart shows resistance at ₹2,64,000, the trade only offers 1:1.4. Skip it or look for a better entry.

R:R and Win Rate: The Table Every Trader Should Know

R:RBreak-even win rateExpectancy at 40% win rate
1:150%−0.20R (losing)
1:1.540%0.00R (break-even)
1:233.3%+0.20R
1:325%+0.60R
1:420%+1.00R
1:516.7%+1.40R

Two takeaways. A strategy can win less than half its trades and still be profitable if winners are bigger than losers. And a high R:R means nothing if your target is unrealistic: a 1:5 trade that almost never reaches the target has a worse expectancy than an honest 1:2.

Expectancy examples: at 1:2 and a 40% win rate, expectancy = 0.4 × 2 − 0.6 = +0.2R. At 1:2 and 30%, it is 0.6 − 0.7 = −0.1R: a slow loser.

Multiple Targets: Weighted R:R

Many traders scale out. Example (ETH long, entry ₹2,50,000, stop ₹2,40,000, so 1R = ₹10,000):

TargetPriceRPosition closed
TP1₹2,60,0001R50%
TP2₹2,70,0002R30%
TP3₹2,80,0003R20%

Weighted R:R = (0.5 × 1) + (0.3 × 2) + (0.2 × 3) = 1.7R, assuming all three targets are reached. If price turns after TP1, you leave with less, so judge the plan on the weighted number, not on TP3 alone.

Why Fees and Tax Change Your Real R:R

A chart-based R:R ignores what you actually keep. Take a ₹1,00,000 spot position with the 3% stop and 9% target from example 1 (illustrative fee: 0.2% per side including GST):

ParticularGrossAfter feesAfter fees and tax
Risk₹3,000₹3,394₹3,394
Reward₹9,000₹8,582₹5,774
R:R1:3.001:2.531:1.70
Break-even win rate25%28.3%37.0%

How the numbers arise: fees are ₹200 on entry plus ₹194 at the stop or ₹218 at the target. Tax is 31.2% (30% plus 4% cess) on the ₹9,000 price gain, i.e. ₹2,808, because India allows only the cost of acquisition as a deduction – trading fees are not deductible. The loss, on the other hand, gets no tax relief at all, because crypto losses cannot be set off against other income or other crypto gains.

So a clean “1:3” on the chart behaves like roughly 1:1.7 for an Indian trader after costs. That is the main reason to prefer setups of 1:2 or better and to avoid 1:1 trades. Rules can change, so confirm the current treatment with a CA.

What Is a Good Risk-Reward Ratio?

There is no universal number, only trade-offs:

  • 1:1 to 1:1.5: needs a high win rate (50–60%+). Common for scalpers; fragile once fees and tax are included.
  • 1:2 to 1:3: the practical sweet spot for swing and day traders. Break-even sits at 25–33% before costs.
  • 1:4 and above: attractive on paper, but check that the target is backed by a real level and a realistic path.

Choose R:R from the chart (support, resistance, structure), not the other way round. Moving a target further away just to print a nicer ratio is the most common way to fool yourself.

R:R Is Not Enough: Pair It With Position Sizing

R:R tells you whether a trade is worth taking. It says nothing about how much to put in. Once a setup passes, size it with the Position Size Calculator (INR) so that a stop-out costs only 1–2% of your capital. If you trade futures, check where you would be liquidated with the Liquidation Price Calculator – your stop must trigger well before that price.

Common R:R Mistakes

  • Moving the stop-loss to protect the ratio. A wider stop means a smaller reward-to-risk, not a free pass.
  • Ignoring probability. R:R and win rate go together; one without the other is half the picture.
  • Using last-minute targets. Targets should exist before entry. If you invent them mid-trade, you are managing emotion, not risk.
  • Forgetting costs. Fees, funding and tax change the real ratio (see above).
  • Averaging down while the stop stays put. Adding to a loser raises your risk without raising the reward.

Related Tools

Risk Disclaimer

Crypto assets are volatile and can lose value rapidly, especially with leverage. This tool is for education only and is not investment, tax or legal advice. Results depend on your inputs and exclude slippage and funding. Tax rules change; consult a Chartered Accountant.

Any Doubts?

Frequently Asked Questions

1. How do you calculate risk-reward ratio in crypto?

Subtract your stop-loss from your entry to get the risk per coin, subtract your entry from your take-profit to get the reward per coin, then divide reward by risk. Risking ₹1,000 to make ₹3,000 is a ratio of 1:3.

2. What is a good risk-reward ratio for crypto trading?

Most traders look for at least 1:2. At that ratio you break even with a win rate of just 33%. In India, after 30% tax on winners and no relief on losers, 1:2 behaves more like 1:1.4, so 1:1 setups are hard to justify.

3. Is 1:2 or 1:3 better?

Neither is automatically better. 1:3 needs fewer wins to break even, but targets that far away are hit less often. Pick the ratio the chart supports, then check the expectancy with your honest win rate.

4. What win rate do I need for a 1:2 risk reward?

A 33.3% win rate breaks even before fees and tax. Indian tax on winners alone lifts it to about 42%. Add 0.2% fees per side and it rises to roughly 44–48%, depending on how far your stop is from entry.

5. Is 1:1 risk reward bad?

Not always, but it needs a win rate above 50% before costs and about 59% after Indian tax, so it leaves little room for error.

6. Does leverage change my risk-reward ratio?

No. R:R depends only on entry, stop and target. Leverage changes the margin you lock and how close your liquidation price sits to entry.

7. How do I set my take-profit?

Use a technical level such as the next resistance for a long, or the nearest support for a short. Then check the ratio. If the level offers less than 1:2, wait for a better entry rather than stretching the target.

8. Should I use risk-reward for long-term investing?

Yes, loosely. Define the price where your thesis is wrong and the price where you would take profit. For long-term holders the stop is often a thesis level instead of a tight price.

9. Can I use this for stocks or forex?

The maths is identical. The tax and fee defaults on this page are set up for Indian crypto.

10. Is this financial advice?

No. It is a planning tool. It cannot predict price or guarantee any outcome.

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