Signals

Risk-Reward Ratio in Crypto Trading: The Math Behind Being Profitable

You do not need to win most of your trades. You need the right relationship between what you risk and what you can make. Here is the math, with a table you can check yourself.

Many new traders believe they need to win most of their trades. They do not. Plenty of profitable traders lose more often than they win. What makes that possible is the relationship between how much they risk on a trade and how much they aim to make.

That relationship is the risk-reward ratio, and it is worth understanding properly, because it changes what "a good trade" means.

What the ratio means

Risk-reward compares the distance from your entry to your stop (what you lose if wrong) with the distance from your entry to your target (what you make if right).

If you buy at $10, place a stop at $9, and set a target at $13:

  • Risk: $1 per coin
  • Reward: $3 per coin
  • Risk-reward: 1 : 3

Traders often call the risk amount "1R". This trade risks 1R to make 3R. A loss costs 1R. A win makes 3R.

The break-even win rate

This is the number that matters. For any risk-reward ratio, there is a win rate at which you break even. The formula is:

Break-even win rate = 1 ÷ (1 + reward ÷ risk)

Risk : Reward Win rate needed to break even
1 : 0.5 66.7%
1 : 1 50%
1 : 2 33.3%
1 : 3 25%
1 : 4 20%

At 1 : 1 you need to be right half the time before fees. At 1 : 3 you can lose three of every four trades and still break even. That is why a trader with a modest hit rate and good ratios can outperform one who wins often and takes small profits.

Expectancy: the average result per trade

Expectancy combines win rate and size into one number:

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

Example: you win 40% of trades. Your average win is 2R and your average loss is 1R.

(0.40 × 2) − (0.60 × 1) = 0.8 − 0.6 = +0.2R per trade

Over 100 trades that is +20R. If you risk 1% per trade, that works out to roughly 20% before costs, with all the caveats that real markets bring. A positive expectancy is what a real edge looks like on paper, and it is what you can measure in a trading journal.

Why this does not mean "always aim for 1 : 10"

Higher ratios are not free. A target set very far from entry gets hit less often, because price has to travel further before reversing. The trick is to choose targets that are realistic for the chart, such as the next resistance level, and then check what ratio that gives you. If the honest target only offers 1 : 1, the trade may not be worth taking.

In practice, many traders look for at least 1 : 2 before entering, and skip trades where the nearest obstacle sits too close.

The costs the table does not include

Fees and slippage reduce every result. On liquid coins this is small. On thin altcoins, slippage on the entry and on the exit can take a real slice out of a 1 : 2 trade. A trade that looks like 1 : 2 on paper may deliver 1 : 1.6 after costs. Build a margin into your requirement.

How to use this on your next trade

  1. Choose your entry.
  2. Put the stop where the idea is proven wrong. See where to place stop losses.
  3. Find a realistic target, such as the next level of resistance.
  4. Divide reward by risk. If it is under 1 : 2, think twice.
  5. Size the position so the stop costs you a fixed percentage. See position sizing.

None of this guarantees a win on any single trade. It is what makes the average of many trades work in your favour.

Every signal posted in our room includes its entry, stop and targets, so you can calculate the ratio yourself before you take it. 13 signals closed between 30 Jul 2026 and 21 Sep 2026 shows what happened to each one, wins and losses.

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