Risk-Reward Ratio in Crypto Trading, Calculated
The risk-reward ratio compares a trade’s possible gain with its possible loss. Learn the formula, the break-even win rate it implies and why it isn’t an edge.
Key takeaways
- Reward-to-risk R = (target − entry) ÷ (entry − stop); the break-even win rate is 1 ÷ (1 + R), or 33.33% for a 2:1 trade.
- Costs shrink the ratio: 0.1% round-trip fees turn the example's 2.00 into 1.94, and 1% costs turn it into 1.50.
- With no edge, the chance of hitting a target first equals the break-even rate, so a ratio alone never creates an edge.
- Judge a ratio only against a hit rate measured from logged trades, with the stop and target left unchanged after entry.
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Note: This article explains trading math; it is not a suggestion to trade. The SEC warns that day traders typically suffer severe financial losses in their first months of trading, and many never become profitable.
What is the risk-reward ratio?
The risk-reward ratio compares what a trade could make if it reaches its target with what it could lose if it hits its stop. For a long position:
Reward-to-risk (R) = (target − entry) ÷ (entry − stop)
For a short position, the distances flip: R = (entry − target) ÷ (stop − entry).
Conventions vary. Some traders write “1:2” with the risk first, others “2:1” or simply “2R” with the reward first. All three describe the same trade: the possible gain is twice the possible loss. This article uses R, the reward expressed as a multiple of the risk.
R is a property of your plan, not of the market. It tells you what a win and a loss would be worth, and nothing about how likely either one is.
The break-even win rate every ratio implies
If a winning trade makes R and a losing trade loses 1, both in units of risk, the average result per trade is win rate × R − (1 − win rate) × 1. Setting that to zero gives the break-even win rate:
Break-even win rate = 1 ÷ (1 + R)
| Reward-to-risk (R) | Break-even win rate |
|---|---|
| 0.5 | 66.67% |
| 1 | 50.00% |
| 1.5 | 40.00% |
| 2 | 33.33% |
| 3 | 25.00% |
| 5 | 16.67% |
Below the break-even rate, an approach loses money on average, however attractive the ratio looks. Above it, it makes money on average, before the streaks and randomness that make real results messy.
- Before costs 17
- With 1% round-trip costs 20
Worked example: a 2:1 BTC setup, before and after costs
Suppose a hypothetical plan to buy BTC at $60,000, with a stop at $57,000 and a target at $66,000. The gross ratio is ($66,000 − $60,000) ÷ ($60,000 − $57,000) = 2.0, so the break-even win rate is 33.33%.
Costs change both sides of the ratio. With a 0.1% round-trip fee, charged at 0.05% per side, a win nets $6,000 − $30 − $33 = $5,937 per BTC, and a loss costs $3,000 + $30 + $28.50 = $3,058.50. The effective ratio drops to 1.94.
| Scenario | Net reward per BTC | Net risk per BTC | Effective R | Break-even win rate |
|---|---|---|---|---|
| No costs | $6,000.00 | $3,000.00 | 2.00 | 33.33% |
| 0.1% round-trip fees | $5,937.00 | $3,058.50 | 1.94 | 34.00% |
| Fees plus $300 slippage on the stop | $5,937.00 | $3,358.35 | 1.77 | 36.13% |
| Hypothetical 1% round-trip costs | $5,370.00 | $3,585.00 | 1.50 | 40.03% |
In dollars, a position sized to risk $100, or 0.0327 BTC as in the 1% risk rule guide, wins about $194.11 or loses $100 with 0.1% fees. The same “2:1” trade needs a 40.03% win rate once costs reach 1% round trip.
The slippage row matters too. In fast markets a stop can fill significantly worse than the stop price, and that slippage lands on the risk side only. Stop-loss placement and risk per trade shows how to build it into your sizing, and how fees move your break-even price covers the same costs from the price side.
Why a bigger ratio isn’t automatically better
A far target pays more, but it is reached less often. The real question is whether the extra payoff outweighs the lower hit rate, and there is a useful baseline for answering it.
Imagine a price that moves like a fair coin, with no drift and no edge for anyone. The classic gambler’s ruin result says the chance of reaching the target before the stop equals the stop distance divided by the combined distance to the stop and the target. With the stop $3,000 below a $60,000 entry:
| Target | R | Chance the target is hit first (no-edge baseline) | Break-even win rate before costs |
|---|---|---|---|
| $63,000 | 1 | 50.00% | 50.00% |
| $66,000 | 2 | 33.33% | 33.33% |
| $69,000 | 3 | 25.00% | 25.00% |
| $75,000 | 5 | 16.67% | 16.67% |
The two columns match exactly. With no edge, every ratio is a zero-sum trade-off before costs: higher payoffs are offset precisely by lower hit rates. After 0.1% round-trip fees, every row has the same expected result, a loss of $60 per BTC, or about $1.96 on a position that risks $100.
Choosing a ratio cannot create an edge; it only changes how results are distributed. Real prices aren’t fair coins, but any claimed advantage has to show up in a measured hit rate, not in the ratio itself.
A high-R approach also brings long losing streaks: at a 25% hit rate, three trades in four lose. How much those streaks can cost you is the subject of setting a max drawdown limit.
Checking a ratio against your own results
Suppose you logged 40 trades that used the 2:1 setup above with 0.1% fees, and 15 reached the target. That is a 37.5% hit rate, 3.5 percentage points above the 34.00% break-even rate, and an average of about +0.10R per trade on paper: 0.375 × 1.94 − 0.625.
Forty trades is a small sample. A standard 95% confidence interval for the true hit rate (the Wilson method) runs from 24.2% to 53.0%, which comfortably includes the break-even rate. At the low end, the average result would be about −0.29R per trade. With the same hit rate, it takes roughly 360 trades to narrow the interval to about ±5 points. Until a record is that long, treat a small margin over break-even as unproven.
How to use the ratio honestly
- Compute it net of costs. Include fees on both sides and a realistic slippage allowance on the stop.
- Pair it with a measured hit rate. Compare the break-even win rate with results logged from similar trades, not with a feeling.
- Keep the stop and target fixed after entry. Moving the target further away improves the ratio on paper while lowering the chance of reaching it.
- Respect the asymmetry of losses. A run of losses needs a larger percentage gain to recover, as percentage gains vs losses shows.
- Don’t size up because the ratio looks good. A favorable ratio says nothing about how much to risk, and formulas such as the Kelly criterion show how sensitive “optimal” sizing is to its inputs.
Enter an entry, stop and take-profit into our position size calculator to see the ratio next to the maximum loss and the position size.
The bottom line
The risk-reward ratio tells you what a win and a loss are worth, and 1 ÷ (1 + R) tells you how often you must win just to break even. Costs and stop slippage lower the effective ratio, and with no edge every ratio loses by the amount of the costs. Treat the ratio as a check on a measured hit rate, never as an edge by itself.
Frequently asked questions
How do you calculate the risk-reward ratio?
For a long trade, divide the distance from entry to target by the distance from entry to stop. A hypothetical BTC plan with a $60,000 entry, a $57,000 stop and a $66,000 target has a ratio of $6,000 ÷ $3,000 = 2, often written 2:1 or 2R. For a short trade the distances run the other way. For the effective ratio, subtract fees from the reward and add them to the risk.
What win rate do I need for a 2:1 risk-reward ratio?
Before costs, 1 ÷ (1 + 2) = 33.33%. Costs raise it: with 0.1% round-trip fees on the example BTC trade, the effective ratio is 1.94 and the break-even win rate is 34.00%. With a hypothetical 1% round-trip cost, the ratio falls to 1.50 and the break-even win rate rises to 40.03%. Whether you beat that rate can only be known from results measured over many trades.
Is a higher risk-reward ratio always better?
No. A more distant target pays more but is reached less often. In a no-edge baseline where price moves like a fair coin, the chance of reaching the target first exactly equals the break-even win rate, so every ratio has zero expected value before costs and negative expected value after them. A ratio only helps if your measured hit rate beats the break-even rate for that target.
Why do trading costs matter more with tight stops?
Fees are charged as a percentage of the position, while a tight stop means a small risk per unit, so costs become a bigger share of what you risk. On the example trade, 0.1% round-trip fees cut the ratio from 2.00 to 1.94, and a hypothetical 1% round-trip cost cuts it to 1.50. The tighter the stop, the higher the win rate you need just to break even.
Sources
- Gambler's Ruin Problem (lecture notes) — Karl Sigman, Columbia University
- Stop Orders: Factors to Consider During Volatile Markets — FINRA
- Day Trading: Your Dollars at Risk — U.S. Securities and Exchange Commission
- Engineering Statistics Handbook, 7.2.4.1: Confidence intervals — NIST/SEMATECH
This content is for education only and is not financial, investment, tax or legal advice. Crypto assets are volatile and you can lose money. Examples use hypothetical numbers. See our disclaimer and editorial policy.