Calculate a crypto trade's risk–reward ratio from the planned entry, loss exit and profit exit, then repeat it with estimated execution costs and adverse fills. A 1:3 risk-to-reward plan means one unit of planned loss for three units of planned gain; it does not mean the gain is three times as likely or that the loss is capped. Write the ratio convention beside the number.
The useful question before entry is whether the trade still makes sense at prices you could actually execute. A target drawn on a chart can stay unchanged while a late entry, a worse stop fill or a partial exit changes the payoff substantially.
Make the convention unambiguous
Let L be the positive magnitude of a modeled losing outcome and W the positive amount of a modeled winning outcome. Risk-to-reward is L:W, commonly normalized to 1:(W/L). The reward-to-risk multiple is W/L. A plan risking 20 USDT for a possible 60 USDT gain therefore has a 1:3 risk-to-reward ratio and a 3.0 reward-to-risk multiple.
Some calculators instead display L/W, which would be approximately 0.33 for the same plan. These are reciprocal conventions. A bare label such as “R/R = 3” invites mistakes when comparing tools. Binance.US explains both ratio conventions, including the role of an entry, stop and target chosen before the trade.
The ratio also omits the dollar scale. Risking 20 to seek 60 and risking 2,000 to seek 6,000 have the same proportions. Whether either loss fits an account is a separate decision. CME's trade-plan risk questions cover per-trade loss, simultaneous positions and total exposure; a favorable ratio does not answer those questions. The portfolio correlation worksheet extends that review to losses shared by several positions.
Build the cash outcomes before dividing
For a fully closed, fixed-quantity spot long with entry E, modeled loss exit S below E, target exit T above E, and quantity q:
- Gross loss magnitude is
q × (E − S). - Gross gain is
q × (T − E). - Modeled net loss magnitude is gross loss plus costs on that losing path.
- Modeled net gain is gross gain minus costs on that winning path.
For a short with a linear quote-currency payoff, the price distances reverse: loss distance is S − E and gain distance is E − T. Borrowing or funding may add costs. Do not apply these linear formulas directly to inverse contracts or instruments with different settlement rules.
If costs make W zero or negative, the target path is no longer a profitable outcome. Do not label it a positive reward multiple.
Use modeled execution prices rather than quietly treating trigger prices as guaranteed fills. If an adverse entry or exit is already in E, S or T, its price effect is already in the gross calculation. Deducting that same slippage again as a cash cost would double count it. The slippage and order-book-depth worksheet explains how size changes the available prices.
One chart plan, four different payoff summaries
This original hypothetical example uses ten units of a fictional asset, an intended entry of 100 USDT, a stop trigger at 98 and a target at 106. Assume complete execution at the specified scenario prices. Where included, a chosen fee of 0.10% applies to entry and exit notional, paid separately in USDT. This is an invented rate, not an exchange fee quote. There are no other charges.
For the fee-adjusted intended entry, the entry charge is 10 × 100 × 0.001 = 1 USDT. The stop-path exit charge is 0.98 USDT, while the target-path exit charge is 1.06 USDT. Thus L is 20 + 1 + 0.98 = 21.98 and W is 60 − 1 − 1.06 = 57.94.
| Scenario | Entry fill | Loss-path exit fill | Target-path exit fill | Modeled L, USDT | Modeled W, USDT | Reward-to-risk multiple |
|---|---|---|---|---|---|---|
| Chart distances, fees excluded | 100 | 98 | 106 | 20.00 | 60.00 | 3.00 |
| Intended fills, chosen fees included | 100 | 98 | 106 | 21.98 | 57.94 | 2.64 |
| Late entry, chosen fees included | 101 | 98 | 106 | 31.99 | 47.93 | 1.50 |
| Late entry and adverse stop fill, fees included | 101 | 97.50 | 106 | 36.985 | 47.93 | 1.30 |
Multiples are rounded to two decimal places using unrounded amounts. The last row retains the original 98 stop trigger but assumes a 97.50 execution. Its loss is 10 × (101 − 97.50) + 1.01 + 0.975 = 36.985 USDT.
The apparent 1:3 opportunity became approximately 1:1.30 under those particular assumptions. This does not estimate how often the stressed path occurs. It identifies how sensitive the plan is to a one-USDT entry change and a half-USDT stop-fill change.
The stop is an instruction, not the loss denominator's guarantee
Binance's Spot API glossary distinguishes a stop-loss that activates a market order from a stop-loss-limit that activates a limit order. Its market-order definition depends on available prices and liquidity. Those definitions are specific to Binance Spot and do not establish identical behavior on another product. Binance Spot order and trigger definitions
A gap can produce a worse loss-path fill than planned. A limit restriction can instead leave some or all of the position open. An unfilled exit is not a small completed loss simply because the calculator still shows the original stop distance. Read the stop-market versus stop-limit comparison before treating either instruction as a cash outcome.
For leveraged positions, liquidation may also interrupt the intended exit sequence. The worksheet is not a liquidation model. Check the actual contract, collateral and trigger rules separately, including the difference between mark price and trade price. If collateral is a stablecoin, the depeg-risk valuation worksheet separates token quantity from the value the venue recognizes as support.
A target multiple does not supply a win probability
Under a simplified two-outcome model with net gain W and net loss magnitude L, the break-even win probability is L / (W + L). The fee-free first row requires 25%; the fee-adjusted intended row requires approximately 27.50%; the late-entry row approximately 40.03%; and the stressed row approximately 43.56%.
These are algebraic thresholds under each model, not forecasts of success. Moving the target farther away can increase the displayed multiple while changing the chance of reaching it before the loss exit. The expectancy and win-rate guide addresses evidence from completed trades, costs and sampling uncertainty. A planned ratio alone cannot establish positive expectancy.
Partial exits need more than one winning outcome
Suppose the intended-entry example instead sells five units at 102 and five at 106. Gross gain is 5 × 2 + 5 × 6 = 40 USDT, rather than 60. With the same chosen fee convention, total charges are 1 + 0.51 + 0.53 = 2.04, leaving 37.96 USDT. Relative to the original fee-adjusted loss of 21.98, that winning path is approximately 1.73 times the modeled loss.
If the first five units sell at 102 and the remaining five at 98, gross P&L is zero. Fees of 1 + 0.51 + 0.49 = 2 leave a two-USDT loss. Calling the remaining exit “breakeven” would conceal those costs. Trailing stops and time exits create further possible outcomes; a binary stop-or-target diagram cannot represent all of them.
Keep this worksheet with the decision
| Record before entry | What it resolves |
|---|---|
| Venue, product, direction and quantity | Which payoff and execution rules apply? |
| Intended entry and latest acceptable entry | When does a delayed fill invalidate the calculation? |
| Invalidation reason, trigger and modeled loss fill | Is the stop tied to the thesis, and what execution is assumed? |
| Target reason and partial-exit schedule | Which quantities can actually realize the stated reward? |
| Separate costs for each outcome | Are fees, funding or borrowing omitted or double counted? |
| Ordinary and adverse-fill L, W and convention | How fragile is the displayed ratio? |
| Loss allowance and unfinished-exit response | Can the account carry the exposure if the plan fails? |
Do not tighten a stop solely to manufacture a preferred multiple. That changes when the trade exits and can invalidate the analysis that justified entry. If the latest acceptable entry has passed, preserve that observation in the trading journal instead of silently redrawing the target. No universal ratio makes an otherwise unsupported trade suitable.
Method and limits
This AI-assisted article combines the linked primary education and venue documentation with original hypothetical cash-flow scenarios. The calculations were recomputed from the stated fills, quantities and fee assumptions. No live order book, historical win probability or KLINEO result was analyzed, and no venue-specific order capability is asserted as a KLINEO feature. Planned losses can be exceeded; the risk disclosure describes broader trading risks.