Quick answer
If a gross winner is $200, a gross loser is $100 and every trade costs $5 round trip, the net amounts are +$195 and −$105. The net payoff is about 1.86:1 and the break-even win rate is 35%, rather than the 33.33% suggested by a cost-free two-to-one model.
A practical workflow
- Step 1
Label the chart ratio
Record entry, stop and target in consistent price units. Keep this planned geometry separate from what you later realize.
- Step 2
Price a complete round trip
Include relevant commissions, exchange charges, spread and an explicit slippage allowance. Avoid counting spread twice if it is already reflected in actual fills.
- Step 3
Use the correct outcome averages
Review complete journal records. If average wins and losses are already net of costs, enter zero additional cost in the expectancy tool.
- Step 4
Retain uncertainty
Label assumptions, the sample period and excluded trades. A positive arithmetic average is not proof of a repeatable future edge.
At a glance
| Illustrative quantity | Before costs | With $5 on every trade |
|---|---|---|
| Average winner | $200 | $195 |
| Average loser, positive magnitude | $100 | $105 |
| Winner / loser payoff | 2.00 : 1 | 1.86 : 1 |
| Break-even wins | 33.33% | 35.00% |
| Average result at 40% wins | $20 | $15 |
Why costs enter both sides of the break-even equation
Let gross winner W, gross loss L and constant cost C use the same currency. A win adds W − C; a loss subtracts L + C. Solving p(W − C) − (1 − p)(L + C) = 0 yields p = (L + C) / (W + L). This is our derivation, not an empirical strategy result.
The denominator stays W + L because the same cost occurs regardless of whether the trade wins. Different outcome-specific costs need their own win and loss estimates; a single constant is a simplified model.
A tight-stop plan can be disproportionately sensitive to costs
Compare two invented plans with equal gross payoff ratios. Plan A has $20 winners, $10 losers and $3 cost; Plan B has $200 winners, $100 losers and the same $3 cost. A needs 13 / 30 = 43.33% wins to break even. B needs 103 / 300 = 34.33%. The same dollar cost consumes a different share of the payoff.
This comparison does not recommend increasing risk or widening stops. It explains why copying a ratio without its size and cost assumptions is misleading. When costs make the original setup unattractive, choosing not to trade remains a valid outcome.
Targets, realized averages and partial exits answer different questions
A 2R target may turn into a smaller realized winner after an early exit or partial take-profit. A nominal 1R stop can lose more through gaps or slippage. Use planned levels to discuss the proposed setup; use realized averages to describe a completed journal sample.
Keep position-size changes visible. If one losing trade was much larger than the others, an unweighted average R score can hide money drawdown. Conversely, raw dollar averages can mix strategies and size regimes. Segment comparable trades before interpreting either statistic.
What to log before claiming an edge
Keep the period, instrument, entry rule, original risk, actual fills, costs, skipped setups and outcome definition. Include losses and rejected signals. Do not remove a bad fill simply because it makes the result worse.
The calculator describes entered payoffs. It does not establish sample adequacy, a confidence interval, stationarity or out-of-sample performance. A chart confidence score is also different from a measured outcome probability. Use the published evaluation protocol before presenting a product accuracy claim.
Common questions
Does 1:2 risk/reward need a 50% win rate?
In a fixed, cost-free two-to-one payoff model, break-even is 33.33%. Costs increase that hurdle, and actual outcomes can differ from the target ratio.
Should fees be entered twice for entry and exit?
Enter the full round-trip total once in this model. If you start with a fee per side, calculate both sides first.
Does the tool predict my win rate?
No. You supply an observed or assumed rate. The tool calculates the implications of that input without estimating how likely it is.
Educational decision support. Chart analysis cannot guarantee a result, and all prices, contract values, and execution conditions require independent verification.