Futures Prop Firm OffersFutures Trading Expectancy Calculator for Prop Accounts
Calculate futures strategy expectancy after win rate, average win, average loss and trading costs, then translate the result into prop-account risk planning.
Futures Trading Expectancy Calculator for Prop Accounts
Trading expectancy estimates the average amount a strategy may gain or lose per trade across a sufficiently large sample. For futures prop traders, the useful version includes commissions and slippage and is compared with actual drawdown capacity—not the nominal account label. Positive historical expectancy is evidence about a sample, not a guarantee of future profit.
CME explains that futures P&L depends on price movement, tick value and contract quantity. CME futures P&L guide.
Expectancy Formula
When average wins and losses are measured before costs:
Expectancy = (win rate × average gross win) − (loss rate × average gross loss) − average cost per trade
Use decimal probabilities. A 45% win rate is 0.45 and the corresponding loss rate is 0.55 when scratches are excluded.
Worked Example
Assume 100 trades with a 45% win rate, $180 average gross win, $100 average gross loss and $10 average round-trip cost.
| Input | Value |
|---|---|
| Win rate | 45% |
| Loss rate | 55% |
| Average gross win | $180 |
| Average gross loss | $100 |
| Average cost per trade | $10 |
Expectancy = (0.45 × $180) − (0.55 × $100) − $10 = $16 per trade
| Component | Contribution per trade |
|---|---|
| Weighted gross win | +$81 |
| Weighted gross loss | −$55 |
| Average cost | −$10 |
| Net expectancy | +$16 |
Why Costs Matter
| Average cost per trade | Gross expectancy before costs | Net expectancy |
|---|---|---|
| $0 | $26 | $26 |
| $5 | $26 | $21 |
| $10 | $26 | $16 |
| $15 | $26 | $11 |
| $25 | $26 | $1 |
| $30 | $26 | −$4 |
A strategy with a small gross edge can become negative after realistic commissions and slippage.
Expectancy Across Different Win Rates
Keep the same $180 average win, $100 average loss and $10 cost.
| Win rate | Loss rate | Net expectancy per trade |
|---|---|---|
| 35% | 65% | −$12 |
| 40% | 60% | $2 |
| 45% | 55% | $16 |
| 50% | 50% | $30 |
| 55% | 45% | $44 |
These are mathematical scenarios, not forecasts.
Convert Dollars Into R-Multiples
If one planned unit of risk is $100:
| Trade result | Dollar result | R-multiple |
|---|---|---|
| Full planned loss | −$100 | −1.0R |
| Half loss | −$50 | −0.5R |
| Small win | +$75 | +0.75R |
| Average win example | +$180 | +1.8R |
| Large win | +$300 | +3.0R |
R-multiples make samples easier to compare when contract quantity changes.
Relate Expectancy to Drawdown Capacity
Suppose current room before a prop-account breach is $1,000 and planned risk is $100 per trade.
| Scenario | Calculation | Result |
|---|---|---|
| Planned risk as share of room | $100 ÷ $1,000 | 10% |
| Five full planned losses | 5 × $100 | $500 |
| Eight full planned losses | 8 × $100 | $800 |
| Ten full planned losses | 10 × $100 | $1,000 |
This ignores slippage, fees and any moving drawdown threshold. It is a stress test, not a prediction.
Build a Clean Sample
Define One Setup
Do not combine unrelated strategies, sessions or markets into one expectancy number unless that blended result is intentional.
Use Net Results
Include actual commissions, exchange fees and slippage. Record partial exits consistently.
Separate Market Conditions
Tag news sessions, high volatility, low liquidity and rollover periods. A strategy may behave differently in each group.
Avoid Tiny Samples
A short winning streak can produce a misleading result. Review expectancy together with sample size, maximum losing streak and drawdown.
Weekly Expectancy Review
| Question | Evidence |
|---|---|
| Is the edge still positive after costs? | Net expectancy |
| Is one large winner distorting the mean? | Median and outlier review |
| Has average loss expanded? | Loss distribution |
| Are fills getting worse? | Slippage by session |
| Does size change execution? | Results by contract quantity |
| Is the current risk sustainable? | Stress test against remaining drawdown |
Final Answer
Calculate expectancy from verified trade records, subtract real costs and compare the result with current prop-account risk capacity. Use it to evaluate a repeatable process—not to promise that the next trade will be profitable.