Expected Value for Futures Traders: How to Calculate It and Stress-Test It

The Question Behind Expected Value

Asking whether the next trade will win is the wrong question, because any single trade can go either way. A better one is whether you would take the same setup over and over if you knew its average result. If the average is positive after costs, the setup is worth taking every time it appears. If it is negative, no amount of confidence on one chart fixes that. One way to frame it is to imagine repeating the exact setup thousands of times. It is a mental model, not a calculation, but it shifts attention from the single outcome to the long-run average.

The Formula

Expected value per trade is:

EV = (win rate x average win) - (loss rate x average loss)

Here is a hypothetical example, not a real strategy: a 55% win rate, a $300 average winner, a 45% loss rate, and a $200 average loser.

EV = (0.55 x $300) - (0.45 x $200) = $165 - $90 = +$75 per trade

With those payoffs the setup breaks even at a 40% win rate, since the break-even win rate is average loss divided by average win plus average loss, or $200 / $500.

Putting Real Numbers Into It

1. Define the setup exactly. EV only means something for a repeatable setup with written entry, stop, and target. 'Trade when it looks good' has no EV you can compute.
2. Log every instance, including costs. On ES, one tick is $12.50 and one point is $50. On MES, a tick is $1.25 and a point is $5. Commissions and slippage on both entry and exit belong in the average win and average loss. A stop order can also fill worse than the stop price.
3. Stress-test the result. Rerun the math with worse inputs.

Each change alone leaves the setup positive. All three together make it negative. That is the useful part of the exercise, because it shows how thin the margin is.

How Much Does a Sample Prove?

Less than most people hope. Suppose you log 50 trades of one setup and win 55% of them. The standard error of that win rate is sqrt(0.55 x 0.45 / 50), about 7 points, so a rough 95% range runs from about 41% to 69%. The low end of that range is above the 40% break-even in the example only barely, and the real rate could sit anywhere inside it. Thirty trades is not a statistically proven edge, and 50 SIM trades is not live proof. A simulated fill also does not test queue position or slippage at the exchange.

Two additional cautions. First, if you test many variations of a setup and keep the best one, the winner's results are inflated by selection. Hold some data aside and test the chosen rules on it once. Second, any change to what you do after seeing results should be validated on trades you did not use to design it.

Where the Simple Math Breaks

The formula treats each trade as independent with fixed dollar outcomes. Real trading has variable position sizes, outcomes that cluster in certain market conditions, and drawdown limits at prop firms that can end an account before long-run averages matter. A simple risk-of-ruin formula carries the same independence assumption. When your dollar risk varies or a drawdown rule applies, a simulation that resamples your own trade history is a better tool than a closed-form formula. Even then, it only reflects the market conditions in the sample.

Using This Day to Day

If a setup has positive EV after costs on a reasonable sample and survives the stress test, take it every time the rules are met and do not think about whether this instance will win. If doubt is high because the sample is thin, size down while you collect more data. If a streak of losses arrives, check whether each trade followed the rules before touching anything. Changing stops or targets because losing feels bad is optimizing for comfort, not for EV.

The KPL levels the daily material gives are fixed reference prices anchored to the regular-session opening print. They are not an EV calculation. Whether a trade near one has positive EV for you is something your journal has to answer. The free edge calculator is a quick way to run the base math, and the Intro membership ($97/month after a 7-day trial) includes a course, daily ES/NQ KPL, and a community to compare logs with.