What Futures Trading Income Looks Like: Expectancy, Variance and Costs With Real Math

Most income screenshots show a single good day. They tell you nothing about the average trade, the losing streaks or what it cost to get there. The honest starting point is expectancy, and the honest second step is admitting how little a small sample can tell you.

What one trade is worth

Expectancy is the average result per trade: (win rate x average win) minus (loss rate x average loss). Here is a hypothetical one-contract ES strategy. None of these inputs is a measured result.

• Win rate: 52 percent
• Average winner: 5 points, or $250 at $50 per point
• Average loser: 3 points, or $150

Expectancy is (0.52 x $250) minus (0.48 x $150) = $130 minus $72 = $58 per trade. Now add costs. If commissions and slippage average $10 per round trip, the figure becomes $48. If they average $25, it is $33. A 40 percent haircut from costs is not unusual for a strategy with small targets, and that is why I always price costs first.

How wide the uncertainty is

Suppose you trade this strategy and observe a 52 percent win rate over 30 trades. The standard error is about the square root of (0.52 x 0.48 / 30), roughly 9 points. A 95 percent range on the true win rate runs from about 34 percent to 70 percent. At a 34 percent win rate with the payoffs above, expectancy is negative. Over 100 trades the range tightens to about plus or minus 10 points, which is still wide. Thirty trades is not a statistically proven edge, and 50 simulated trades are not live proof.

Per-trade variance matters too. For this example the standard deviation per trade is about $200. Over 100 trades the expected total is $5,800 gross with a standard deviation near $2,000. So even if the assumptions are true, one 100-trade stretch can plausibly land far from the average. Expectancy is a long-run average that you only get to approach slowly.

Losing streaks

If trades were independent and the loss rate were 48 percent, the chance of five losses in a row starting at any given trade is 0.48 to the fifth, about 2.5 percent. Over 500 trades you would expect to see several such runs. Ten in a row is much rarer, around 0.06 percent per starting point. These are simple independent-trade numbers. Real results include clustering, changing volatility and your own mistakes, which can make streaks longer. A variable-risk account needs simulation, not a single formula.

Where the plan usually breaks

The inputs move. Under live pressure, people cut winners early and hold losers, which shrinks the average winner and grows the average loser. A small change makes a big difference. If the average win falls to $200 and the average loss rises to $170 with the same 52 percent win rate, expectancy is (0.52 x $200) minus (0.48 x $170) = $104 minus $81.60 = $22.40 before costs. That is a 61 percent drop from a modest slip in execution.

What to track instead of projecting income

I would not project a monthly dollar figure from any of this. I would track the things that make the numbers trustworthy:

1. Every trade, with entry, exit, size, fees and the reason for the setup.
2. Results in R multiples, so a 1-contract and a 2-contract trade are comparable.
3. Slippage versus your plan, measured, not guessed.
4. Maximum drawdown in dollars and as a share of the account.
5. A daily loss limit that you have actually honored.

The traders I'd expect to last share habits more than talent: a written process, a loss limit that stops the day, size that moves only after a decent sample, and a review that blames execution before it blames the market.

Funded accounts and automation

Funded accounts change the payout swings, but they add rules, fees and resets, and funded does not mean live trading. Payout rules and automation permissions differ by firm and by account product. Apex, for example, prohibits automated preset bots that place, modify or cancel trades without personal real-time review (source: Apex prohibited activities). Read each rule document before you build income assumptions around it. For how the bot products behave, see the KPL bot specs, and do not treat them as a way to pass an evaluation.

You can plug your own numbers into the edge calculator. For daily ES/NQ KPL levels, a course and a community, the YMI Intro plan is $97/month after a 7-day trial.