What is expected payoff? Reading the average profit per trade
Expected payoff shows the average result of each trade in the report sample. A small positive value can be eaten up by costs; a large one can be pulled up by a few outlier trades.
What is expected payoff? In the MT5 Strategy Tester report, this field usually shows the average net result per trade over the test period. Roughly, it is net profit divided by the total number of trades as counted by the platform. Confirm the field definition in the original report, because some systems may use a different denominator or accounting method. This is a historical average, not the amount the EA is expected to earn on the next trade.
How to read the average
You can cross-check expected payoff against net profit divided by the number of trades, using the platform's own definition. This division compresses many observations into one number, but it hides the dispersion: most trades may be near breakeven while a few large trades create the positive total. Conversely, many small wins alongside one large loss can also drag the average down. Look at the trade list and results by period whenever possible.
| Expected payoff | Initial interpretation | What to check |
|---|---|---|
| Negative | The sample has a negative average result per the report. | Loss size, costs and distribution by period. |
| Near 0 | The average edge is very thin. | Costs could flip the sign. |
| Small positive | The sample has a positive average. | Compare with spread, commission and slippage. |
| Large positive | May be dominated by a few outlier trades. | Largest trade, consistency and number of trades. |
An example from published figures
M1 REGIME backtest report, period 1 Jan – 2 Oct 2026, initial deposit 300 USD: 268 trades, net profit 324 USD, profit factor 1.68 and maximum balance drawdown 14.53%. These are published Strategy Tester figures, not live account results. The sample is still short and does not guarantee future results. See the report and test conditions on the EA page.
Costs can eat up a small payoff
Every trade can incur spread, commission and slippage; trades held for a long time can incur swap. If the payoff before a given cost is only slightly above the actual total cost, the remaining margin can be close to zero or negative. So place the average next to the costs for the right lot size and account type. Do not use a generic estimate as if it were the real fee of a specific broker.
Costs are not fixed across brokers or account types. Spread changes with the time of day and liquidity; commission depends on volume; slippage is usually hard to simulate accurately. That is why expected payoff figures can only be compared when conditions and currency units are compatible. Avoid comparing a report that includes commission with one whose fees are unclear.
A positive average does not remove risk
A positive average expectancy can come with long losing streaks, deep drawdowns and long periods without recovery. The average does not tell you the order of wins and losses. A trader still needs the capital and a plan to withstand the swings. Look at balance and equity drawdown, the largest loss, the deposit size and the profit distribution. If the strategy holds unclosed losing positions, the average result of closed trades can miss part of the risk being carried.
Sample size matters too. With few trades, one outlier can change the payoff sharply. With many trades, check whether they are spread across different market conditions or concentrated in one cluster. Testing many configurations and then publishing the best one also creates a risk of over-optimization. Look for out-of-sample results or tracking on new data, if available.
Reading expected payoff step by step
- Identify the report's currency unit and definition of a trade.
- Cross-check net profit, number of trades and the average calculation.
- See which costs were included and the assumed cost levels.
- Check outlier trades, the win/loss distribution and drawdown.
- Compare on the same period, size and test conditions.
If you do not know the costs, do not call expected payoff an achievable net profit. If the report does not show the trade distribution, keep your conclusion at the level of the average it presents. An average metric is useful for asking questions; it cannot summarize the whole operating experience.
Expected payoff in a backtest is the average of a historical sample under simulation assumptions. It is not a commitment to earnings per trade in live trading.
Compare expected payoff with other metrics and with other EAs that have published profiles.
Frequently asked questions
It is the average result per trade in the report, as defined by the platform; it can usually be cross-checked against net profit divided by the number of trades.
It shows that the sample average is positive per the report. Costs, drawdown, trade distribution and future conditions can still make results differ.
It depends on the simulation settings and the report. Confirm how spread, commission, swap and slippage were accounted for.
When the average is small relative to the cost per trade, fees can erase the margin. Compare using the same units and conditions.
Expected payoff is the average per trade; profit factor is total gross profit divided by the total size of gross loss.
DinexSpace labels the source of every number in its research profiles: backtest, forward, demo or live. You can check them against the points covered in this article.