Why Traders Must Know Trade Expectancy Per Unit Time and How to Use It to Measure True Performance

Most traders only look at how much profit their trading strategy makes per trade, or whether their Expectancy is positive. But there's another critical variable that's often overlooked: "time" — how much time it takes to generate that profit. A trading system that makes an average profit of 1,000 baht per trade but requires a one-week wait per trade may not be as worthwhile as a system that makes 500 baht per trade but trades twice a day. This is why professional traders use Trade Expectancy Per Unit Time to assess the true performance of their trading systems.

What Is Trade Expectancy Per Unit Time

Trade Expectancy Per Unit Time is a metric that tells you how much average profit your trading strategy generates per unit of time, not just per trade. This metric allows you to fairly compare strategies with different timeframes or trading frequencies.

For example, you have two strategies:

• Strategy A (Scalping): Expectancy = 20 pips per trade, average 10 trades per day, Average Holding Time = 15 minutes per trade
• Strategy B (Swing Trading): Expectancy = 150 pips per trade, average 2 trades per week, Average Holding Time = 3 days per trade

If you only look at Expectancy, Strategy B appears better. But when calculated per unit of time, Strategy A may deliver higher returns because it has much higher trading frequency and takes less time per trade.

How to Calculate Trade Expectancy Per Unit Time

The basic formula is:

Expectancy Per Unit Time = (Expectancy × Number of trades per unit time) ÷ Average Holding Time

Or more simply:

Expectancy Per Unit Time = Expectancy ÷ Average Holding Time

Calculation example:

Strategy A:
Expectancy = 20 pips, Average Holding Time = 15 minutes (0.25 hours)
Expectancy Per Hour = 20 ÷ 0.25 = 80 pips/hour

Strategy B:
Expectancy = 150 pips, Average Holding Time = 72 hours (3 days)
Expectancy Per Hour = 150 ÷ 72 = 2.08 pips/hour

You can see that when calculated per unit of time, Strategy A is 38 times more efficient than Strategy B, even though its Expectancy per trade is lower.

Why Trade Expectancy Per Unit Time Matters

1. Compare Strategies with Different Timeframes

If you have limited capital and must choose which strategy to use, looking at Expectancy alone isn't enough. You need to know which strategy uses capital and time most efficiently. A system with higher Expectancy Per Unit Time will help you maximise capital utilisation and turn over capital faster.

2. Assess Opportunity Cost

The time you spend waiting for one trade to close, you may miss opportunities to enter other potentially profitable trades. If your strategy requires a very long time per trade but delivers low returns per unit of time, you may be wasting time on a strategy that isn't worthwhile.

3. Help Plan Capital Allocation

If you know that one strategy has high Expectancy Per Unit Time but requires substantial capital, you may need to adjust Position Sizing or allocate capital appropriately so you can trade multiple strategies simultaneously.

4. Does It Suit Your Lifestyle

Some people may not be suited to Scalping, which requires constant screen time, even if it has high Expectancy Per Unit Time. Conversely, Swing Trading, which requires less time but delivers lower returns per unit of time, may be more suitable for people with full-time jobs. Understanding this metric helps you choose a strategy that fits your real life.

How to Use Trade Expectancy Per Unit Time to Improve Your Trading

Test and Record Data

Before you can calculate, you need complete data, including:

• Expectancy of each strategy
• Average Trade Duration or Average Holding Time
• Trading Frequency (number of trades per day/week/month)

Platforms like Thaifxbook allow you to connect your MT5 account and automatically extract these statistics for analysis without manual calculation. You'll see the Equity Curve, Average Win and Average Loss, as well as Holding Time clearly.

Compare Between Strategies

Once you have complete data, calculate the Expectancy Per Unit Time for each strategy you use, then rank which strategy delivers the highest returns per unit of time. This will help you decide which strategy to focus on or which strategy to improve first.

Optimise Strategies for Higher Efficiency

If one strategy has good Expectancy but low Expectancy Per Unit Time, you have two options:

• Reduce Average Holding Time: Adjust Take Profit points to be faster, or use Trailing Stop to lock in profits sooner
• Increase Expectancy: Improve Entry/Exit points for greater accuracy, or filter signals better

Adjusting both of these requires caution, as they may affect other metrics such as Win Rate or Maximum Drawdown Duration

Consider Trading Costs

Don't forget to factor in Commission and Spread. High-frequency strategies (such as Scalping) will have correspondingly high trading costs. You need to calculate Net Expectancy Per Unit Time after deducting costs to see the true picture.

Precautions When Using Trade Expectancy Per Unit Time

Not the Only Metric to Consider

Although this metric is useful, you shouldn't make decisions based on this figure alone. You must also consider:

• Drawdown — strategies that deliver high returns per unit of time may also have correspondingly high Drawdown
• Sharpe Ratio or Sortino Ratio — measure risk-adjusted returns
• Risk of Ruin — the risk that your portfolio will go bankrupt

Data Must Have Sufficient Sample Size

Calculating Expectancy Per Unit Time from just 10-20 trades may not reflect reality. You need at least 100 trades or more, or at least 3-6 months of trading, for the figures to be reliable.

Market Conditions Change

Strategies that work well during trending markets may deliver low Expectancy Per Unit Time during sideways markets, and vice versa. You should monitor and adjust your strategy according to market conditions as well.

Summary

Trade Expectancy Per Unit Time is a metric that helps traders see a more complete picture than looking at Expectancy alone. It tells you which strategy uses time and capital most efficiently, helping you choose a strategy that suits your goals and lifestyle.

Measuring trading performance isn't just about seeing whether you win or lose, but understanding whether you're using your limited resources (capital, time, and energy) efficiently. Tools like Thaifxbook make it easy to access these statistics and use them to continuously improve your trading plan.

Start today by recording and analysing your Average Holding Time, then calculate the Expectancy Per Unit Time for each strategy. You'll discover that the strategy you think is best may not always be the most worthwhile strategy.