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Trading Academy

Lesson 12 of 17 · 3 min read

Expected value

Why the win rate alone means nothing, how to calculate expected value and why you need hundreds of trades before you know anything.

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In this lesson

  • understand why a high win rate does not mean profit
  • calculate a strategy's expected value in R
  • find out how long losing streaks are normal

"My strategy has a 70% win rate!" Sounds great. But without a second number it means nothing at all. This lesson is about telling whether a way of trading has any chance of working.

Two numbers, not one#

Every strategy is described by two numbers:

  • the win rate – what percentage of trades end in profit,
  • the average win and the average loss – in the R-multiples from the last lesson.

Only together do they give the expected value – how many R you make or lose on one trade on average:

Expected value = win rate × average win − loss rate × average loss

+2R40% of flips−1R60% of flipsRI count the average, not one flip.
You lose more often than you win – and on average it can still come out positive. Or not: it all depends on the numbers.

Two examples#

Strategy A: a 40% win rate, wins of +2R, losses of −1R. 0.4 × 2 − 0.6 × 1 = +0.2R per trade. Most trades end in a loss, and yet the strategy is positive on average.

Strategy B: a 70% win rate, wins of +0.4R, losses of −1R. 0.7 × 0.4 − 0.3 × 1 = −0.02R per trade. Seven trades out of ten work out – and you still lose in the long run.

And that is before costs. If fees and slippage cost, say, 0.1R per trade, strategy A makes +0.1R and strategy B ends at −0.12R.

A positive expected value is rare

The numbers above are an example of the calculation, not a promise. Most people who trade do not have a positive expected value after costs – that is why most of them lose. Finding out whether you have one takes a long time and costs money.

Losing streaks are normal#

Even a strategy with a positive expected value has long losing streaks. With a 40% win rate over 100 trades:

  • 5 losses in a row happen almost certainly (in 98% of cases in a simulation),
  • 8 losses in a row in roughly every second case,
  • 10 losses in a row in roughly every fifth.

That is why you risk 1% and not 10%. And that is why a streak of five losses on its own does not mean the strategy does not work.

How many trades you need#

After ten trades you know nothing – luck decided. After fifty you have a first idea. A more reliable picture comes from a hundred or more trades under the same rules. Anyone who changes strategy after every three losses will never find out whether any of them worked.

Common myths#

  • "I win 7 out of 10, I am good." It depends on how much you win and how much you lose.
  • "Five losses in a row – the strategy is broken." With a 40% win rate that is common.
  • "I am up for the month, it works." A month is too short to prove anything – it may have been luck.

Summary

  • The win rate without the size of wins and losses says nothing.
  • Expected value = win rate × average win − loss rate × average loss (in R).
  • Costs reduce the expected value of every trade.
  • Long losing streaks are normal; you only know something about a strategy after a hundred trades.