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How to evaluate a strategy's expectancy

A strategy's expectancy is the average profit or loss per trade after costs, over many trades. This guide covers how to evaluate it — judging it quickly with a repeatable framework — with the signals to watch, where to find them, and the mistake to avoid.

What a strategy's expectancy is

A strategy's expectancy is the average profit or loss per trade after costs, over many trades. Learning to evaluate it is about judging it quickly with a repeatable framework.

The signals that matter

When you are evaluating a strategy's expectancy, these are the concrete signals to focus on:

  • Win rate combined with average win/loss size
  • Costs (fees, slippage) dragging results
  • A large enough sample to trust
  • Big winners offsetting many small losers
  • Negative expectancy hidden by a high win rate

Where to look

You will mostly observe a strategy's expectancy in your trade journal and the math of wins, losses, and costs. To evaluate it, go straight to these sources rather than relying on chat or hype.

To evaluate it: the steps

  1. Use a fixed checklist so every case is judged the same way.
  2. Start with the non-negotiables (authorities, liquidity status).
  3. Then weigh the contextual signals against the baseline.
  4. Reach a clear go/skip decision rather than a vague feeling.

The mistake almost everyone makes

Watch out — The classic error: judging a strategy by win rate instead of expectancy after costs.

Turning the read into action

Spotting it is only half the job — acting on it under time pressure is the other half. The conditions around a strategy's expectancy can change in seconds, which is why many traders pair their own reads with real-time alerts that watch continuously and ping the moment something lines up.

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