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Using statistics to review a trading journal honestly

GOSPELTRADER Markets Desk · 25 September 2026 · 7 min read

Quick answer

Expectancy = (win rate × average win) − (loss rate × average loss). A positive figure over a large sample suggests an edge; fewer than about 100 trades rarely tells you much. This is educational material, not trading advice.

Educational content only — not investment advice. A journal is a dataset, and the same rules apply as in any research: define the variables, collect consistently, and distrust small samples.

Five numbers to compute

  • • Win rate: winning trades ÷ all trades.
  • • Average win and average loss, in account currency or R-multiples.
  • • Expectancy per trade, using the formula above.
  • • Maximum drawdown: the largest peak-to-trough fall in the equity curve.
  • • Longest losing streak: plan your risk so you can survive twice this.

Sample size and luck

Twenty trades with a 70% win rate is consistent with a coin-flip process more often than people expect. Treat early results as hypotheses and keep risk small until the sample grows.

trading journalexpectancy formulawin ratemaximum drawdown

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