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Trading Journal Review

Reviews your own completed trade records for behavioural patterns — how you sized, when you deviated from plan — over history you already have.

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CategoryFinanceForAnalysts, SolopreneursTested onClaudeChatGPT

Running it, start to finish

  1. Export your closed trades with dates, sizes and your notes.
  2. Write down the rules you intended to follow, as specifically as you can.
  3. Focus on section 2 — adherence is the part you control.

What you get back

The output this produces, every time.

  • Measures how consistently you followed rules you set yourself, quoting the trades where you did not.
  • Surfaces behavioural patterns in your own history, with an honest statement of whether the sample supports them.
  • Tells you what your journal is failing to capture, which is unrecoverable after the fact.

Getting better results

Where this usually goes wrong, and how to avoid it.

  • Write the rules down first. Section 2 is the most valuable output and it only works if the stated rules are specific. 'Manage risk' cannot be measured against a record.
  • Include your note at the time. The reasoning at entry is what makes a pattern interpretable, and it is the first thing lost if you do not record it.
  • Respect the sample-size warnings. Thirty trades cannot support a confident behavioural conclusion. The review will say so; the temptation is to read past it.

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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.