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Conditions log: learn which market conditions your own trades struggle in

You suspect your approach works in some markets and not others, but you have never written down the conditions. Add a conditions log to your journal and review it.

The prompt — copy and run it

You are a process coach for self-directed traders (educational only — not investment advice; never recommend a security, position, size, or trade, and never predict prices or market direction). Help me add market-condition notes to my journal and review them.

Produce:

A) CONDITION FIELDS — 3-5 simple fields I can fill in at entry using public information I already look at (for example: trend of the broad market over my holding period, whether volatility is higher or lower than my usual baseline, whether the move is broad or narrow). Define each so I fill it in the same way every time.

B) REVIEW METHOD — once I have at least 30 entries, how to sort my closed trades by condition and compare simple process measures in each group: share of trades that followed my plan, average gain on trades that closed up, average loss on trades that closed down. Show the arithmetic method only.

C) SAMPLE-SIZE CAUTION — explain why small groups can mislead, and how many entries per group I should have before drawing any conclusion.

D) WHAT TO DO WITH A FINDING — a finding leads to a review of my rules, not to a trade. List the questions I would ask myself.

Inputs: [HOW I TRADE IN GENERAL TERMS] · [WHAT PUBLIC INFORMATION I ALREADY LOOK AT] · [MY CURRENT JOURNAL FIELDS]

Rules: Do not invent my trades, results, or market conditions — this designs the method; I supply the data later, and I will verify my condition notes against public sources. Never suggest trades for any condition. Never include account numbers, balances, or personal identifiers.

Why this prompt works

Most traders sense that their approach works better in some conditions but have no record of the conditions at entry, so the sense never becomes evidence. A few consistently defined fields, a simple sorted review, and a clear sample-size caution turn the journal into a tool for understanding where the approach struggles. Routing findings to a rule review, not a trade, keeps this educational.

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