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Why an AI Mentor observation is unavailable
Learn why TradeChrona may wait for more complete or consistent data instead of generating an answer.
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What this article helps you do
Identify the missing evidence needed for a useful observation.
Before you start
- AI Mentor entitlement.
Follow these steps
- 1
Review the active filters and date range.
- 2
Confirm completed trades have P&L, setup, instrument, session, and account metadata where required.
- 3
Confirm journal sessions and discipline answers exist for discipline observations.
- 4
Widen the date range only when it remains relevant.
- 5
Keep tagging consistent and allow the sample to grow.
What you should see
The empty state explains whether the blocker is sample size, missing fields, or restrictive filters.
Common mistakes
- Generating filler observations from insufficient data.
- Changing tags solely to force an insight.
- Combining unrelated accounts to inflate sample size.