feature
Notes and tags
Strong journaling in Chartnaut means every trade you care about carries enough context to review later — a short note, consistent tags, and optional properties.
Notes and tags feed your review, AI search, playbook reports, and Historical Intelligence training. Agents read the same metadata when searching your library.
The habit
After you close a trade (or at end of session):
Open the trade in Research → Trades
Write two or three sentences in Notes — what you saw, what you did, what you’d repeat or skip
Add one or two tags — setup name, mistake, session
Optionally set properties — custom fields like setup grade or followed plan
Thirty seconds per trade beats a long session note once a week.
Notes
Rich text, autosaved. Use note templates for a repeatable structure.
Write for future you: “chased after missed entry, stop was logical” beats “bad trade.”
Tags
Short labels — A-setup, chase, London, news-day.
Keep a small vocabulary. Ten consistent tags beat fifty one-off spellings.
Tags power:
Library filters
Playbook and Historical Intelligence reports (when trades belong to a playbook)
Tags vs properties
Tags | Properties | |
|---|---|---|
Speed | Fast, free text | Typed fields |
Filter | Yes | Yes, with operators |
Best for | Setup names, mistakes | Grades, yes/no rules |
Use tags for language. Use properties for scoring and rules.
Playbook connection
When a trade belongs to a playbook, tags and notes still live on the trade row. Playbook reports aggregate them — so tag rule-break on every violation and the report surfaces the pattern.
What good looks like
You filter tag:chase monthly, read five notes, and spot the same sentence in three of them — then add a rule to your playbook.
Important distinctions
Notes and tags = journal on Trades.
Definition event payloads = data fields on research events — unrelated to trade notes.
Next
Note templates — speed up notes
Custom fields — structured columns
Trade detail — where to edit each trade
