Live charts always look convincing. The harder question is whether today looks like the trades you trusted enough to file.
Historical Intelligence asks that narrower question. It scores a developing setup against the trades already filed in that playbook — not yesterday's winner that only rhymes with today.
It is not a generic signal service. It is a memory layer beside your rules, snapshots, and judgment.
How it works
Train Historical Intelligence inside a playbook once it has enough clean examples. During live or replay, Chartnaut compares the developing setup with that playbook's history and surfaces similarity scores as context changes. Each playbook trains separately, so setups do not bleed into one another.
Historical Intelligence summary — model accuracy, sample size, and readiness before you rely on live scores.
What becomes possible
- See whether the current setup resembles your own best examples
- Keep each model scoped to one playbook
- Update the model as your filed history grows
- Use a guardrail without replacing your rules or judgment
Where it fits
Historical Intelligence is what comes after clean capture. Playbooks create the dataset. Analytics shows performance. HI brings that history into the next live decision. It is only as good as the trades you filed honestly.
Start here
Choose the playbook with the cleanest history. Train HI, then watch it in replay for a few sessions before using the score in live trading.
Try Historical Intelligence in the terminal
Start a free trial and file your first trades — replay, research, and analytics included.
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