
What it can use
Depending on available data, the AI can reference:- closed trades;
- account and period filters;
- strategy/playbook assignments;
- Journal notes and tags;
- behavioral patterns such as overtrading or revenge-trading indicators;
- risk settings and Coach violations;
- saved insights and prior conversations where available.
Daily briefing
The daily briefing summarizes recent account activity:- prior-day performance;
- notable changes in trade frequency, position size, or realized result;
- risk observations based on configured thresholds;
- focus areas for review.
Chat
Use chat to ask questions about your own data, for example:How did my BTC trades perform this month?Which strategies had the worst drawdown?Show patterns in my losing trades last week.Compare my first trade of the day with the rest of the session.
Pattern detection
The AI can describe patterns such as:- higher loss rate after a sequence of losses;
- increased position size after wins or losses;
- session-specific performance differences;
- symbol concentration;
- strategy performance drift;
- repeated mistakes in Journal tags.
Tilt alerts
Tilt detection watches for behavior that can indicate emotional trading, such as:- higher trade frequency after losses;
- position size increasing after a loss;
- trading outside normal hours;
- repeated rule violations.
Saved and pinned insights
Save an insight for later review. Saved insights are for preparation and journaling. They should not be treated as rules unless you explicitly convert them into a strategy checklist or Coach rule.Limits
AI output can be incomplete or wrong when:- trade history is missing;
- filters exclude relevant trades;
- cashflows or balances are incomplete;
- notes contain ambiguous language;
- sample size is too small;
- the model summarizes a pattern too confidently.