A product of Candle & Cross
Trading Cathedral In development
Trading Cathedral is an AI-powered trading journal and performance analytics platform, built by Candle & Cross (Candle Cross Solutions LLC). It turns a trader's own executions into a clear record of what happened, why it happened, and what to change, so every session can be reviewed honestly.
Where it stands
Trading Cathedral is in development. The core journal and analytics work today and can be tried in a preview with illustrative sample data. The AI features described below are not released yet.
What works in the preview today
- Trade journal. Every trade with its notes, emotions, mistakes, screenshots and a review checklist.
- P&L calendar. Each trading day's result and R-multiple, with weekly totals.
- Performance analytics. Consistency and risk, breakdowns by setup, time and day, a mistakes view, a time-of-day heatmap and side-by-side comparisons.
- Playbooks. Each strategy's rules, and how the trades taken with it performed.
- Guardian. Personal risk rules (daily loss, losing streak, trade count, position size, session hours), checked against every journaled trade.
- Imports. Trades come in from a broker CSV export.
Where AI comes in (in development)
AI will power parts of the experience. These features are being built and aren't available yet:
- An AI trade reviewer. Ask questions about your own trading in plain language, such as "which setup costs me most on Mondays?", and get an answer drawn from your journal.
- Pattern discovery. Recurring habits across your trades and journal notes, surfaced for review.
How it is designed: the AI turns a question into a query against the same analytics the platform already calculates, then explains the result. It doesn't calculate the numbers itself or invent market data, and every answer says whether it is a calculated fact, an observed pattern or a hypothesis.
What it isn't
Trading Cathedral is a journal and analytics tool. It doesn't place trades, and nothing in it is financial advice. Figures in the preview are illustrative sample data, not the results of any real account.