The trading review workspace for finding edge and fixing execution leaks.
TradesBodhi connects trade capture, journaling, calendar review, reports, and AI-guided reflection in one calmer trading workflow.
AI sits on top of the whole review loop, not one isolated chart.
TradingGuru reads the same trades, journal inputs, tags, reports, and calendar pressure context you already use, then pushes one clear next step back into the workflow.
You document pain quickly, but you skip the winners that show repeatable execution quality and exit behavior.
Open Journal on the last three green trades and compare exits against the original plan before changing strategy rules.
If you only review damage, you overfit defense. The edge is hiding inside the trades that went right.
Every workspace feeds the same review loop.
Operate the trades, review the behavior, and let AI pull the next signal into focus.
Operate on trades before the review signal disappears.
Filter, inspect, tag, merge, split, and edit trades while the execution context is still usable.
- Grid-first operations
- Trade detail drawer
- Bulk actions and tagging
See what performance is actually teaching you.
Turn raw fills into readable patterns through equity, drawdown, tag, and strategy context.
- Equity and P&L curves
- Tag and strategy breakdowns
- Deeper report drilldowns
Turn execution into reflection while the trade still matters.
Capture pre-trade, post-trade, mistakes, and lessons in one editor while AI keeps the review moving.
- Section-based review flow
- Confidence and discipline cues
- AI next-step guidance
Spot pressure, consistency, and leak clusters across time.
Use year, month, and day views to spot pressure zones, consistency streaks, and leak clusters.
- Heatmap discipline scan
- Pressure-month context
- Leak hotspots by period
Import. Review. Journal. Improve.
The workflow is meant to move from raw trade data into repeatable performance decisions without breaking context.
Follow the review flow as each workspace comes into focus.
Scroll the sequence and the product story shifts from execution to analysis, journaling, calendar discipline, deeper reports, and AI-guided next steps.
Grid-first trade operations
The trade blotter stays operational: filters, bulk actions, edit flow, detail context, and open-trade refresh live together.
Most traders collect data. Very few build a review process.
TradingGuru is positioned around that gap. It is meant to help traders move from disconnected trade logs and scattered notes into a repeatable review system that improves decision quality over time.
Review the product, support, and policy pages on the public domain.
The full application stays in controlled QA. This production surface is intentionally minimal and approval-ready.