TradeMind
An AI trading journal that reads your screenshots and finds the patterns you can’t.
2
Native apps in build
OCR
Zero-typing trade capture
6
Live insight categories
E2E
Encrypted at rest
Journaling is the discipline every serious trader is told to keep and almost nobody sustains. Manual entry after a session is friction at exactly the wrong moment, and a spreadsheet full of fills stores history without ever explaining it. The product had to remove the logging effort entirely — on a phone, in seconds — and then do something with that data a spreadsheet never could.
We built the capture path first, because a journal nobody fills is worthless: an OCR pipeline that lifts entries, exits, P&L, and timestamps straight out of a TradingView or broker screenshot. On top of it sits the analysis layer — a pattern engine reading across the full trade history, psychology tags that attach intent to each position, and an LLM digest that turns a week of activity into one specific, testable experiment. One React Native codebase, designed mobile-first for both stores.
In active development. The capture pipeline and insight engine are built and working; we’re now hardening the native iOS and Android builds ahead of store submission. The marketing site is live — the apps are the current sprint.
Scope of engagement
Stack
6 systems, one product.
Screenshot auto-import
Drop in a TradingView, ThinkOrSwim, or broker screenshot and the OCR pipeline lifts entry, exit, P&L, and timestamp into a structured trade. The journal fills itself.
Pattern detection at scale
The engine reads across thousands of trades to surface what actually prints — and the habits quietly giving it back. No queries, no pivot tables.
Psychology tagging
FOMO, revenge, conviction, A+ setup, rule break. Tagged by hand or inferred by the model, so the record holds intent alongside the numbers.
Sunday AI debrief
A weekly digest of what worked, what cost money, and one specific experiment to run next week. The loop that turns a log into a practice.
Live AI feed
Pattern, Edge, Timing, Suggest, Insight, and Risk notifications delivered as the trade history grows — insight that arrives instead of waiting to be looked for.
Owned, portable, private
Encrypted at rest, never sold, never used for public model training, and exportable to CSV at any time. The record belongs to the trader.