Project
Coming soonle Journal
The trading journal that makes you disciplined — 100% local, with a discipline-focused coaching engine.
StackTauri 2 · React · SQLite
The problem
Classic trading journals log trades but never actually fix the behavior.
The approach
A local-first desktop trading journal: a Rust core (Tauri 2), a React/TypeScript UI, a 100% local SQLite store and a Python sidecar for MetaTrader 5; a discipline-focused coaching engine.
The result
Your data stays on your machine; the tool mirrors your own patterns back and trains your discipline.
Under the hood
- Stack
- Tauri 2 (a Rust core), a React + TypeScript UI, a SQLite store — 100% local, no data ever leaves the machine — and a Python sidecar as the MetaTrader 5 connector.
- Behavioural analysis
- Deterministic, offline engines: revenge-trading, tilt and overtrading detection, with prop-firm rule compliance checks.
- Prop-firm rule base
- The rules of 6 prop-firms built in (FundedNext, FTMO, FundingPips, The5ers, Alpha Capital…) to flag a breach before it blows an account.
- Systems & robustness
- Signed auto-update (Ed25519), multi-profile with data isolation and a per-profile PIN, system tray, and FR/EN/FA i18n.
- Product & scale
- An in-house design system + GSAP animations, and an engine that handles 28,000+ trades.
Full-stack, systems and product on a real problem: behaviour. The moat isn't a feature — it's discipline coaching.