Projects

From problem to result.

My personal labs — open-source or shipped. This is where I test my engineering standards outside the day job.

Selected work

Python · Statistics

Every strategy must clear this shield before going live — proof before promise.

The problem: Telling a real edge apart from noise and overfitting, before risking a single dollar.
The approach: A statistical validation harness: Deflated Sharpe Ratio, Combinatorial Purged CV, alpha/beta measures and a directional gate.
The result: Every strategy must clear this shield before going live — proof before promise.

MQL5

A guardrail that watches risk in real time and protects traders from their own worst impulses.

The problem: Traders skip the news, oversize their lots and trade on tilt — discipline breaks under pressure.
The approach: An MQL5 risk & discipline indicator: news-gate, drawdown-budgeted lot sizing, tilt-lock.
The result: A guardrail that watches risk in real time and protects traders from their own worst impulses.

MQL5 · In progress

Under construction — every module must pass the validation harness before it ever goes live.

Coming soon

The problem: A single strategy breaks when the market regime shifts; you need a decorrelated toolbox.
The approach: A multi-strategy MQL5 EA / indicator: togglable modules, per-strategy validation gate, shared risk-engine.
The result: Under construction — every module must pass the validation harness before it ever goes live.

StackMQL5Coming soon

Python · React

Your data stays on your machine; the tool mirrors your own patterns back and trains your discipline.

The problem: Classic trading journals log trades but never actually fix the behavior.
The approach: A local-first desktop trading journal: a Python core, a React interface and a discipline-focused coaching engine.
The result: Your data stays on your machine; the tool mirrors your own patterns back and trains your discipline.

StackPython + ReactView on GitHub →

MQL5

A clean utility that traders keep pinned to their chart.

The problem: Knowing at a glance which market session is live and when liquidity arrives.
The approach: An MQL5 market-session tool: clear visualization of sessions, overlaps and key time windows.
The result: A clean utility that traders keep pinned to their chart.

Next.js · i18n

This very site — a living showcase of how I build: precise, fast, international.

The problem: A recruiter portfolio AND a product store, in 3 languages, with no performance compromise.
The approach: Next.js 16, App Router, i18n FR/EN/FA, MQL5 store, static rendering and careful SEO.
The result: This very site — a living showcase of how I build: precise, fast, international.