About Me

Engineering Algorithmic Precision for Modern Financial Markets

Bridging the gap between discretionary trading ideas and institutional-grade, low-latency execution software.

Who I Am & What I Do

I am M. Hassan, a specialized Algorithmic Trading Systems Engineer and Software Architect. Over the past 6+ years, I have engineered more than 140 automated trading systems, custom indicators, and quantitative execution engines for private traders, prop firm challenge participants, family offices, and registered investment advisors across 18 countries.

My expertise spans the entire algorithmic lifecycle: from translating discretionary strategies and Pine Script alerts into robust MQL4/MQL5 code, to architecting multi-threaded Python bots with sub-millisecond WebSocket data pipelines connecting directly to Interactive Brokers (IBKR), Binance, Bybit, and MetaAPI.

Unlike generic freelance developers who only write code, I understand the realities of market microstructure: spread spikes, slippage, liquidity gaps, tick variance, broker requotes, and psychological drawdowns. Every piece of software I build is engineered with defensive fail-safes and rigorous mathematical risk management.

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// CORE DEVELOPMENT PILLARS

1. Zero Curve-Fitting Philosophy

We test on 99.9% real tick data with variable spreads, slippage modeling, and Walk-Forward matrices to avoid over-optimized curve fitting.

2. Defensive Error Handling

Automated reconnect watchdogs, spread filters, news-release circuit breakers, and hard equity drawdown locks protect capital against broker anomalies.

3. 100% Intellectual Property Security

Full source code ownership transferred upon delivery, complete NDA protection, and strict confidentiality for all proprietary trading setups.

Technical Matrix

Languages, Platforms & Tooling

A comprehensive breakdown of the specialized programming and trading infrastructure I utilize.

Trading Platforms

MetaTrader 5: MQL5, Custom Indicators, Multi-Currency EAs, Strategy Tester Profiling
MetaTrader 4: MQL4, Legacy EA conversion, WinAPI integration
Interactive Brokers: TWS API, IB Gateway, ib_insync (Equities, Options, Futures)
TradingView: Pine Script v5, Webhook alerts, JSON payload dispatchers

Languages & Frameworks

Python 3: Asyncio, ccxt, Pandas, NumPy, Backtesting.py, PyQt6
MQL5 / MQL4: Object-Oriented Trade Classes, Custom Canvas Graphics
Node.js / Express: High-throughput Webhook bridges, WebSocket relays
C# / .NET: Standalone desktop trading terminals, FIX Protocol clients

Infrastructure & Deployment

VPS Optimization: Windows Server, Ubuntu Linux, Systemd process watchdogs
Tick Data & Modeling: Tick Data Suite, Dukascopy Real Tick Data 99.9%
Cloud & Bridges: MetaAPI, AWS EC2, DigitalOcean, Redis caching
Database Logging: PostgreSQL, SQLite, TimescaleDB for tick history

Competitive Advantage

Why Professional Traders Choose Me

Experience the difference of partnering with a dedicated quant systems engineer.

100% Source Code Ownership

You receive all raw .mq5, .mq4, and .py source files with comprehensive inline documentation.

< 4h Rapid Response Time

Direct communication via Telegram, WhatsApp, or Email without agency middlemen.

30 Days Post-Launch Warranty

Complimentary bug fixing, telemetry adjustments, and VPS installation assistance.

Strict NDA IP Confidentiality

Your proprietary rules and indicators are never shared, resold, or exposed.