Masoud Poortorab

I am a quantitative trader and financial systems developer with a background in investment analysis, portfolio theory, and algorithmic trading, currently progressing through the CFA Program. My approach combines fundamental financial reasoning with systematic execution models, creating automated strategies rooted in discipline, risk control, and data integrity.

My focus is on XAUUSD (Gold), NAS100, US30, and BTCUSD, with a specialization in multi-timeframe adaptive systems using conviction-weighted scoring, Market Profile (TPO), and volatility-based position management. Every strategy I design undergoes extensive backtesting and stress testing, integrating quantitative concepts such as expected return, variance, and Sharpe ratio optimization.

I view algorithmic trading as a modern expression of finance theory in motion—where code meets rationality. My goal is to develop resilient automated systems capable of delivering sustainable alpha under real-world conditions.

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