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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