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I'm a Computer Science undergraduate at the Virtual University of Pakistan and an emerging technologist with hands-on experience in AI, cybersecurity, and embedded systems. Alongside his studies, he manages operations at his family business in Karachi, leading a team while funding his education and self-driven projects. He has participated in international programs, completed CS50 from Harvard, and actively builds AI models, chatbots, and hardware prototypes. Hamza is motivated by innovation, hard work, and using technology for real-world impact—especially in sustainability and climate-related initiatives.

QuantAgent was developed to solve the "Black Box" problem in autonomous finance. While most trading bots offer zero visibility into their logic, QuantAgent utilizes a strictly modular 3-Role System to ensure every trade is deterministic and auditable. 1. Signal Pipeline: Processes raw market data, fusing RSI, MACD, and ADX indicators while identifying market regimes (Trending vs. Ranging) to adjust strategy sensitivity. 2. Strategy Engine: A mathematical core that calculates confidence scores and scales position sizes. It features a custom Momentum Filter that prevents "buy" signals during macro downtrends, protecting capital in volatile shifts. 3. Execution Agent: A robust paper-trading environment with 8-point pre-trade validation, automated circuit breakers, and a system-wide "Reset" for rapid iteration. The project includes a real-time dashboard with a Trust Panel that exposes the agent’s inner thoughts, confidence levels, and risk checks. Designed with ERC-8004 identity in mind, QuantAgent bridges the gap between complex AI logic and on-chain accountability.
12 Apr 2026