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Projects
Applied Chaos: Building a Real-Time AI Trading System
A real-time financial trading application exploring how machine learning can operate inside noisy, constantly changing systems. Built around a canonical one-second market data stream, the platform combines live visualization, technical analysis, neural forecasting and an adaptive ensemble that learns from the accuracy of its own predictions. Rather than chasing certainty, the project treats financial markets as a feedback system: observe, predict, act, measure and adapt.
