Autonomous Stock Analyst Agent Project Contributor
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Fine-tuningI built an AI-driven stock analyst agent that combined machine learning techniques with financial domain knowledge to automate key investing tasks. The project involved designing, implementing, and refining a model that continuously improved after analyzing financial text data and trade outcomes. I developed a learning loop enabling the system to revise its framework based on prior trades using reinforcement learning from human feedback. • Automated collection and labeling of market, news, and financial report text data. • Iteratively improved model decision-making via continuous learning cycles. • Labeled and evaluated AI outputs for accuracy and relevance in stock analysis. • Utilized Python and internal frameworks for AI training and data preparation.