From Losing Trades to AI-Powered Insights: Building an Automated Stock Analyzer

This project demonstrates a practical application of LLMs for automating financial research, converting unstructured news and SEC filings into structured daily market intelligence. The developer's cost optimization strategy—shifting from real-time to batch processing with intelligent caching—reveals critical trade-offs AI engineers must navigate when deploying expensive language models at scale.