Generative AI for Stock Market Analysis and Portfolio Optimization

Keeping up with rapid financial market shifts requires more than traditional spreadsheets. By combining generative AI with structured financial data, you can build smart tools that analyze stock performance and optimize asset allocation automatically. This text-based course guides you through creating your own AI-powered financial analysis systems from scratch. You will start by mastering the core concepts of generative AI, financial APIs, and prompt engineering tailored for market data. Then, you will progress to building intelligent agents that retrieve real-time financial metrics, evaluate company performance, and implement classic investment strategies like Modern Portfolio Theory. What you'll learn: - Understand the fundamentals of generative AI and financial data retrieval - Build autonomous AI agents using LangChain to query and analyze stock metrics - Apply Modern Portfolio Theory and investment frameworks to optimize asset allocation - Implement structured data parsing to extract insights from financial reports - Design secure and repeatable workflows with modern Python and virtual environments This course is structured as a step-by-step reading and coding guide, moving from foundational financial and AI definitions to fully functional local scripts. You will read clear explanations, analyze comprehensive code examples, and practice your skills through structured text exercises. Designed specifically for beginners, this course requires no prior experience in artificial intelligence or quantitative finance. A basic familiarity with Python is helpful but not required to get started. Begin your journey into AI-driven investing and start building your financial analysis tools today.