Agentic Financial Analytics
Interactive lecture, GitHub Classroom, 1900
Explore how Python, financial data, and AI agents can be combined to build modern analytics workflows. The lecture moves from core data handling and empirical analysis to agentic tools that help collect information, automate research steps, structure workflows, and support financial decision-making.
Through short, practice-oriented materials, students learn to use AI as a powerful analytical assistant while staying critical, reproducible, and in control.
Materials: cafawo/AgenticFinancialAnalytics Slides: wbk.ing/AgenticFinancialAnalytics/