AI Crew for Automated Stock Fundamental Analysis Q&A

This workflow implements the backend Stock Q&A engine of an AI-powered application for fundamental stock analysis. It leverages a crew of AI agents—Senior Researcher, Visionary, and Senior Editor—to automatically generate relevant questions and retrieve precise answers from company annual reports (e.g., SEC 10K PDFs) stored in a Supabase Vector Store. Incoming queries via webhook are processed through vector search, delivering structured responses back via the webhook.

Key benefits include significant time savings for financial analysts, investors, and researchers by automating the tedious process of sifting through dense SEC filings. It ensures comprehensive coverage of fundamental metrics like revenue, earnings, risks, and management discussion, reducing human error and enabling scalable analysis across multiple stocks.

Use cases span investment research, portfolio management, educational simulations in finance courses, and automated reporting. Pair it with the front-end CrewAI Replit environment or a companion n8n template for full automation: upsert PDFs first, then trigger Q&A via webhook for instant insights.