📈 Stock Analysis System (Agent-Based)

This project implements an agent-based stock analysis system that automates financial analysis using multiple specialized AI agents.

The system follows a task-driven architecture where agents collaborate to analyze stock-related information, perform calculations, and retrieve financial data using modular tools.

Project Overview

• Agent-based architecture for stock analysis
• Task and agent configuration using YAML files
• Modular tools for calculations and SEC data access
• Central orchestration using a crew-based workflow

Project Structure

stock_analysis/
├── config/
│ ├── agents.yaml
│ └── tasks.yaml
├── tools/
│ ├── calculator_tool.py
│ └── sec_tools.py
├── crew.py
├── main.py
├── env.example
├── pyproject.toml
└── README.md

Environment Configuration

The required environment variables are listed in env.example.
Copy this file and update values as needed before running the project.

Notes

This project demonstrates agentic AI workflows applied to stock analysis and is intended for learning and experimentation.