An intelligent system designed to provide comprehensive stock analysis and investment recommendations. The application leverages AI agents to analyze financial data, market trends, news, and SEC filings to generate detailed investment reports for any publicly traded company.

• Research and collect recent news and market sentiment
• Analyze financial metrics and performance
• Examine SEC filings (10-K and 10-Q forms)
• Generate comprehensive investment recommendations

• Python: Primary programming language
• CrewAI: Framework for orchestrating multiple AI agents in a workflow
• LangChain: Used for connecting various AI components and tools

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up your environment variables by copying the .env.example file to .env and filling in your API keys:

   cp .env.example .env
   

   Then edit the .env file with your API keys for:
   • SERPER_API_KEY
   • BROWSERLESS_API_KEY
   • SEC_API_API_KEY
   • OPENAI_API_KEY
   • GROQ_API_KEY

Run the main script with a company name:

python main.py --company "Apple Inc."

The system will generate a comprehensive investment report in the reports directory.

• main.py: Entry point for the application
• agents/: Contains the AI agent definitions
• tools/: Custom tools for the agents
• tasks/: Task definitions for the agents
• utils/: Utility functions
• reports/: Generated investment reports

MIT