This project implements a multi-agent investment decision system where AI agents simulate different roles such as bull and bear researchers and financial analysts. The agents collect information, conduct analysis, and engage in a debate room enhanced by LLM reasoning to reach investment decisions. The system uses Gemini and OpenAI-compatible LLMs as its core reasoning engines and serves as a proof-of-concept for exploring AI-driven financial analysis.