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AI Trading Council — Multi-Agent Trading System
Our project is a multi-agent AI trading system designed to support automated and intelligent decision-making in financial markets. Instead of relying on a single AI model, the system uses specialized agents that analyze different aspects of the market, including technical indicators, market trends, and risk. Each agent provides its own analysis, and an orchestration layer combines these perspectives to generate a final trading decision. The system can then interact with Alpaca's trading API to execute strategies in a controlled environment. The goal is to demonstrate how AI agents can collaborate to make trading workflows more systematic, explainable, and adaptable. By combining market analysis, risk assessment, and automated execution, our project explores a practical architecture for AI-powered algorithmic trading.
4 Sep 2026
