Stock Market Multi-Agent is an advanced open-source Python framework designed to streamline automated trading through coordinated AI agents. Each agent specializes in a specific function: Data Acquisition agents fetch and clean real-time market feeds, Signal Generation agents apply machine learning models for predictive insights, Backtesting agents rigorously evaluate strategies on historical datasets, Portfolio Management agents optimize asset allocation, Execution agents interface with brokerage APIs to place orders, and Risk Management agents enforce safeguards. The config-driven architecture allows plug-and-play modules, supporting customization of algorithms, data sources, and risk parameters. Suitable for research, live trading, and development, it accelerates quantitative strategy deployment and operational scalability.

AI Hedge Fund 5zu provides a complete pipeline for quantitative trading: a customizable environment for simulating multiple asset classes, reinforcement learning–based agent modules, backtesting utilities, real-time market data integration, and risk management tools. Users can configure data sources, define reward functions, train agents on historical data, and evaluate performance across key financial metrics. The framework supports modular strategy development and can be extended to live broker APIs for deploying production-level trading bots.