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.

Cryptohopper utilizes advanced AI algorithms to facilitate automated trading in the cryptocurrency market. It allows users to create and customize trading strategies, analyze historical data, subscribe to the best signal providers, and access comprehensive portfolio management tools. The platform supports a variety of exchanges, enabling seamless trading experiences and performance optimization through backtesting and real-time data analytics.