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.

Themis For Crypto is an all-in-one tool designed to optimize cryptocurrency trading through AI automation. It integrates machine learning algorithms to back-test strategies, create trading bots, and provide real-time reporting and optimization. Traders can use these powerful features to improve trade outcomes without deep technical knowledge, combining AI research, analysis, and trading to streamline and enhance the overall trading experience.

Deep Trading Agent provides a complete pipeline for algorithmic trading: data ingestion, environment simulation compliant with OpenAI Gym, deep RL model training (e.g., DQN, PPO, A2C), performance visualization, backtesting on historical data, and live deployment through broker API connectors. Users can define custom reward metrics, tune hyperparameters, and monitor agent performance in real time. The modular architecture supports stocks, forex, and cryptocurrency markets and allows seamless extension to new asset classes.