Скачать или смотреть Investment Advisor Multi-Agent System

✨ 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁
The Investment Advisor Multi-Agent System v2 is a sophisticated, production-ready AI-powered investment advisory platform that leverages multiple specialized agents orchestrated through LangGraph to provide comprehensive stock analysis and investment recommendations. The system integrates GROQ for large language model (LLM) inference, Yahoo Finance for financial data retrieval, DuckDuckGo for news aggregation, Model Context Protocol (MCP) for standardized tool access, FastAPI for high-performance API services, and comprehensive security frameworks. The platform supports multiple interfaces, including Streamlit web UI, Node.js real-time dashboard, comprehensive CLI, and RESTful API, enabling flexible, secure, and extensible investment analysis workflows with enterprise-grade security and monitoring capabilities.

✨ 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗼𝘁𝗶𝘃𝗮𝘁𝗶𝗼𝗻
The complexity of modern financial markets and the need for data-driven investment decisions have created a demand for intelligent systems that can analyze vast amounts of financial data, news, and market information. The Investment Advisor Multi-Agent System v2 addresses this by combining specialized AI agents with advanced LLM capabilities, Model Context Protocol (MCP) integration, FastAPI backend services, and comprehensive security frameworks, providing both individual investors and financial professionals with powerful tools for comprehensive stock analysis, risk assessment, and investment recommendations

✨ 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀
🔹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿: Core orchestration engine with LangGraph workflow management and agent coordination
🔹 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: LLM (GROQ), financial data (Yahoo Finance), and news search (DuckDuckGo) integrations
🔹 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (MCP) Integration: Standardized tool access with 58-65% performance improvement
🔹 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: High-performance RESTful API with async support and comprehensive security
🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: Comprehensive security middleware, threat detection, and monitoring
🔹 𝗠𝘂𝗹𝘁𝗶-𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Streamlit UI, Node.js dashboard, CLI, and RESTful API
🔹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Docker, Kubernetes, monitoring, and observability stack
🔹 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Prometheus, Grafana, health checks, and alerting systems

Check the publication here: https://app.readytensor.ai/users/baljit.ob...