一个基于微软AutoGen框架的企业级金融分析系统，使用多Agent架构提供全面的财务分析、风险评估和量化投资分析功能。 核心功能: 多源数据收集 : 整合Yahoo Finance、Alpha Vantage、Quandl等多个金融数据源, 智能财务分析 : 基于AutoGen的多Agent协作分析, 风险评估 : VaR计算、压力测试、蒙特卡洛模拟, 量化分析 : 因子模型、投资组合优化、机器学习预测, 实时监控 : 系统性能监控和告警, 数据可视化 : 交互式图表和报告生成,

🔍 Analyze financial data seamlessly with the AutoGen Financial Analysis System, offering risk assessment and quantitative insights through a multi-Agent framework.

Multi-agent framework for financial analysis. Migrated from AutoGen to Microsoft Agent Framework. Features market data analysis, automated reporting, and RAG support.

An AI‑powered stock analysis tool inspired by AutoGen‑style multi‑agent workflows. It retrieves real‑time market data and generates educational investment insights using a custom multi‑agent reasoning system. Not financial advice.

A multi-agent AI system that delivers comprehensive business analysis by combining market research, technical evaluation, and financial insights. Uses OpenAI's GPT models with AutoGen to generate actionable business recommendations through a simple web interface.

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An Agent-powered financial analysis tool leveraging AutoGen agents for autonomous data retrieval, analysis, and report generation.

Agentic design pattern demos using AutoGen, featuring multi-agent systems for financial analysis, code generation, customer onboarding, blog writing, dialogue, and tool-assisted chess.

This repository features a basic agent built with AutoGen, integrated with a custom financial tool using the yfinance API. The agent fetches stock data and provides interactive visualizations using Dash. It demonstrates multi-agent interactions and real-time data analysis.

This repository contains a diverse set of projects demonstrating the power of Agentic AI and multi-agent collaboration. It explores various frameworks—including CrewAI, LangGraph, AutoGen, and the Model Context Protocol (MCP)—to build autonomous systems for tasks like web automation, financial analysis, and tool orchestration.