PrimoAgent: Multi-Agent Stock Analysis

VN Stock Advisor is an intelligent stock analysis tool utilizing CrewAI's Multi-AI-Agent system.

Financial Agentic AI redefines financial analysis by integrating cutting-edge AI with real-time web search capabilities. This multi-agent system brings together financial insights and web intelligence to deliver precise, actionable, and up-to-date stock market information, all tailored to your needs.

A Multi-Agents LLM Financial Trading Framework for both individual stock analysis & portfolio management

This project leverages Large Language Models (LLMs) and a multi-agent framework to analyze stock prices, gather relevant news, and generate comprehensive financial investment reports for companies.

An AI-driven multi-agent trading platform for options trading and stock trends analysis. This project leverages advanced machine learning, real-time market data, and a modular multi-agent framework.

Multi Agent Stock Analysis App using AutoGen 0.4 and Azure AI Agent Service

Developed an Agentic AI system for financial analysis, leveraging LLMs (DistilBERT, Groq), Phidata Framework, YFinance API, and DuckDuckGo Search. It autonomously retrieves stock data, market news, and financial insights, combining agent-based reasoning with real-time information retrieval.

Multi AI Agent Collaboration for Trending Stock Financial Analysis

A sophisticated multi-agent financial analysis tool that provides comprehensive stock market analysis, risk assessment, and investment recommendations.

A multi-agent system built with Phidata(Agno) Framework that combines web search and YFinance data to provide comprehensive stock market analysis and investment insights. Features real-time data fetching, fundamental analysis, and automated research capabilities.

This project is a robust and scalable multi-agent stock investment and analysis platform built using a Flask backend and a Next.js frontend, leveraging CrewAI for sophisticated multi-agent interactions.

Agentic AI Stock Analysis is an AI-powered multi-agent system that analyzes stock market trends, provides analyst recommendations, and fetches the latest news using Groq AI models. It integrates financial and web search agents to deliver real-time insights.

🚀 All-in-One Docker Image for TradingAgents-CN - Multi-Agent Stock Analysis Platform with UI, API & MCP Support

A specialized AI Agent skill (like Claude, GPT) for technical analysis of the Vietnamese stock market. This skill automatically fetches historical data and performs multi-indicator analysis to provide investment recommendations in Vietnamese.

Stock analysis report generation using crewAI multi-agent AI.

This project demonstrates a multi-agent system built using AutoGen and Groq's LLaMA 3 model, designed to automate the analysis of Apple (AAPL) stock's daily closing prices over the past month. The system utilizes a collaborative architecture involving multiple AI agents—each assigned a specific role in the data analysis pipeline.

🚀 AI-powered financial market intelligence system using Google Gemini, LangChain, RAG & multi-agent orchestration. Real-time stock analysis, sentiment analysis, and ML-based predictions.

AI-powered stock trading decision system using CrewAI, RAG, and real-time market data for multi-agent financial analysis and strategy.

AI-powered Indonesian stock analysis CLI with multi-agent trading system, hedge fund-style scoring, and risk management. Designed for passive investors with 15 min/day.

A sophisticated stock analysis application powered by Ollama Gemma models, LangGraph multi-agent

An advanced multi-agent stock analysis system built with CrewAI that leverages collaborative AI agents to perform comprehensive financial analysis, extract insights from SEC filings, and generate detailed investment recommendations.

The Financial Research Analyst Agent is a hierarchical multi-agent system that provides comprehensive stock analysis by coordinating 11 specialized AI agents, 20+ analysis tools, a RAG knowledge pipeline, and a multi-provider data layer — all accessible through a Streamlit web app, REST API, and CLI.

AI-powered Multi Agents Investment analysis tool using Gemini 2.0 Flash for real-time stock recommendations, risk assessment, and market insights. Features dynamic S&P 500 analysis, sentiment scoring, and interactive charts.

Built AI agents using Llama 3.3 and the PhiData framework on GroqCloud. The project includes a Finance Agent for stock analysis and a multi-agent system comprising a Web Search Agent, Finance Agent, and Team Lead Agent for task coordination. It demonstrates AI-powered decision-making and seamless agent collaboration.

Welcome to Smart AI-Driven Stock Analysis App |multi-agentic | Azure AI Foundry | Autogen PoV

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Multi-agent AI stock analysis system with autonomous overnight optimization (signal weights + agent thresholds via Claude loop)