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 Stock Price prediction system using LLM and Multi-agent-system

WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application

Stock Market modeled as a Multi-Agent System

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.

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.

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

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

This project utilizes a multi-agent system powered by crewAI to monitor, analyze, and strategize in the financial markets, specifically focusing on stock trading. Each agent in the system specializes in a unique aspect of trading, working together to provide comprehensive insights and actionable strategies.

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.

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.

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.

Automated YouTube content pipeline that generates scripts, voiceovers, and videos using AI. Supports OpenAI/Anthropic for script generation, ElevenLabs for text-to-speech, and Pexels/Pixabay for stock imagery. Features multi-agent orchestration, SSML processing, batch generation, and a modular provider system.

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Hierarchical Multi-Agent System for Top 5 US Stock Selection

AI-powered opportunity detection system for Indian stock market using multi-agent intelligence.

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

An intelligent multi-agent AI system for stock analysis and investment recommendations, powered by [crewAI](https://crewai.

A Python-based multi-agent system designed for in-depth stock market analysis and automated equity research report generation.

A modular, Agentic AI system using the new Microsoft Agent Framework to query and analyze stock prices using live APIs, RAG, and multi-agent orchestration in Azure

Building a Multi-Modal AI Agent with an Enhanced Retrieval Augmented Generation(RAG) System for Web Search, Stock and Cryptocurrency Investment Analysis.

🧠 Investment Analysis V3 - multi-agent system doing financial analysis (financial ratios analysis) of a company stock 📈 + sentiment analysis 👍👎of company news 📰 impacting stock + 🧑‍🤝‍🧑peer comparison and making an investment recommendation. Powered by Agno based Gen AI agent and Google Gemini flash LLM.

Synaptra is revolutionizing venture investment with AI-powered tools that identify, evaluate, and execute high-potential opportunities. Our multi-agent system includes agents for financial analysis, risk evaluation, and stock valuation, delivering data-driven insights to help investors make smarter, informed decisions.

Built an interactive stock analysis application using Streamlit that integrates a CrewAI multi-agent system for advanced insights. The app uses Yahoo Finance for real-time stock data and leverages Prophet for time series forecasting, providing users with a comprehensive tool for financial analysis, including recommendations.

This project focuses on a supply chain scenario using a multi agent system in JADE. Customers would order specified computers from a manufacturer, the manufacturer would then build the computers from the stock of items in its warehouse.