Multi-agent AI trading system using LLM-powered analyst agents (Buffett, Munger, Burry, etc.) with free data sources (SEC EDGAR + yfinance) and Alpaca integration.

TubeWhale is an open-source AI framework that automates YouTube video search, transcript retrieval, and content summarization. Users input a keyword, and TubeWhale's multi-agent system expands the search, processes video data, and provides structured summaries. Ideal for researchers and analysts, it simplifies video content exploration.

Build a production-ready multi-agent quantitative analyst system where AI agents scrape market data, analyze trends, and generate investment reports. Uses FastAPI for orchestration, Streamlit UI, Azure PostgreSQL for logging, and Azure Blob Storage for archiving.

Autonomous Multi-Agent AI system for financial research. Orchestrates specialized AI analysts to debate technical, fundamental, and sentiment data, reaching verified consensus on high-conviction investment strategies.

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.

Finsage AI is an AI-powered multi-agent system for retail investors and analysts, built with Python, LLAMA 3.1 (8B Instant), and Phidata. It delivers real-time financial insights, news summaries, and simulations to support smarter, data-driven investment decisions.

An intelligent multi-agent system for automated data analysis and visualization. Built with LangGraph, OpenAI and Daytona Sandbox for secure code execution.

AI Data Analyst with Multi-Agent System

A multi-agent system where Analyst Agent queries data and Remote Compliance Bot sanitizes PII via A2A protocol before delivery.

AI-powered multi-agent system where a Researcher gathers data and an Analyst interprets insights to generate smart, automated reports.

A multi-agent system that acts as a personal financial analyst. It doesn't just "chat"—it scrapes the web, analyzes data, and writes a report.

A Multi-Agent LLM system to act as an autonomous data analyst, synthesizing structured internal data (Pandas) with unstructured real-time web intelligence (Serper API) to quantify supply chain risks.

The Multi-Agent Financial Research Assistant is an AI-powered system that helps investors and analysts make smarter financial decisions. It uses multiple specialized agents to fetch, analyze, and summarize real-time financial data and news.

Professional-grade equity research assistant that turns natural-language questions into clear investment briefings. The system blends multi-agent orchestration, retrieval-augmented generation, and live financial data to produce analyst-style reports in seconds.

The Multi-Agent Campaign Chatbot is an AI-driven system designed to assist in crafting comprehensive marketing campaigns. Utilizing LangGraph and LangChain, the chatbot orchestrates multiple specialized agents—such as content writers, graphic designers, data analysts, and brand managers—to collaboratively generate creative and data-driven marketing

This project is a powerful multi-agent AI system built using Phi, enhanced with Groq's LLaMA 3.1 models, capable of: 📊 Fetching live stock data (price, fundamentals, analyst ratings, and news) 🌐 Performing real-time web searches with source citations 🤖 Responding intelligently using specialized agents for each task

Мультиагентная система аналитики данных

The Multi-Agent System is designed to assist data analysts in their daily tasks by leveraging multiple specialized agents, each an expert in a specific domain. Together, these agents act as intelligent assistants, streamlining and enhancing the analyst’s workflow.

AI Data Analyst Multi-Agent System.

This project is an autonomous AI-driven data analyst system. It allows users to upload a dataset (CSV, Excel, Parquet), and withone click , it produces: Metadata extraction Analysis plan generation, KPI computation, Visualization generation, Optional insights & narratives. It effectively automates the daily workflow of a human data analyst

Multi-agent LLM system for stock market analysis, combining financial data retrieval, news sentiment extraction, and analyst recommendation aggregation using CrewAI, FinBERT, and OpenAI APIs.

Cteated a multi agent financial analyst system using Groq and Phi-data

Data Analyst AI Agent - Multi-agent system for natural language to SQL conversion (Google AI Agents Capstone 2025)

Agentic FB Ads Analyst — multi-agent system that analyzes ad performance and generates data-driven creative recommendations.

IntelliDoc Insights is an intelligent multi-agent system designed to act as a "conversational data analyst".

Multi-agent AI system that builds and reviews data pipelines using 3 specialized Claude agents — Analyst, Builder, and QA

Multi-agent financial analyst system using LangGraph, FAISS, and Llama 3.3 70B to generate structured analyst briefs from SEC filings, live market data, and financial news.

NBA-AI-Analyst: A multi-agent LangGraph system for retrieving NBA data, computing analytics, and delivering insights through a Streamlit chatbot.

AI-powered multi-agent system built with Streamlit. Includes News Analyst, Data Analyst, Policy Reviewer, and Innovation Scout agents to provide insights on sustainability, policies, datasets, and innovations with a modern dark UI.

Advanced multi-agent financial auditing system using CrewAI — three specialized AI agents (Researcher, Analyst, Report Writer) autonomously generate professional financial audit reports with real-time data.