AI multi-agent system for comprehensive Bitcoin (BTC) analysis, combining financial news, market performance, and AI-driven price predictions for investment recommendations.

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.

AI-powered financial analysis and investment recommendation system using multi-agent AI orchestration.

Multi AI agent system for financial analysis with CrewAI

MultiFinX is a multi-agent expert system designed for financial analysis and market reporting in Vietnam. Each agent simulates an economic expert, collaborating to generate insights, detect trends, and produce intelligent reports. Built to support data-driven decisions in a dynamic emerging market environment.

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.

Meet Our Al-Driven "Multi-Agent System" for Intelligent Financial Analysis, Predictive Trading, and Risk Management. (We are facing some issues in hosting, we'll be back soon. Meanwhile working sub-domain - chat.finforesight.dev )

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.

Multi-agent AI system for financial analysis and investment research. Uses LLMs, APIs, and agentic workflows (prompt chaining, routing, evaluator–optimizer) to analyze stocks, news, and financials.

Production-tested multi-agent financial research system built with OpenClaw. 4 specialized agents collaborate on data analysis, quality control, and visualization.

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.

AURA (Multi-Agent Retrieval-Augmented Generation System) is a next-gen solution for financial data processing. It features: 🧠 FinGPT for financial analysis and TableVision for data parsing. 🔍 Adaptive RAG Framework for real-time, accurate insights. 🌐 Human-in-the-Loop Mechanism for AI-human collaboration.

AI-powered financial trading agents system with multi-agent architecture for market analysis, risk assessment, and trading decisions

A multi-agent system powered by the phi framework, integrating web search and financial analysis capabilities.

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

A multi-agent system powered by LangChain's LangGraph that connects to a live brokerage account for real-time financial 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.

A powerful multi-agent financial assistant system built using FastAPI, Streamlit, OpenAI, and real-time financial APIs. This application supports intelligent query handling, live market data ingestion, voice interaction, risk analysis, document scraping, and more.

Production-ready Phidata AI agent implementations covering 16+ use cases: data analysis, financial advisory, healthcare diagnostics, content generation, web research, and multi-agent systems. Perfect starter kit for developers building intelligent, tool-equipped agents with memory and reasoning.

LangGraph-powered multi-agent system for industry analysis. Features specialized AI agents (research, financial, competitor intelligence) using AWS Bedrock (Claude 3 Haiku) and external APIs (arXiv, Yahoo Finance, News API). Synthesizes insights into executive reports with actionable recommendations.

An AI-powered quantitative trading system using reinforcement learning agents for autonomous buy/sell decisions, combined with LLM-based sentiment analysis and real-time data. It simulates and backtests strategies, integrating market trends, financial news, and multi-agent coordination for smarter trading.

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.

Multi-Agent Financial Analysis System

An autonomous multi-agent system that conducts end-to-end investment research: planning, analyzing, and refining stock insights through adaptive learning and workflow intelligence.

No description available

AAI-520 Final Project: Multi-Agent Financial Analysis System using Agentic AI

AI-powered stock analysis agent with multi-agent system for comprehensive market research and financial analysis.