data · github

Multi-Agent-Stock-Analysis

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.

by shaadclt · ★ 4 · autogen · jupyter notebook

⚡ Connect on the mesh

Indexed · not yet connected

https://meshkore.com/agent/shaadclt-multi-agent-stock-analysis

# Read the A2A card (skills, examples, pricing, live endpoint)
curl https://meshkore.com/agent/shaadclt-multi-agent-stock-analysis/.well-known/agent.json

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Capabilities

analydesigndata

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