StockVision: A Multi-Agent AI framework for Intelligent Stock Investment and Analysis using CrewAI

Abstract

This paper introduces an innovative multi-agent platform for stock investment and market analysis that leverages state-of-the-art artificial intelligence techniques alongside real-time financial data processing. Built on a robust Django-based backend emulating a SaaS architecture, the platform integrates CrewAI to orchestrate multiple specialized agents responsible for data acquisition, sentiment analysis, and predictive modeling. By harnessing live market data via the Yahoo Finance API, the system delivers actionable investment recommendations and comprehensive insights—making advanced analytical capabilities accessible even to users with limited financial expertise. Experimental evaluations demonstrate that this multi-agent framework not only enhances analytical precision but also supports a modular, flexible approach to addressing complex decision-making challenges in dynamic market environments. Consequently, the proposed platform represents a significant advancement in automated stock analysis and serves as a robust tool for both academic research and the development of practical investment strategies .