A SURVEY ON STOCK INVESTMENT RISK ANALYSIS USING CREWAI MULTI- AGENT SYSTEM

Stock Investment risk analysis plays a crucial role in financial decision-making, demanding advanced methodologies to navigate the complexities of modern markets.Artificial Intelligence (AI), particularly multiagent systems, has emerged as a transformative tool in addressing these challenges.This paper examines the theoretical foundations, applications, and future prospects of multi-agent AI systems in financial risk analysis, with a focus on the CrewAI framework powered by Llama 3.2-3b.By synthesizing contemporary research, the review highlights key advancements, persistent challenges, and potential directions in this evolving domain.