LLM-Driven Peer Competitor and Stock Analysis

The competitive landscape is a significant factor in strategic corporate decision-making, and therefore the identification of peer competitors is crucial for businesses, investors, and financial analysts. This paper introduces an automated system that utilizes Large Language Models (LLMs) and financial data retrieval methods to improve competitor identification for U.S. firms. By combining company descriptions from Wikipedia with financial information retrieved through APIs, the suggested system greatly enhances the effectiveness of market analysis and competitive intelligence. The system offers useful insights to corporations for strategic planning and investors for making smart decisions. Automation of competitor identification saves manual labor along with offering accurate and real-time data availability, thus making it a scalable solution specific to the U.S. financial market.