Analyzing the Influence of AI Technology on Retail Investor Approaches in Stock Market Analysis

Abstract

At an unprecedented rate, artificial intelligence technologies are advancing, and most industries are impacted by this. The financial sector is no exception. This abstract explores how retail investors approach stock market analysis, which grows at a tremendous rate on account of influence from AI, technologies that shape investment strategies, decisions, and overall dynamics in the market. Recently, the availability of access to advanced AI-driven tools and applications has been unprecedented for retail investors, democratizing capabilities that were only accessible by institutional investors. The applications at one's fingertips include predictive analytics, sentiment analysis through NLP, machine learning algorithms designed to identify patterns, and automated trading systems.