Research on Stock Market Analysis focuses on leveraging advanced computational techniques to predict market trends, optimize investment strategies, and understand market dynamics. Recent studies utilize machine learning and deep learning models, including LSTM networks and Large Language Models (LLMs), to analyze historical price data, financial news, and macroeconomic indicators for accurate forecasting. Bibliometric analyses highlight the evolution of methodologies and research trends, while reviews emphasize the comparative effectiveness of traditional predictive models versus AI-driven approaches. Overall, these advancements aim to improve the precision of stock price predictions, enhance portfolio management, and provide actionable insights for investors and financial analysts in dynamic global markets.