Predictive Analysis of Financial Market

Abstract

Financial markets are highly dynamic and influenced by various economic, geopolitical, and psychological factors. Predictive analysis in the financial domain leverages statistical techniques, machine learning models, and historical data to forecast market trends, stock prices, and investment opportunities. This study focuses on predictive analysis for the S&P 500 index using data-driven methodologies, including time series analysis, regression models, and deep learning approaches.