Cloud-Based Data Analysis Identifying Key Financial Influencers at Scale

Abstract

Financial market expansion demands a heightened need for both identifying and studying influential factors that direct market volatility. This document investigates cloud-based data analysis methods which enable large-scale assessment of financial market influencers. This study develops a novel framework which uses cloud computing scalability to process real-time data alongside machine learning together with advanced analytics for handling extensive financial data sets. This study identifies influential entities which include hedge funds alongside institutional investors and social media figures and market analysts for analyzing their market impact on investment trends. This framework allows the research to enhance forecasting precision and deliver improved institutional and business decision-making and personalized financial strategies. The integration of cloud technologies provides processing capabilities that grow dynamically and process quickly based on current market conditions to enhance system speed and efficiency. This study will push forward financial risk management abilities together with analytical methods to create a data-based financial system.