HARNESSING BIG DATA FOR ALGORITHMIC TRADING: TRANSFORMING FINANCIAL MARKETS WITH INTELLIGENCE

Abstract

 Big data analytics are powering algorithmic trading, which is revolutionizing financial markets by enabling fast, data-based decision-making.  While algorithmic trading leverages machine learning, artificial intelligence, and big data to analyze market trends, complete transactions, and monitor risk with unprecedented speed and precision, traditional trading relies on human judgment and experience. Algo trading enhances efficiency, reduces emotional influence, and enhances trade execution using advanced techniques that include sentiment analysis, deep learning, and statistical modelling. This research investigates how algorithmic trading is associated with big data as compared to traditional trading methods and highlights how it has transformed finance in the present day.