STOCK MARKET PREDICTION USING BIG DATA

STOCK MARKET PREDICTION USING BIG DATA

Dr C K Gomathy, Assistant Professor, SCSVMV Deemed to be University, India

Ms T. Lalitha Sagari, Ms R.V.N. Rutvika, Ms K. Sai Lakshmi, Ms S. Kavya Sree

UG Scholars- SCSVMV Deemed to be University, India.

ABSTRACT

Big data is a new and emerging buss word in today’s times. Stock market is an up and ever evolving, volatile, uncertain and intriguingly potential niche, which is an important extension in finance and business growth and prediction. Stock market has to deal with a large amount of vast and distinct data to function and draw meaningful conclusions. Stock market trends depend broadly on two analyses; technical and fundamental. Technical analysis is carried out using historical trends and market values. On the other hand, fundamental analysis is done based on the sentiments, values and social media data and responses. Since large, complex and complicated and exponentially growing data is involved, we use big data analysis to help assist in the prediction and drawing accurate business decisions and profitable investments.

Keywords:  Big data, prediction, Stock Market, Machine Learning.