• Manjunatha S
• Dr.K Ramachandra

- Big data analytics plays a vital role within the business for creating higher predictions over business information that is collected from the real world. Finance is that the new sector wherever the big data technologies like Hadoop, No SQL are creating its mark in predictions from financial data by the analysts. It’s a lot of fascinating within the stock exchange choices which might predict on a lot of profits of stock exchange. For this stock exchange analysis each regular information and historical information of specific stock exchange are needed for creating predictions. There are varied techniques used for analyzing the unstructured information like stock exchange reviews (day-to-day information) and historical statistic of economic information severally. This paper involves discussion regarding the strategies that square measure used for analyzing each varieties of information. Huge information examination can be utilized in numerous spaces for precise forecast and investigation of the enormous measure of information. They encourage the disclosure of critical data from huge information, which is concealed generally. In this paper, we depict a methodology for investigation of the securities exchange to comprehend its unstable nature and anticipate its conduct to make benefits by putting resources into it. We initially give writing overview of past deals with this domain. Then we provide a methodology of our approach which contains data collection and machine learning algorithms.

Big Data, Stock Market forecasting, stock market, temporal data, big data

"A STUDY ON ANALYSIS OF STOCK MARKET BY USING BIG DATA AND FINANCIAL ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.782-791, June 2019, Available :http://www.jetir.org/papers/JETIR1908413.pdf

"A STUDY ON ANALYSIS OF STOCK MARKET BY USING BIG DATA AND FINANCIAL ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp782-791, June 2019, Available at : http://www.jetir.org/papers/JETIR1908413.pdf