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Machine Learning Approach for Cloud Data Analytics in IoT
book

Machine Learning Approach for Cloud Data Analytics in IoT

by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri
July 2021
Intermediate to advanced
528 pages
13h 35m
English
Wiley-Scrivener
Content preview from Machine Learning Approach for Cloud Data Analytics in IoT

14Prediction of the Stock Market Using Machine Learning–Based Data Analytics

Maheswari P. and Jaya A.*

Department of Computer Applications, B.S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

Abstract

The economy is the foremost part of any countries establishment of an asset in stock market is a financial barometer. A barometer is data points that represent trends in the market. Indian stock market has two exchanges, and the oldest stock exchange is the Bombay Stock Exchange (BSE). In terms of volume, The National Stock Exchange is the largest stock exchange. Exchanges are the actual prices where stocks are bought and sold. Whereas an index is a grouping of company stocks that measures changes in the broader stock market or a sector of the stock market. Two Indian market indexes are Sensex and Nifty. Earlier prediction of the stock market was usually forecasted by the financial professionals. Nowadays, with the advancement of data analytics and machine learning techniques computer professionals also embraced prediction. Machine learning and data analytics are some of the most existing recent technologies.

This study aims to predict the five sectors like pharmaceuticals, banking, fast-moving consumer goods, power, and automobile sectors. From the five sectors selected, the following companies are selected: pharmaceutical sector: Cipla and Torrent Pharma; banking sector: ICICI bank and SBI; FMCG sector: ITC and Hindustan Unilever; power sector: Adani ...

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Publisher Resources

ISBN: 9781119785804Purchase Link