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Data Science and Intelligent Computing Techniques

The Complexity Analysis of Stock Market Price and Investment

Authors: Jitesh Kumar Meena and Rohitash Kumar Banyal


Publishing Date: 13-01-2023

ISBN: 978-81-955020-2-8

DOI: https://doi.org/10.56155/978-81-955020-2-8-16

Abstract

In these days the stock market or stock exchange is the most significant event in the world of financial market. The present the economy of the world is significantly subject to the cost of financial exchange. People of background of business or educational are very attractive to the stock market. They choose to put resources into securities exchange based on some expectation or earlier fundamental information. This prediction is basically performed by two ways one is using analyzing the information by gathering from social media, online news, comments and second is by historical stock data. Many factors are involved in the prediction of stock like – rational and irrational behavior, physical factors vs. physiological, market rumors, investor sentiment etc. This article is an extensive study as it incorporates pre-handling of the stock market dataset, use of different component designing procedures, joined with a tweaked profound learning-based framework for securities exchange cost pattern expectation.

Keywords

Stock, Stock Market, Stock Price Prediction, Investment, Regression

Cite as

Jitesh Kumar Meena and Rohitash Kumar Banyal, "The Complexity Analysis of Stock Market Price and Investment", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 185-195. https://doi.org/10.56155/978-81-955020-2-8-16

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