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Stock Market Prediction using Machine Learning

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Stock Market Prediction using Machine Learning


Subham Kumar Gupta | Dr. Bhuvana J | Dr. M N Nachappa



Subham Kumar Gupta | Dr. Bhuvana J | Dr. M N Nachappa "Stock Market Prediction using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3, April 2022, pp.2046-2061, URL: https://www.ijtsrd.com/papers/ijtsrd49868.pdf

Stock market prediction is a typical task to forecast the upcoming stock values. It is very difficult to forecast because of unbalanced nature of stocks. In this work, an attempt is made for prediction of stock market trend. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. However instead of using those traditional methods, we approached the problems using machine learning techniques. We tried to revolutionize the way people address data processing problems in stock market by predicting the behavior of the stocks. In fact, if we can predict how the stock will behave in the short-term future we can queue up our transactions earlier and be faster than everyone else. In theory, this allows us to maximize our profit without having the need to be physically located close to the data sources. We examined three main models. Firstly we used a complete prediction using a moving average. Secondly we used a LSTM model and finally a model called ARIMA model. The only motive is to increase the accuracy of predictive the stock market price. Each of those models was applied on real stock market data and checked whether it could return profit.

Stock market prediction


IJTSRD49868
Volume-6 | Issue-3, April 2022
2046-2061
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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