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Open Access
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R. Santhosh Kumar, Somorjit Laishram, Sriram B., Pushpa R., Jeevitha K., Priyadarshani P.
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- PG student, PG student, PG student, PG student, PG student, PG student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet, Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet, Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet, Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet, Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet, Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry, Puducherry, Puducherry, Puducherry, Puducherry, Puducherry India, India, India, India, India, India
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Abstract
nThe stock market is a fascinating sector of the economy. It comes in a number of varieties. several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research. Stock price prediction can help people a great deal by helping them understand where and how to invest, which will lower their risk of losing money. Companies can also use this program to determine how much to aim for and how many shares to distribute during their Initial Public Offering (IPO) There have been a lot of noteworthy advancements in this sector thus far. Deep learning and machine learning are being investigated by numerous researchers as potential methods to predict values of stocks. Two methods are used by the suggested system to function: regression and classification. The method is used in classification to predict whether the closing stock price will increase or decrease the following day and in regression analysis to predict the closing stock price of a company.
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Keywords: Stock prices, stock market, machine learning, linear regression, trading, classification
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Computer Technology & Applications(jocta)]
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References
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | February 16, 2024 | |
| Accepted | May 17, 2024 | |
| Published | June 29, 2024 |
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