INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Prediction of stock prices is a challenging task these days, but with artificial intelligence, it can be made superior, the stock is unpredictable curve, prediction f stock market is covered with the complexity and instability. Stock prices are constantly changing every day. Estimating the stock market has a high demand for stock customers. Applying all extracted rules at any time is a major challenge to estimate the future stock price with high accuracy. The latest prediction techniques adopted for the stock market such as supervised learning, unsupervised learning, reinforcement learning, linear regression, polynomial regression, Decision tree, long short-term memory (LSTM) is studied and analyses in this framework work. This paper is about to discuss different techniques related to the prediction of the stock market.
Keywords:
linear regression polynomial regression Decision tree long short-term memory (LSTM).
Cite Article:
"A Survey Study on Stock Market Prediction using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1644-1649, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205213.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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