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Predictive Analysis On Dynamic Stock Market Using Machine Learning
Logeshwaran Udayakumar,  Karthikeyan S
Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit inseveral fields together with political economy, history, finance, arithmetic, and computing. The volatile nature of the exchange makes it troublesome to use easy time-series or regression techniques. The efficient prediction algorithm gives the traders more benefit. The accuracy of prediction models depends on the features selected which will be the input to the prediction model. The results suggest that the data captured from non-traditional experts like google and Wikipedia and the data captured from desperate data sources can improve the performance of financial prediction model. In this paper I have analyzed some stock prediction models. I have also done the survey on stock prediction models.
Keywords- stock market, BSE, Artificial neural networks, support vector machines, stock market efficiency and neural network, Efficient Market Hypothesis and National Stock Exchange.
Unique Identification Number - IJEDR1904086Page Number(s) - 480-483Pubished in - Volume 7 | Issue 4 | December 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Logeshwaran Udayakumar,  Karthikeyan S,   "Predictive Analysis On Dynamic Stock Market Using Machine Learning"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 4, pp.480-483, December 2019, Available at :http://www.ijedr.org/papers/IJEDR1904086.pdf