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)
This research paper investigates the effectiveness of various machine learning algorithms in the task of stock market price prediction. Historical stock market data, encompassing price and volume information, is utilized to train and evaluate the models. Different algorithms, including regression, time series analysis, and deep learning techniques, are employed and compared in terms of their predictive accuracy. The findings of this study contribute to the existing body of knowledge in the field of financial forecasting and provide valuable insights for investors and financial professionals seeking to make informed decisions in the stock market.
Keywords:
Stock Market, LSTM, RNN, ML, DL, stock prediction
Cite Article:
"Stock Price Prediction Using LSTM on Indian Share Market", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h495-h499, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305767.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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