NIFTY-50 STOCK PREDICTION MASTER
Dr. HARISH B G
, Mr. CHETAN KUMAR G S , RAGHAVENDRAREDDY RADDER , MANOJ K
Nifty 50, Nifty Financial Sector Indices, Granger Causality, Impulse Response Function.
For a very long time, there has been constant study in the stock market on designing and building a model for prediction with a reliable stock price prediction. The most important part of the overall forecasting process, however, is forecasting changes in stock prices. Research demonstrates that movements in stock prices can be somewhat predicted, despite certain market hypotheses contending that it is difficult to anticipate stock price movement correctly. When prediction models are properly created, developed, and improved, stock price movement may be precisely measured. In this paper, the LSTM (Long Short-Term Memory) Algorithm based on Deep Learning (DL) is proposed. We received historical stock price information for the NIFTY 50 index for the previous 10 years from India's stock exchange (NSE). The period chosen for the historical database was 10 December 2011 through 10 December 2021. After being normalized, this dataset is utilized for model testing and training. The accuracy of the proposed model's predictions is 83.88 percent, which is rather encouraging.
"NIFTY-50 STOCK PREDICTION MASTER", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.319 - 323, September-2023, Available :https://ijsdr.org/papers/IJSDR2309053.pdf
Volume 8
Issue 9,
September-2023
Pages : 319 - 323
Paper Reg. ID: IJSDR_208520
Published Paper Id: IJSDR2309053
Downloads: 000347291
Research Area: Master of Computer Application
Country: DAVANGERE, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
