A Revised Theory of Stock Price Prediction

Author(s)	Pran Krishna Sarkar
Country	India
Abstract	Today, technology is very advanced and the application of artificial intelligence (AI) techniques for NIFTY_50 index stock price prediction leads to the voluminous growth of the wealth of the investors. The several predictions as well as the estimations are coming up for the all sectors of the NIFTY_50 stocks and the stock price prediction is not possible without excessive data manipulating that is done by effective data mining. The systematic statistical manipulation of data is effective when the suitable business intelligence (BI) and the artificial intelligence (AI) techniques are applied. The reality is that the Indian stock market is running throw the most complex scenario and always needs excessive data mining. The several works regarding NIFTY_50 stock price prediction is done by the advent of data mining techniques. In this paper, I introduce a model for all the fifty stocks (NIFTY_50) price prediction using the data mining techniques and the time series prediction in view of Fuzzy logic.
Keywords	NIFTY _50, BI, AI, Fuzzy logic
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-07-19
Cite This	A Revised Theory of Stock Price Prediction - Pran Krishna Sarkar - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.4431
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.4431
Short DOI	https://doi.org/gshm84

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