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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM22934
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The majority of people turn to the performance of a country’s stock market as thebest indicator of how well that economy is doing. Stock markets cover all industries across all sectors of the economy. This means they serve as a barometerof what cycle the economy is in and the hopes and fears of the population who generate growth and wealth. In this project, the stock market predictions are doneby using an ANN-DT method. By using ANN-DT we predict the closing price ofa stock at the end of the day. If the closing price is predicted the stock buyers canable to buy a stock based on the predicted price. ANN-DT is a hybrid machine learning technique so that the machine can learn details by utilising both the Artificial Neural Network and decision tree algorithm.
KEYWORDS
Publication Date
4/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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