Stock Price Forecasting using the Machine Learning Based on the Historical Stock Prices

Authors

  • Vimalkumar B. Vaghela Assistant Professor, Department of Computer Engineering, L. D. College of Engineering, Ahmedabad, Gujarat, India
  • Tushar A. Champaneria Assistant Professor, Department of Computer Engineering, Government Engineering College, Modasa, Gujarat, India
  • Hitesh D. Rajput Assistant Professor, Department of Computer Engineering, L. D. College of Engineering, Ahmedabad, Gujarat, India

DOI:

https://doi.org/10.15379/ijmst.v10i1.3670

Keywords:

Machine Learning, Data Transformation, Data Classification, Decision Tree, Future stock return, data mining techniques, Bombay Stock Exchange

Abstract

Forecasting stock price is an imperative financial subject matter that has involved researchers’ attention for numerous years. The successful stock price forecasting helps to profit the company or individual otherwise it makes the problem of loss. Stock forecasting involves an assumption that basic information publicly accessible in the past has some predictive relationships to the future stock returns. This proposed research work tries to help the company and investors in the stock market to come to a decision for better timing for buying or selling stocks based on the information extracted from the historical prices of such stocks.

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Published

2023-06-16

How to Cite

[1]
V. B. . Vaghela, T. A. . Champaneria, and H. D. . Rajput, “Stock Price Forecasting using the Machine Learning Based on the Historical Stock Prices ”, ijmst, vol. 10, no. 1, pp. 1902-1910, Jun. 2023.

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