Breakout Stocks Identification using Machine Learning Approaches

Authors

  • Md. Siam Ansary Ahsanullah University of Science and Technology, BANGLADESH

DOI:

https://doi.org/10.53907/enpesj.v2i2.173

Keywords:

machine learning, breakout stock, stock market, stock

Abstract

Stock market offers a platform for people to engage in trading. It contributes to the growth of nation. Decision making regarding investments needs to be done very carefully so that an investor does not suffer massive loss. Since the share market is susceptible to experience huge change at any given moment, with the probability of profit comes huge risks of losing a fortune. In our research, we have worked on prediction of breakout stocks. If identified properly, it can help one to invest efficiently. We have used multiple machine learning approaches as ML models can offer more effective predictions compared to other methods due to the ability to learn and adapt from dataset information. In our experiment, the models have yielded very good results.

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Published

2022-12-28

Issue

Vol. 2 No. 2 (2022): ENP Engineering Science Journal

Section

Article

License

Copyright (c) 2022 ENP Engineering Science Journal

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