Breakout Stocks Identification using Machine Learning Approaches

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.

Keywords

Authors

1. 1Ahsanullah University of Science and Technology, BANGLADESH