Machine Learning Approaches in Stock Price Prediction: A Systematic Review

March 12, 2022

Prediction of stock prices is one of the most researched topics and gathers interest
from academia and the industry alike. With the emergence of Artificial Intelligence, various
algorithms have been employed in order to predict the equity market movement. The combined
application of statistics and machine learning algorithms have been designed either for predicting
the opening price of the stock the very next day or understanding the long term market in the
future. This paper explores the different techniques that are used in the prediction of share prices
from traditional machine learning and deep learning methods to neural networks and graph-based
approaches. It draws a detailed analysis of the techniques employed in predicting the stock prices
as well as explores the challenges entailed along with the future scope of work in the domain.

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