Open AccessStock Market Prediction using Machine Learning: A Systematic Literature Review
Author(s) -
Siddhartha Vadlamudi
Publication year - 2017
Publication title -
american journal of trade and policy
Language(s) - English
Resource type - Journals
eISSN - 2313-4755
pISSN - 2313-4747
DOI - 10.18034/ajtp.v4i3.521
Subject(s) - stock market , computer science , stock market prediction , stock (firearms) , machine learning , artificial intelligence , engineering , mechanical engineering , paleontology , horse , biology
Different machine learning algorithms are discussed in this literature review. These algorithms can be used for predicting the stock market. The prediction of the stock market is one of the challenging tasks that must have to be handled. In this paper, it is discussed how the machine learning algorithms can be used for predicting the stock value. Different attributes are identified that can be used for training the algorithm for this purpose. Some of the other factors are also discussed that can have an effect on the stock value.