Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
This study surveyed and analyzed the prediction of stock price movement using different sentiment analysis techniques which is given as an input to different machine learning methods. Using predictive analysis and technical analysis various technical and economic indicators can be leveraged with the help of opinions extracted from the text in order to identify and optimize the stock price movement decisions to maximize trading profits.
How to cite this article:
Arti Buche and M.B. Chandak. Stock Market Forecasting Techniques: A Survey.
DOI: https://doi.org/10.36478/jeasci.2019.1649.1655
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.1649.1655