Forecasting Time series Market Data Using Machine Learning: A Literature review
نویسندگان
چکیده
In this paper, previous studies featuring, Machine learning based stock market analysis and predictions have been reviewed. This study is done to examine the various methodologies used in analyzing stock market data, and methods used prediction and forecasting the market. We propose a methodology that can be used in forecasting time series market data. Also we study the data sources. We have examined several publications and many theses in this area. Selected main features which are applicable for further studies are mentioned. Presently, Social media including Twitter, Facebook, Web contents, has provided enormous unstructured opinion contents for various decision making process. Sentimental analysis is also necessary for market predictions. Efforts are put to study the latest methods used in sentimental analysis of web contents and social media.
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