The quality of the interpretation of the sentiment in the online buzz in the social media and
the online news can determine the predictability of financial markets and cause huge gains …

Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …

With the ubiquity of the Internet, platforms such as: Google, Wikipedia and the like can
provide insights pertaining to firms' financial performance as well as capture the collective …

This work uses deep learning methods for intraday directional movements prediction of
Standard & Poor's 500 index using financial news titles and a set of technical indicators as …

Natural language processing (NLP) is a part of the artificial intelligence domain focused on
communication between humans and computers. NLP attempts to address the inherent …

In this paper a novel approach is proposed to predict intraday directional-movements of a
currency-pair in the foreign exchange market based on the text of breaking financial news …

Stock prediction is a very hot topic in our life. However, in the early time, because of some
reasons and the limitation of the device, only a few people had the access to the study …

This work uses deep learning models for daily directional movements prediction of a stock
price using financial news titles and technical indicators as input. A comparison is made …

The stock market is highly volatile and complex in nature. Technical analysts often apply
Technical Analysis (TA) on historical price data, which is an exhaustive task and might …

A significant correlation between financial news with stock market trends has been explored
extensively. However, very little research has been conducted for stock prediction models …