ABSTRACT Over-the-counter (OTC) stocks are securities that are traded outside of
traditional exchanges and are usually issued by smaller companies. These stocks can be …

Stock market investments have been primarily aimed at gaining higher profits from the
investment; a large number of companies get listed on various stock exchanges to initiate …

Deep machine learning algorithms play an important role in facilitating the development of
predictive models for the stock market. However, most studies focus on predicting next-day …

A stock forecasting and trading system is a complex information system because a stock
trading system needs to be analyzed and modeled using data science, machine learning …

In this paper, we investigate analysis and prediction of the time-dependent data. We focus
our attention on four different stocks are selected from Yahoo Finance historical database …

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 …

Time series analysis has significance in financial analytics and market forecasting and it can
be utilized in any field. For stockbrokers, understanding trends and forecasting supported by …

Stock market is a well-known option for investments and has impact in today's economy.
Due to high returns and losses, it will be an investor's dream to predict the rise and fall …

Stock market is considered too uncertain to be predictable. Many individuals have
developed methodologies or models to increase the probability of making a profit in their …

This paper explores using a deep learning Long Short-Term Memory (LSTM) model for
accurate stock price prediction and its implications for portfolio design. Despite the efficient …