The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …

Achieving accurate stock market models can provide investors with tools for making better
data-based decisions. These models can help traders to reduce investment risk and select …

In order to move beyond mean-based connectedness measures in the cryptocurrency
market and capture connectedness under extreme events, this paper applies quantile-based …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

The financial sector has greatly impacted the monetary well-being of consumers, traders,
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …

China's commercial Bank shares have become the backbone of the capital market. The
prediction of a bank's stock price has been a hot topic in the investment field. However, the …

The application of Artificial Intelligence (AI) to financial investment is a research area that
has attracted extensive research attention since the 1990s, when there was an accelerated …

Stock market prediction is a very important problem in the economics field. With the
development of machine learning, more and more algorithms are applied in the stock market …

Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …

The stock market is very unstable and volatile due to several factors such as public
sentiments, economic factors and more. Several Petabytes volumes of data are generated …