The prediction of stock groups values has always been attractive and challenging for
shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper …

Stock market prediction has been a classical yet challenging problem, with the attention from
both economists and computer scientists. With the purpose of building an effective prediction …

Building predictive models for robust and accurate prediction of stock prices and stock price
movement is a challenging research problem to solve. The well-known efficient market …

For several years the modeling as well as forecasting of the prices of stocks have been
extremely challenging for the business community and researchers as a result of the …

Prediction of stock prices has been an important area of research for a long time. While
supporters of the efficient market hypothesis believe that it is impossible to predict stock …

Applications of deep learning in financial market prediction have attracted widespread
attention from investors and scholars. From convolutional neural networks to recurrent …

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 …

Abstract The Stock Market is one of the most active research areas, and predicting its nature
is an epic necessity nowadays. Predicting the Stock Market is quite challenging, and it …

The stock market is a financial market where shares of publicly listed corporations are
purchased and sold. It is an indicator of a country's economic health, reflecting the …

The nature of stock market movement has always been ambiguous for investors because of
various influential factors. This study aims to significantly reduce the risk of trend prediction …