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 …

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 …

Designing robust and accurate predictive models for stock price prediction has been an
active area of research over a long time. While on one side, the supporters of the efficient …

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 …

Many studies have been undertaken by using machine learning techniques, including
neural networks, to predict stock returns. Recently, a method known as deep learning, which …

Numerous studies have adopted deep learning (DL) in financial market forecasting models
owing to its superior performance. The DL models require as many relevant input variables …

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 …

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

In recent years, machine learning and deep learning have become popular methods for
financial data analysis, including financial textual data, numerical data, and graphical data …

Understanding the pattern of financial activities and predicting their development and
changes are research hotspots in academic and financial circles. Because financial data …