Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …

Predictions of stock and foreign exchange (Forex) have always been a hot and profitable
area of study. Deep learning applications have been proven to yield better accuracy and …

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

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 Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

Modeling financial time series by stochastic processes is a challenging task and a central
area of research in financial mathematics. As an alternative, we introduce Quant GANs, a …

Stocks price prediction is a current hot spot with great promise and challenges. Recently,
there have been many stock price prediction methods. However, the prediction accuracy of …

The stock market prediction patterns are seen as an important activity and it is more
effective. Hence, stock prices will lead to lucrative profits from sound taking decisions …

Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

The creation of trustworthy models of the equities market enables investors to make better-
informed choices. A trading model may lessen the risks that are connected with investing …