Financial time series forecasting is undoubtedly the top choice of computational intelligence
for finance researchers in both academia and the finance industry due to its broad …

Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …

Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …

There is a wide range of interdisciplinary intersections between cyber security and artificial
intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced …

The foreign exchange (FOREX) market is one of the biggest financial markets in the world.
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …

An accurate exchange rate forecasting and its decision-making to buy or sell are critical
issues in the Forex market. Short-term currency rate forecasting is a challenging task due to …

High-frequency trading is a method of intervention on the financial markets that uses
sophisticated software tools, and sometimes also hardware, with which to implement high …

Develo** a generative model of realistic order flow in financial markets is a challenging
open problem, with numerous applications for market participants. Addressing this, we …

The decision-making process of many state-of-the-art machine learning models is inherently
inscrutable to the extent that it is impossible for a human to interpret the model directly: they …

This study aims to comprehensively review a recently emerging multidisciplinary area
related to the application of deep learning methods in cryptocurrency research. We first …