Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …

Featured Application The described approaches can be used in various applications in the
field of quantitative finance from HFT trading systems to financial portfolio allocation and …

Many researchers attempt to accurately predict stock price trends using technologies such
as machine learning and deep learning to achieve high returns in the stock market …

Price prediction of financial assets has been a key interest for researchers over the decades.
Numerous techniques to predict the price movements have been developed by the …

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 …

In recent times, football (soccer) has aroused an increasing amount of attention across
continents and entered unexpected dimensions. In this course, the number of bookmakers …

Grid algorithmic trading has become quite popular among traders because it shows several
advantages with respect to similar approaches. Basically, a grid trading strategy is a method …

A key objective of modern medicine is precision medicine, whose purpose is to personalize
the treatment based on the specific characteristics of the patients and their illness. To guide …

This study investigates the effectiveness of six of the key international indices in estimating
Saudi financial market (TADAWUL) index (TASI) movement. To investigate the relationship …

Immunotherapy is regarded as one of the most significant breakthroughs in cancer
treatment. Unfortunately, only a small percentage of patients respond properly to the …