This systematic literature review analyses the recent advances of machine learning and
deep learning in finance. The study considers six financial domains: stock markets, portfolio …

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 …

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

Artificial Intelligence (AI) has been recently recognized as an essential aid for human
traders. The advantages of the AI systems over human traders are that they can analyze an …

Time series forecasting models are gaining traction in many real-world domains as valuable
decision support tools. Stock market analysis is a challenging domain, characterized by a …

In the present work, the volatility of the leading cryptocurrencies is predicted through
generalised autoregressive conditional heteroskedasticity (GARCH) models, multilayer …

Pairs trading is an investment strategy that exploits the short-term price difference (spread)
between two co-moving stocks. Recently, pairs trading methods based on deep …

A cloud data center provides various facilities such as storage, data accessibility, and
running many specific applications on cloud resources. The unpredictable demand for …

A fuzzy inference system consists of a machine learning concept that combines accuracy
and interpretability. They are divided into two main groups: Mamdani and Takagi–Sugeno …

Perch is a relatively valuable aquatic product with high economic value. Dissolved oxygen
follows a complex, dynamic and non-linear system. To solve the problems of low prediction …