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 …

Blockchain technology is becoming increasingly popular because of its applications in
various fields. It gives an edge over the traditional centralized methods as it provides …

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

Predicting price trends of cryptocurrencies is a challenging task due to the highly speculative
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …

Digital financial assets such as cryptocurrency are playing an increasingly crucial role in the
digital economy era. Cryptocurrency is characterized by significant volatility and asset price …

This study proposes a novel approach for modeling financial time series, concentrating on
data pre-processing and selecting effective features in conventional and proposed modeling …

Cryptocurrencies have experienced rapid growth and gained popularity worldwide. As a
result, social media platforms have become an important source of information for investors …

Carbon trading prices are considered important reference indicators for policy formulation
and enterprise decision-making, and play an important role in low-carbon development …

Bitcoin, with its ever-growing popularity, has demonstrated extreme price volatility since its
origin. Extreme price fluctuations have been known to occur due to tweets from Elon Musk …

Abstract Deep Reinforcement Learning (DRL) has several successful applications in various
fields. One of these fields is financial trading, in which an agent interacts with its environment …