The research purpose of this paper is to obtain an algorithm model with high prediction
accuracy for the price of Bitcoin on the next day through random forest regression and …

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

Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets,
capable of reducing investment risks and aiding in selecting highly profitable stocks by …

Cryptocurrency markets experienced a significant increase in the popularity, which
motivated many financial traders to seek high profits in cryptocurrency trading. The …

Cryptocurrency has become a popular trading asset due to its security, anonymity, and
decentralization. However, predicting the direction of the financial market can be …

Reinforcement learning (RL) has emerged as a promising approach for develo**
intelligent trading systems in the stock market. The intention of this survey article is to …

The frequent and sharp fluctuations in garlic prices seriously affect the sustainable
development of the garlic industry. Accurate prediction of garlic prices can facilitate correct …

Optimal portfolio selection—composing a set of stocks/assets that provide high yields/returns
with a reasonable risk—has attracted investors and researchers for a long time. As a …

Our research involves analyzing the latest models used for electricity price forecasting,
which include both traditional inferential statistical methods and newer deep learning …

In light of recent cryptocurrency value fluctuations, Bitcoin is gradually gaining recognition as
an investment vehicle. Given the market's inherent volatility, accurate forecasting becomes …