[HTML][HTML] Artificial intelligence techniques in financial trading: A systematic literature review

F Dakalbab, MA Talib, Q Nassir, T Ishak - Journal of King Saud University …, 2024 - Elsevier
Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …

A review of sentiment, semantic and event-extraction-based approaches in stock forecasting

WK Cheng, KT Bea, SMH Leow, JYL Chan, ZW Hong… - Mathematics, 2022 - mdpi.com
Stock forecasting is a significant and challenging task. The recent development of web
technologies has transformed the communication channel to allow the public to share …

Unveiling the influence of artificial intelligence and machine learning on financial markets: A comprehensive analysis of AI applications in trading, risk management …

M El Hajj, J Hammoud - Journal of Risk and Financial Management, 2023 - mdpi.com
This study explores the adoption and impact of artificial intelligence (AI) and machine
learning (ML) in financial markets, utilizing a mixed-methods approach that includes a …

Analysis of employees' competencies in the context of industry 4.0

B Kowal, D Włodarz, E Brzychczy, A Klepka - Energies, 2022 - mdpi.com
The implementation of Industry 4.0 technology and meeting the expectations of employers,
the labour market, and, in fact, sustainable development are new challenges for industry …

NFTs and cryptocurrencies—the metamorphosis of the economy under the sign of blockchain: A time series approach

SA Apostu, M Panait, L Vasa, C Mihaescu… - Mathematics, 2022 - mdpi.com
Although NFTs (non-fungible tokens) and cryptocurrencies are active on the same market,
their prices are not so closely related over time. The objective of this paper is to identify the …

A hybrid data analytics framework with sentiment convergence and multi-feature fusion for stock trend prediction

MK Daradkeh - Electronics, 2022 - mdpi.com
Stock market analysis plays an indispensable role in gaining knowledge about the stock
market, developing trading strategies, and determining the intrinsic value of stocks …

Artificial intelligence and stock trading decisions

M Alnemer, A Al-Sartawi - Artificial Intelligence, Internet of Things, and …, 2023 - Springer
This study gave a small exposure on the importance of AI in stock market prediction process.
It summarizes some of famous and tested algorithms that are used for serving this purpose …

An intelligent homomorphic blockchain approach for securing stock market data

K Swanthana, SS Aravinth - Soft Computing, 2024 - Springer
Blockchain technology has been widely used in different sectors to secure data from
malicious events. However, the traditional blockchain approach faces time consumption …

ResNLS: An improved model for stock price forecasting

Y Jia, A Anaissi, B Suleiman - Computational Intelligence, 2024 - Wiley Online Library
Stock prices forecasting has always been a challenging task. Although many research
projects adopt machine learning and deep learning algorithms to address the problem, few …

The prediction of enterprise stock change trend by deep neural network model

G Ma, P Chen, Z Liu, J Liu - Computational Intelligence and …, 2022 - Wiley Online Library
This study aims to accurately predict the changing trend of stocks in stock trading so that
company investors can obtain higher returns. In building a financial forecasting model …