Artificial intelligence applied to stock market trading: a review

FGDC Ferreira, AH Gandomi, RTN Cardoso - IEEE Access, 2021 - ieeexplore.ieee.org
The application of Artificial Intelligence (AI) to financial investment is a research area that
has attracted extensive research attention since the 1990s, when there was an accelerated …

Application of artificial intelligence in stock market forecasting: a critique, review, and research agenda

R Chopra, GD Sharma - Journal of risk and financial management, 2021 - mdpi.com
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal
and external environmental variables. Artificial intelligence (AI) techniques can detect such …

Graph neural networks for anomaly detection in industrial Internet of Things

Y Wu, HN Dai, H Tang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …

A graph-based CNN-LSTM stock price prediction algorithm with leading indicators

JMT Wu, Z Li, N Herencsar, B Vo, JCW Lin - Multimedia Systems, 2023 - Springer
In today's society, investment wealth management has become a mainstream of the
contemporary era. Investment wealth management refers to the use of funds by investors to …

China's commercial bank stock price prediction using a novel K-means-LSTM hybrid approach

Y Chen, J Wu, Z Wu - Expert Systems with Applications, 2022 - Elsevier
China's commercial Bank shares have become the backbone of the capital market. The
prediction of a bank's stock price has been a hot topic in the investment field. However, the …

A new stock price forecasting method using active deep learning approach

K Alkhatib, H Khazaleh, HA Alkhazaleh… - Journal of Open …, 2022 - mdpi.com
Stock price prediction is a significant research field due to its importance in terms of benefits
for individuals, corporations, and governments. This research explores the application of the …

Dynamic optimization of wastewater treatment process based on novel multi-objective ant lion optimization and deep learning algorithm

G Niu, X Li, X Wan, X He, Y Zhao, X Yi, C Chen… - Journal of Cleaner …, 2022 - Elsevier
In this paper, a novel dynamic optimization control based on multi-objective ant lion
optimization (DMOALO) and deep learning algorithm is proposed, which could optimize …

Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition

J Bai, J Guo, B Sun, Y Guo, Q Bao, X Xiao - Engineering Applications of …, 2023 - Elsevier
Intelligent forecasting model of stock price is an effective way to obtain ideal investment
returns. Due to the impact of quantitative transactions, traditional forecasting methods face …

SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting

WM Shaban, E Ashraf, AE Slama - Neural Computing and Applications, 2024 - Springer
As the economy has grown rapidly in recent years, more and more people have begun
putting their money into the stock market. Thus, predicting trends in the stock market is …

Ensemble of supervised and unsupervised deep neural networks for stock price manipulation detection

P Chullamonthon, P Tangamchit - Expert Systems with Applications, 2023 - Elsevier
Illegal practices that cause stock prices to vary from their fair values are known as stock price
manipulations. Our prior study used unsupervised deep learning to detect these unlawful …