Systematic analysis and review of stock market prediction techniques
DP Gandhmal, K Kumar - Computer Science Review, 2019 - Elsevier
Prediction of stock market trends is considered as an important task and is of great attention
as predicting stock prices successfully may lead to attractive profits by making proper …
as predicting stock prices successfully may lead to attractive profits by making proper …
A systematic review of stock market prediction using machine learning and statistical techniques
The stock market prediction patterns are seen as an important activity and it is more
effective. Hence, stock prices will lead to lucrative profits from sound taking decisions …
effective. Hence, stock prices will lead to lucrative profits from sound taking decisions …
Framework for predicting and modeling stock market prices based on deep learning algorithms
THH Aldhyani, A Alzahrani - Electronics, 2022 - mdpi.com
The creation of trustworthy models of the equities market enables investors to make better-
informed choices. A trading model may lessen the risks that are connected with investing …
informed choices. A trading model may lessen the risks that are connected with investing …
Machine learning approaches in stock market prediction: A systematic literature review
LN Mintarya, JNM Halim, C Angie, S Achmad… - Procedia Computer …, 2023 - Elsevier
Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …
analyzing fundamental and technical aspects. With machine learning, stock market …
Stock market prediction using deep learning algorithms
Abstract The Stock Market is one of the most active research areas, and predicting its nature
is an epic necessity nowadays. Predicting the Stock Market is quite challenging, and it …
is an epic necessity nowadays. Predicting the Stock Market is quite challenging, and it …
[HTML][HTML] Stock market prediction based on statistical data using machine learning algorithms
The main perfect of this composition is to discover the stylish version to prognosticate the
cost of the inventory request. During the procedure of analyzing the colorful ways and …
cost of the inventory request. During the procedure of analyzing the colorful ways and …
A survey on machine learning for stock price prediction: Algorithms and techniques
M Obthong, N Tantisantiwong, W Jeamwatthanachai… - 2020 - eprints.soton.ac.uk
Stock market trading is an activity in which investors need fast and accurate information to
make effective decisions. Since many stocks are traded on a stock exchange, numerous …
make effective decisions. Since many stocks are traded on a stock exchange, numerous …
An efficient equilibrium optimizer with support vector regression for stock market prediction
A hybridized method that relies on using the support vector regression (SVR) method with
equilibrium optimizer (EO) is proposed to foresee the closing prices of Egyptian Exchange …
equilibrium optimizer (EO) is proposed to foresee the closing prices of Egyptian Exchange …
A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization
A Thakkar, K Chaudhari - Archives of Computational Methods in …, 2021 - Springer
Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …
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 …
for individuals, corporations, and governments. This research explores the application of the …