[HTML][HTML] Machine learning techniques and data for stock market forecasting: A literature review

MM Kumbure, C Lohrmann, P Luukka… - Expert Systems with …, 2022 - Elsevier
In this literature review, we investigate machine learning techniques that are applied for
stock market prediction. A focus area in this literature review is the stock markets …

A comprehensive survey on higher order neural networks and evolutionary optimization learning algorithms in financial time series forecasting

S Behera, SC Nayak, AVSP Kumar - Archives of Computational Methods …, 2023 - Springer
The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …

Forward forecast of stock price using sliding-window metaheuristic-optimized machine-learning regression

JS Chou, TK Nguyen - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Time series forecasting has been widely used to determine the future prices of stock, and the
analysis and modeling of finance time series importantly guide investors' decisions and …

[PDF][PDF] Advanced Predictive Analytics For Comprehensive Risk Assessment In Financial Markets: Strategic Applications And Sector-Wide Implications

J Nahar, MS Hossain, MM Rahman… - … Mainstream Journal of …, 2024 - researchgate.net
In the intricate tapestry of financial markets, risk assessment emerges as a linchpin, pivotal
to the resilience and health of institutions and the broader system (Idrees et al., 2019; …

[HTML][HTML] Training multilayer perceptron with genetic algorithms and particle swarm optimization for modeling stock price index prediction

F Ecer, S Ardabili, SS Band, A Mosavi - Entropy, 2020 - mdpi.com
Predicting stock market (SM) trends is an issue of great interest among researchers,
investors and traders since the successful prediction of SMs' direction may promise various …

Stock price movements classification using machine and deep learning techniques-the case study of indian stock market

N Naik, BR Mohan - … conference on engineering applications of neural …, 2019 - Springer
Stock price movements forecasting is an important topic for traders and stock analyst. Timely
prediction in stock yields can get more profits and returns. The predicting stock price …

Intelligent candlestick forecast system for financial time-series analysis using metaheuristics-optimized multi-output machine learning

JS Chou, NM Nguyen, CP Chang - Applied Soft Computing, 2022 - Elsevier
The effective prediction of stock market prices and trends is a critical topic in financial
research for investors and stakeholders who wish to increase their return on investment …

Exploration of stock index change prediction model based on the combination of principal component analysis and artificial neural network

J Cao, J Wang - Soft Computing, 2020 - Springer
In order to establish an accurate effective stock forecasting model, the principal component
analysis (PCA) was first used to analyze the main financial index data of some listed …

[HTML][HTML] A time series model based on deep learning and integrated indicator selection method for forecasting stock prices and evaluating trading profits

CH Cheng, MC Tsai, C Chang - Systems, 2022 - mdpi.com
A stock forecasting and trading system is a complex information system because a stock
trading system needs to be analyzed and modeled using data science, machine learning …

Predicting stock returns of Tehran exchange using LSTM neural network and feature engineering technique

S Dami, M Esterabi - Multimedia Tools and Applications, 2021 - Springer
Prediction is defined as the expression of events that will occur in the future, before they
occur, based on scientific and logical principles and rules. Due to the importance of financial …