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 …
stockbrokers and investors expect reliable projections of future stock indices, it instead …
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
M Shahvaroughi Farahani, SH Razavi Hajiagha - Soft computing, 2021 - Springer
Today, stock market has important function and it can be a place as a measure of economic
position. People can earn a lot of money and return by investing their money in the stock …
position. People can earn a lot of money and return by investing their money in the stock …
[HTML][HTML] Integrating PCA with deep learning models for stock market Forecasting: An analysis of Turkish stocks markets
T Uçkan - Journal of King Saud University-Computer and …, 2024 - Elsevier
Financial data such as stock prices are rich time series data that contain valuable
information for investors and financial professionals. Analysis of such data is critical to …
information for investors and financial professionals. Analysis of such data is critical to …
Improved market prediction using meta-heuristic algorithms and time series model and testing market efficiency
M Shahvaroughi Farahani, H Farrokhi-Asl - Iran Journal of Computer …, 2023 - Springer
This study aims to evaluate the efficiency of using technical indicators such as closing price,
lowest price, highest price, and exponential moving average in the prediction of stock prices …
lowest price, highest price, and exponential moving average in the prediction of stock prices …
Enhanced stock market forecasting using dandelion optimization-driven 3D-CNN-GRU classification
The global interest in market prediction has driven the adoption of advanced technologies
beyond traditional statistical models. This paper explores the use of machine learning and …
beyond traditional statistical models. This paper explores the use of machine learning and …
[PDF][PDF] Prediction of Iraqi Stock Exchange using Optimized Based-Neural Network
AAH Al-Shamery, P Al-Shamery, E Salih - Karbala International Journal of …, 2021 - iasj.net
Stock market prediction is an interesting financial topic that has attracted the attention of
researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock …
researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock …
Stacked Gated Recurrent Units and Indonesian Stock Predictions: A New Approach to Financial Forecasting
This research paper introduces a novel approach to predicting stock prices using a Stacked
Gated Recurrent Unit (GRU) model. The model was trained on historical data from the top 10 …
Gated Recurrent Unit (GRU) model. The model was trained on historical data from the top 10 …
Optimization of Virtual Network Mapping Based on Improved Ant Colony Algorithm in Complex Network Environments
R Zhang, J Sheng - Scientific Programming, 2022 - Wiley Online Library
Financial marketing is a method of risky investment, but in a shorter duration, the individual
can expect a profit or loss, depending on the current market rate for the organization …
can expect a profit or loss, depending on the current market rate for the organization …
Neural fuzzy inference hybrid system with support vector machine for identification of false singling in stock market prediction for profit estimation
The Stock market prediction is one of the biggest challenges in the global market. The
volatility in the movement of stock prices deteriorates the interest of the investor and trader …
volatility in the movement of stock prices deteriorates the interest of the investor and trader …
Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis
M Shahvaroughi Farahani, H Farrokhi-Asl… - International journal of …, 2023 - riejournal.com
Investigating stock price trends and determining future stock prices have become focal
points for researchers within the finance sector. However, predicting stock price trends is a …
points for researchers within the finance sector. However, predicting stock price trends is a …