A new auditory algorithm in stock market prediction on oil and gas sector in Nigerian stock exchange-Reference-Cited by-同舟云学术

A new auditory algorithm in stock market prediction on oil and gas sector in Nigerian stock exchange

Published:2021-12 Issue: Volume:3 Page:100013
ISSN:2666-2221
Container-title:Soft Computing Letters
language:en
Short-container-title:Soft Computing Letters

Author:

Oyewola David O.,Ibrahim Asabe,Kwanamu Joshua.A.,Dada Emmanuel Gbenga

Publisher

Elsevier BV

Reference37 articles.

1. A Bayesian regularized artificial neural network for stockmarket forecasting;Ticknor;Expert Syst. Appl.,2013

2. The comparison of methods artificial neural network with linear regression using specific variables for prediction stock price in tehran stock exchange;Ahangar;Int. J. Comput. Sci. Inf. Sec.,2010

3. High-frequency Trading Strategy Based on Deep Neural Networks.Ininternational Conference on Intelligent Computing;Arévalo,2016

4. Systematic analysis and review of stock market prediction techniques;Gandhmal;Comput. Sci. Rev.,2019

5. A multiple-kernel support vector regression approach for stock market price forecasting;Yeh;Expert Syst. Appl.,2011

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new approach to forecasting Islamic and conventional oil and gas stock prices;International Review of Economics & Finance;2024-11

2. A systematic literature survey on recent trends in stock market prediction;PeerJ Computer Science;2024-01-31

3. Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction;Knowledge-Based Systems;2024-01

4. A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting;IEEE Access;2024

5. Comparison of Support Vector Machine (SVM) and Linear Regression (LR) for Stock Price Prediction;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08