Stock Market Trend Prediction Model for the Egyptian Stock Market Using Neural Networks and Fuzzy Logic-Reference-Cited by-同舟云学术

Stock Market Trend Prediction Model for the Egyptian Stock Market Using Neural Networks and Fuzzy Logic

Published:2012 Issue: Volume: Page:85-90
ISSN:0302-9743
Container-title:Bio-Inspired Computing and Applications
language:
Short-container-title:

Author:

ElAal Maha Mahmoud Abd,Selim Gamal,Fakhr Waleed

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-24553-4_13

Reference12 articles.

1. Coupelon, O.: Neural Network Modeling for Stock Movement Prediction - A State of the Art (2007)

2. Choudhry, R., Garg, K.: A Hybrid Machine Learning System for Stock Market Forecasting. World Academy of Science, Engineering and Technology 29, 29–59 (2008)

3. Tilakaratne, C.D., Morris, S.A., Mammadov, M.A., Hurst, C.P.: Predicting Stock Market Index Trading Signals Using Neural Networks. In: Proceedings of the 14th Annual Global Finance Conference (GFC 2007), Melbourne, Australia, pp. 171–179 (September 2007)

4. Holter, J.T.: The Markets’ Hidden Order. Futures 25(13), 66–71 (1997)

5. Fernández-Blanco, P., Bodas-Sagi, D., Soltero1, F., Hidalgo, J.I.: Technical Market Indicators Optimization using Evolutionary Algorithms. In: GECCO 2008, pp. 1851–1857 (2008)

Cited by 4 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. The Forecasting About Bitcoin and Other Digital Currency Markets: The Effects of Data Mining and Other Emerging Technologies;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12

2. An LSTM-GRU based hybrid framework for secured stock price prediction;Journal of Statistics and Management Systems;2022-08-18

3. Data Analysis on the Computer Intelligent Stock Prediction Model Based on LSTM RNN and Algorithm Optimization;2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2022-02-25

4. Deep Learning Vs. Machine Learning in Predicting the Future Trend of Stock Market Prices;2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2021-10-17