A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting-Reference-Cited by-同舟云学术

A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting

Published:2024 Issue: Volume:12 Page:103810-103829
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jeribi Fathe¹^ORCID,Martin R. John¹^ORCID,Mittal Ruchi²^ORCID,Jari Hassan¹^ORCID,Alhazmi Abdulrahman Hassan¹^ORCID,Malik Varun²^ORCID,Swapna S. L.³^ORCID,Goyal S. B.⁴,Kumar Manoj⁵,Singh Shubhranshu Vikram⁶^ORCID

Affiliation:

1. College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia

2. Chitkara Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

3. Applexus Technologies, TechnoPark, Thiruvananthapuram, India

4. Faculty of Information Technology, City University Malaysia, Petaling Jaya, Malaysia

5. School of Computer Science, FEIS, University of Wollongong in Dubai, Dubai, United Arab Emirates

6. Amity University, Noida, Uttar Pradesh, India

Funder

Deanship of Graduate Studies and Scientific Research, Jazan University, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10613392.pdf?arnumber=10613392

Reference43 articles.

1. A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting

2. Evolving Least Squares Support Vector Machines for Stock Market Trend Mining

3. Prediction Market Performance and Market Liquidity: A Comparison of Automated Market Makers

4. An Intelligent Decision Support System to Investment in the Stock Market

5. Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships