FDCN-ML: Forecasting Directional Changes in the NASDAQ Market using Machine Learning-Reference-Cited by-同舟云学术

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FDCN-ML: Forecasting Directional Changes in the NASDAQ Market using Machine Learning

Published:2023-02-20 Issue: Volume:25 Page:456-461
ISSN:
Container-title:2023 20th International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

Khedr Ahmed M¹,P V Pravija Raj¹,El Bannany Magdi²,Mansour Youssef¹,Bakhach Amer³,El Rifai Hozayfa¹

Affiliation:

1. University of Sharjah,Computer Science Department,Sharjah,UAE,27272

2. Umm Al Quwain University,College of Business Administration,Umm Al Quwain,UAE,356

3. University of Essex,Centre for Computational Finance and Economic Agents,Colchester,UK,CO4 3SQ

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411147/10411148/10411160.pdf?arnumber=10411160

Reference45 articles.

1. What Is the Stock Market and How Does It Work?;O’Shea,2021

2. A Breakdown on How the Stock Market Works;Hayes,2021

3. Stock market movement forecast: A Systematic review

4. A Directional Change Based Trading Strategy with Dynamic Thresholds

5. A Robust Deep Learning Model for Financial Distress Prediction

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