Deep Learning for Forex and Stock Price Forecasting: Uncovering Market Secrets-Reference-Cited by-同舟云学术

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Deep Learning for Forex and Stock Price Forecasting: Uncovering Market Secrets

Published:2023-11-23 Issue: Volume:27 Page:1397-1402
ISSN:
Container-title:2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
language:
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Author:

Singh Akhilendra Pratap¹,Nair Amrutha V²,S Varalakshmi³

Affiliation:

1. Maharishi University of Information Technology,Maharishi School of Engineering & Technology,Uttar Pradesh,India

2. Presidency University,Department of Electronics and Communication Engineering,Bangalore,Karnataka,India

3. JAIN (Deemed-to-be University),Centre for Management Studies,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465674/10465681/10465782.pdf?arnumber=10465782

Reference19 articles.

1. Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches

2. Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment

3. Stock Prediction Using Convolutional Neural Network

4. Deep learning for stock prediction using numerical and textual information

5. Universal features of price formation in financial markets: perspectives from deep learning

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