movement prediction Latest Research Papers

Selective transfer learning with adversarial training for stock movement prediction

Connection Science ◽

10.1080/09540091.2021.2021143 ◽

2022 ◽

pp. 1-19

Author(s):

Yang Li ◽

Hong-Ning Dai ◽

Zibin Zheng

Keyword(s):

Transfer Learning ◽

Selective Transfer ◽

Movement Prediction ◽

Adversarial Training

Stock Index Movement Prediction: A Crow Search-ELM Approach

Lecture Notes in Electrical Engineering - Innovation in Electrical Power Engineering, Communication, and Computing Technology ◽

10.1007/978-981-16-7076-3_30 ◽

2021 ◽

pp. 349-356

Author(s):

Sidharth Samal ◽

Rajashree Dash

Keyword(s):

Stock Index ◽

Movement Prediction

Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction

Multimedia Tools and Applications ◽

10.1007/s11042-021-11670-w ◽

2021 ◽

Author(s):

Ashish Kumar ◽

Abeer Alsadoon ◽

P. W. C. Prasad ◽

Salma Abdullah ◽

Tarik A. Rashid ◽

...

Keyword(s):

Deep Learning ◽

Root Mean Square Error ◽

Mean Square Error ◽

Root Mean Square ◽

Stock Price ◽

Mean Square ◽

Generative Adversarial Network ◽

Price Movement ◽

Adversarial Network ◽

Movement Prediction

Stock movement prediction

10.1201/9781003196013-12 ◽

2021 ◽

pp. 48-51

Author(s):

V.A.W. Hapsari ◽

R. Rokhim

Keyword(s):

Movement Prediction

Stock movement prediction using hybrid normalization technique and artificial neural network

International Journal of Advanced Technology and Engineering Exploration ◽

10.19101/ijatee.2021.874387 ◽

2021 ◽

Vol 8 (83) ◽

Author(s):

Binita Kumari ◽

Tripti Swarnkar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Movement Prediction ◽

Artificial Neural

A Hybrid Fruit Fly ELM Framework for Stock Index Price Movement Prediction

10.1109/apsit52773.2021.9641098 ◽

2021 ◽

Author(s):

Sidharth Samal ◽

Rajashree Dash

Keyword(s):

Fruit Fly ◽

Stock Index ◽

Price Movement ◽

Movement Prediction

Stock Movement Prediction via Gated Recurrent Unit Network based on Reinforcement Learning with Incorporated Attention Mechanisms

Neurocomputing ◽

10.1016/j.neucom.2021.09.072 ◽

2021 ◽

Author(s):

Hongfeng Xu ◽

Lei Chai ◽

Zhiming Luo ◽

Shaozi Li

Keyword(s):

Reinforcement Learning ◽

Movement Prediction ◽

Gated Recurrent Unit ◽

Unit Network

A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data

10.1109/seeda-cecnsm53056.2021.9566242 ◽

2021 ◽

Author(s):

Christina Nousi ◽

Christos Tjortjis

Keyword(s):

Sentiment Analysis ◽

Movement Prediction

Temporal Movement Prediction Based on Tweet Texts and Historical Price via Adversarial Training

10.1109/cei52496.2021.9574582 ◽

2021 ◽

Author(s):

Xingqi Dai ◽

Yijun Zhao

Keyword(s):

Movement Prediction ◽

Adversarial Training

COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115879 ◽

2021 ◽

pp. 115879

Author(s):

Farnoush Ronaghi ◽

Mohammad Salimibeni ◽

Farnoosh Naderkhani ◽

Arash Mohammadi

Keyword(s):

Information Fusion ◽

Stock Price ◽

Price Movement ◽

Movement Prediction ◽

Fusion Framework

movement prediction
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Selective transfer learning with adversarial training for stock movement prediction

Stock Index Movement Prediction: A Crow Search-ELM Approach

Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction

Stock movement prediction

Stock movement prediction using hybrid normalization technique and artificial neural network

A Hybrid Fruit Fly ELM Framework for Stock Index Price Movement Prediction

Stock Movement Prediction via Gated Recurrent Unit Network based on Reinforcement Learning with Incorporated Attention Mechanisms

A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data

Temporal Movement Prediction Based on Tweet Texts and Historical Price via Adversarial Training

COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction

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movement predictionRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Selective transfer learning with adversarial training for stock movement prediction

Stock Index Movement Prediction: A Crow Search-ELM Approach

Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction

Stock movement prediction

Stock movement prediction using hybrid normalization technique and artificial neural network

A Hybrid Fruit Fly ELM Framework for Stock Index Price Movement Prediction

Stock Movement Prediction via Gated Recurrent Unit Network based on Reinforcement Learning with Incorporated Attention Mechanisms

A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data

Temporal Movement Prediction Based on Tweet Texts and Historical Price via Adversarial Training

COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction

movement prediction
Recently Published Documents