Share Price Trend Prediction Using Attention with LSTM Structure

被引：0

作者：

Jhang, Wun-Syun ^{[1
]}

Gao, Shao-En ^{[1
]}

Wang, Chuin-Mu ^{[1
]}

Hsieh, Ming-Chu ^{[1
]}

机构：

[1] Natl Chin Yi Univ Technol, Dept Comp Sci & Informat Engn, Taichung, Taiwan

来源：

2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) | 2019年

关键词：

stock prediction; deep learning; convolutional neural network; recurrent neural network;

D O I：

10.1109/snpd.2019.8935806

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Stock market has a considerable impact in the whole financial market. Among researches on prediction, stock price movements prediction is a quite hot topic. In this paper, stock price movements were predicted by utilizing various stock information by technical means of deep learning. The architecture based on LSTM using Attention proposed in this paper was proven through experiment to be able to effectively improve prediction accuracy.

引用

页码：208 / 211

页数：4

共 50 条

[31] Stock Price Prediction using Multi-Layered Sequential LSTM
Behura, Jyoti Prakash
Pande, Sagar Dhanraj
Ramesh, Janjhyam Venkata Naga
[J]. EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2023,
[32] A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD
Yujun, Yang
Yimei, Yang
Jianhua, Xiao
[J]. COMPLEXITY, 2020, 2020
[33] Brent Oil Price Prediction Using Bi-LSTM Network
Vo, Anh H.
Trang Nguyen
Tuong Le
[J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2020, 26 (06): : 1307 - 1317
[34] Attention-based CNN-LSTM for high-frequency multiple cryptocurrency trend prediction
Peng, Peng
Chen, Yuehong
Lin, Weiwei
Wang, James Z.
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 237
[35] Scanpath Prediction for Visual Attention using IOR-ROI LSTM
Chen, Zhenzhong
Sun, Wanjie
[J]. PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 642 - 648
[36] BITCOIN PRICE PREDICTION USING LSTM, GRU AND HYBRID LSTM-GRU WITH BAYESIAN FOR THE NEXT DAYS
Kervanci, I. Sibel
Akay, M. Fathi
Ozceylan, Eren
[J]. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2024, 20 (02) : 570 - 588
[37] Stock Price Trend Prediction using Artificial Neural Network Techniques
Lertyingyod, Weerachart
Benjamas, Nunnapus
[J]. 2016 20TH INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC), 2016,
[38] Novel deep learning model for bitcoin price prediction by multiplicative LSTM with attention mechanism and technical indicators
Ahamed, S. Aarif
Ravi, Chandrasekar
[J]. INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION, 2022, 13 (02) : 164 - 177
[39] The share price trend prediction of China's coal listed companies -Based on PCA & BP neural network
Yang, Lanjin
[J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND INNOVATIVE EDUCATION (MSIE), 2016, 60 : 514 - 518
[40] Development of stock price prediction system using Flask framework and LSTM algorithm
Bagastio, Kefas
Oetama, Raymond Sunardi
Ramadhan, Arief
[J]. JOURNAL OF INFRASTRUCTURE POLICY AND DEVELOPMENT, 2023, 7 (03)

← 1 2 3 4 5 →