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Attention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction · Study

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ArticleAttention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction

Peng Peng2023

OA

Articlebronze2023

Attention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction

Peng Peng · Yuehong Chen · Weiwei Lin

64 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Blockchain Technology Applications and Security Time Series Analysis and Forecasting

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References

2017Stock price prediction using LSTM, RNN and CNN-sliding window model 2020A CNN-BiLSTM-AM method for stock price prediction 2018Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach 2021A Survey of Forex and Stock Price Prediction Using Deep Learning 2020Stock price prediction using deep learning and frequency decomposition 2021A graph-based CNN-LSTM stock price prediction algorithm with leading indicators 2019Study on the prediction of stock price based on the associated network model of LSTM 2020Gold volatility prediction using a CNN-LSTM approach

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2025Helformer: an attention-based deep learning model for cryptocurrency price forecasting

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Details

Year2023

Typearticle

Published2023-09-15

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations64

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2023.121520

openalex_workW4386759999

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