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| Content Provider | IET Digital Library |
|---|---|
| Author | Li, Yan Dai, Wei |
| Abstract | In this study, aiming at the problem that the price of Bitcoin varies greatly and is difficult to predict, a hybrid neural network model based on convolutional neural network (CNN) and long short-term memory (LSTM) neural network is proposed. The transaction data of Bitcoin itself, as well as external information, such as macroeconomic variables and investor attention, are taken as input. Firstly, CNN is used for feature extraction. Then the feature vectors are input into LSTM for training and forecasting the short-term price of Bitcoin. The result shows that the CNN-LSTM hybrid neural network can effectively improve the accuracy of value prediction and direction prediction compared with the single structure neural network. The finding has important implications for researchers and investors in the digital currencies market. |
| Starting Page | 344 |
| Ending Page | 347 |
| Page Count | 4 |
| Volume Number | 2020 |
| e-ISSN | 20513305 |
| Issue Number | Issue 13, Jul (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2020/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1203 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2020-01-13 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Bitcoin Price Forecasting Method CNN-LSTM Hybrid Neural Network Model Convolutional Neural Nets Convolutional Neural Network Cryptocurrencies Data Handling Technique Digital Currencies Market Direction Prediction Economic Forecasting Feature Extraction Feature Vector Financial Computing Investor Attention Long Short-term Memory Macroeconomic Variables Macroeconomics Neural Computing Technique Pricing Recurrent Neural Nets Short-term Price Single Structure Neural Network Transaction Data Transaction Processing Value Prediction |
| Content Type | Text |
| Resource Type | Article |
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