Crypto Currency Price Forecast: Neural Network Perspectives
The study examines the problem of modeling and forecasting the price dynamics of crypto currencies. We use machine learning techniques to forecast the price of crypto currencies. The FB Prophet time series model and the LSTM recurrent neural network were selected to implement the study. Using the ex...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
National Bank of Ukraine
2022-12-01
|
| Series: | Visnyk of the National Bank of Ukraine |
| Subjects: | |
| Online Access: | https://journal.bank.gov.ua/en/article/2022/254/03 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832584852209139712 |
|---|---|
| author | Yuriy Kleban Tetiana Stasiuk |
| author_facet | Yuriy Kleban Tetiana Stasiuk |
| author_sort | Yuriy Kleban |
| collection | DOAJ |
| description | The study examines the problem of modeling and forecasting the price dynamics of crypto currencies. We use machine learning techniques to forecast the price of crypto currencies. The FB Prophet time series model and the LSTM recurrent neural network were selected to implement the study. Using the example of data from Binance (the most popular exchange in Ukraine) for the period from 06.07.2020 to 01.04.2023, prices for Bitcoin, Ethereum, Ripple, and Dogecoin were modeled and forecasted. The recurrent neural network of long-term memory showed significantly better results in forecasting according to the RMSE, MAE, and MAPE criteria, compared to the Naïve model, the traditional ARIMA model, and the FB Prophet results. |
| format | Article |
| id | doaj-art-3c043d8d3b0f495f907d58114fee59be |
| institution | Kabale University |
| issn | 2414-987X |
| language | English |
| publishDate | 2022-12-01 |
| publisher | National Bank of Ukraine |
| record_format | Article |
| series | Visnyk of the National Bank of Ukraine |
| spelling | doaj-art-3c043d8d3b0f495f907d58114fee59be2025-01-27T10:27:21ZengNational Bank of UkraineVisnyk of the National Bank of Ukraine2414-987X2022-12-01254294210.26531/vnbu2022.254.03Crypto Currency Price Forecast: Neural Network PerspectivesYuriy Kleban0https://orcid.org/0000-0002-7070-5175Tetiana Stasiuk1https://orcid.org/0009-0008-5606-2557National University of Ostroh AcademyNational University of Ostroh AcademyThe study examines the problem of modeling and forecasting the price dynamics of crypto currencies. We use machine learning techniques to forecast the price of crypto currencies. The FB Prophet time series model and the LSTM recurrent neural network were selected to implement the study. Using the example of data from Binance (the most popular exchange in Ukraine) for the period from 06.07.2020 to 01.04.2023, prices for Bitcoin, Ethereum, Ripple, and Dogecoin were modeled and forecasted. The recurrent neural network of long-term memory showed significantly better results in forecasting according to the RMSE, MAE, and MAPE criteria, compared to the Naïve model, the traditional ARIMA model, and the FB Prophet results.https://journal.bank.gov.ua/en/article/2022/254/03forecastingneural networkscrypto currencytime series |
| spellingShingle | Yuriy Kleban Tetiana Stasiuk Crypto Currency Price Forecast: Neural Network Perspectives Visnyk of the National Bank of Ukraine forecasting neural networks crypto currency time series |
| title | Crypto Currency Price Forecast: Neural Network Perspectives |
| title_full | Crypto Currency Price Forecast: Neural Network Perspectives |
| title_fullStr | Crypto Currency Price Forecast: Neural Network Perspectives |
| title_full_unstemmed | Crypto Currency Price Forecast: Neural Network Perspectives |
| title_short | Crypto Currency Price Forecast: Neural Network Perspectives |
| title_sort | crypto currency price forecast neural network perspectives |
| topic | forecasting neural networks crypto currency time series |
| url | https://journal.bank.gov.ua/en/article/2022/254/03 |
| work_keys_str_mv | AT yuriykleban cryptocurrencypriceforecastneuralnetworkperspectives AT tetianastasiuk cryptocurrencypriceforecastneuralnetworkperspectives |