Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators

Author:

Shrivastava TulikaORCID,Suleiman BasemORCID,Alibasa Muhammad JohanORCID

Publisher

Springer Nature Singapore

Reference18 articles.

1. Yahoo finance. https://finance.yahoo.com/cryptocurrencies/

2. Abraham, J., Higdon, D.W., Nelson, J., Ibarra, J.: Cryptocurrency price prediction using tweet volumes and sentiment analysis. SMU Data Sci. Rev. 1(3) (2018). https://scholar.smu.edu/datasciencereview/vol1/iss3/1

3. Abu Bakar, N., Rosbi, S., Kiyotaka, U.: Forecasting cryptocurrency price movement using moving average method: a case study of bitcoin cash. Int. J. Adv. Res. 7, 609–614 (2019). https://doi.org/10.21474/IJAR01/10188

4. Cavalli, S., Amoretti, M.: CNN-based multivariate data analysis for bitcoin trend prediction. Appl. Soft Comput. 101, 107065 (2020). https://doi.org/10.1016/j.asoc.2020.107065

5. Fathi, O.: Time series forecasting using a hybrid Arima and LSTM model, pp. 1–7. Velvet Consulting (2019)

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