Content of review 1, reviewed on July 30, 2022
Brief overview of the paper and its main findings
I found that this study has developed multivariate lstm with feature engineering using historical market values and comparative outcomes.
Major and minor points
Although this contemplation provided feature engineering based on historical market values, many studies show the importance of global crises, technical indicators, blockchain data, social networks, news, and macroeconomic indicators. Therefore, I do not believe it is a good fit for all cryptocurrencies or can provide generalizable takeaways for a really volatile crypto market.
Conflicts of interest
Do you have any conflicts of interest here? No.
Source
© 2022 the Reviewer (CC BY 4.0).
References
Abdullah, A. M., H., A. T. H. 2022. Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awareness. Electronics.
