ETH analysis and predictions utilizing deep learning
作者：
Highlights：
• Analysis and forecasting of Ethereum cryptocurrency price utilizing deep learning.
• Presentation of prototype system architecture developed to analyze the collected data.
• Prototype implementation of a web-based real-time cryptocurrency forecasting system.
• Multiple comparisons of trading strategies indicate attractive profit capabilities.
• Extensive analysis of algorithmic approaches toward cryptocurrency price prediction.
摘要
•Analysis and forecasting of Ethereum cryptocurrency price utilizing deep learning.•Presentation of prototype system architecture developed to analyze the collected data.•Prototype implementation of a web-based real-time cryptocurrency forecasting system.•Multiple comparisons of trading strategies indicate attractive profit capabilities.•Extensive analysis of algorithmic approaches toward cryptocurrency price prediction.
论文关键词：Machine learning,Deep learning,Neural networks,Cryptocurrency,Blockchain,Expert systems
论文评审过程：Received 16 March 2020, Revised 5 August 2020, Accepted 7 August 2020, Available online 18 August 2020, Version of Record 10 October 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113866
