Real-world model for bitcoin price prediction

作者：

Highlights：

• Majorly two machine learning algorithms are proposed and implemented for forecasting bitcoin values.

• Built a time-series model for which fbprophet library is being used.

• The fbprophet model is utlised to predict real-world outcomes after eliminating the seasonality effect.

摘要

•The aim is to achieve a model to predict closing price of bitcoin along with bitcoin opening Price, bitcoin day high Price, bitcoin day low Price, bitcoin day volume and market capitalization of bitcoin on day by using deep leaning algorithms and various concepts of machine learning, which can find hidden patterns in data, combine them, and make more accurate predictions.•Majorly two machine learning algorithms are proposed and implemented for forecasting bitcoin values.•Built a time-series model for which fbprophet library is being used.•The fbprophet model is utlised to predict real-world outcomes after eliminating the seasonality effect.

论文关键词：Bitcoin,Cryptocurrency,Machine learning,Prediction,Time series analysis,Fbprophet model

论文评审过程：Received 31 January 2022, Revised 25 April 2022, Accepted 28 April 2022, Available online 19 May 2022, Version of Record 19 May 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102968