Bitcoin Price Prediction using Machine Learning

被引：0
|
作者：
Velankar, Siddhi [1 ]
Valecha, Sakshi [1 ]
Maji, Shreya [1 ]
机构：
[1] Pune Inst Comp Technol, Dept Elect & Telecommun, Pune, Maharashtra, India
来源：
2018 20TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT) | 2018年
关键词：
Bayesian regression; Bitcoin; Bitcoin prediction; Blockchain; crypto currency; generalized linear model (GLM); machine learning;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we attempt to predict the Bitcoin price accurately taking into consideration various parameters that affect the Bitcoin value. For the first phase of our investigation, we aim to understand and identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. Our data set consists of various features relating to the Bitcoin price and payment network over the course of five years, recorded daily. For the second phase of our investigation, using the available information, we will predict the sign of the daily price change with highest possible accuracy.
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页码：144 / 147
页数：4
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