Open AccessBitcoin Price Alert and Prediction System using various Models
Author(s) -
Ashutosh Shankhdhar,
Akhilesh Kumar Singh,
Suryansh Naugraiya,
Prathmesh Kumar Saini
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1131/1/012009
Subject(s) - cryptocurrency , computer science , big data , currency , value (mathematics) , digital currency , multivariate statistics , econometrics , machine learning , artificial intelligence , data mining , economics , computer security , world wide web , monetary economics , payment
From last many years it has been a trend to invest in cryptocurrency especially (Bitcoin) because it is one of the most popular and decentralized digital currency. However, its prices keep on fluctuating very much that makes it difficult to predict. So, our research aim is to find the less time consuming and accurate model for the prediction of Bitcoin price from different machine learning models like (Multivariate Linear Regression, Theil-Sen Regression, Huber Regression) and deep learning algorithms like (LSTM, GRU). The dataset that we will use for our prediction purpose will be stored in MongoDB (Big-Data Tool) because it consists of huge data points. We have also implemented IOT in our system to create an alert system, which alerts user when the value of bitcoin price reaches a threshold value.