Author/Authors :
Naghib-Moayed, Ali Department of Statistics - Allameh Tabatabyee University , Habibi, Reza Iran Banking Institute - Central Bank of Iran
Abstract :
Generally, no one can reject the fact that crypto currency
market is expanded rapidly during last few
years as, nowadays, crypto currency market is attractive
for both traders and business who are not willing
to pay for FATF services for transferring money.
With this in mind, crypto currency price prediction is
crucial for many people and business entities. While
there have been quite a few conventional statistical
models to forecast crypto currency prices, we decided
to make price prediction using decision Tree Based
Regression. In this research we devised a decision tree
models to predict Bitcoin which is the most renowned
and frequently used crypto currency. we used Volume
from, Volume to, New addresses, Active addresses,
large transaction count, Block height, Hash rate,