محمود قمری اصل

  Today, new technologies are widely used in economic and financial matters. According to recent reports, the size of the digital economy is estimated to be around ۲۵\\$ (equivalent to ۲۳\\$ trillion) in ۲۰۲۵, which includes tangible and intangible digital assets. The newest technology for creating and spending digital assets is distributed ledger technology (DLT), and its best-known application is the digital currency Bitcoin. Bitcoin is a decentralized cryptocurrency that is considered a type of digital asset and provides the basis for peer-to-peer financial transactions based on blockchain technology. Before ۲۰۱۳, public interest in Bitcoin, its use in virtual transactions, and its prices were low. Bitcoin, as a completely resilient digital asset, can recover its value after a significant drop, even under conditions of market uncertainty such as the "COVID-۱۹" pandemic. One of the main problems of decentralized cryptocurrencies is price volatility, which indicates the need to study The model is the original price. In addition, Bitcoin prices show unstable behavior such that the statistical distribution of the data changes over time. Due to the rapid change in the price of Bitcoin, many researchers have made attempts to predict the price, which has been the subject of a number of studies using technical and economic indicators. Other recent studies have used various methods related to machine learning to predict the end of the day price and to predict the next day's price increase or decrease, which reported a maximum accuracy of ۶۳\\% and a success rate for predicting the increase or decrease in prices up to ۹۸\\%. Bitcoin price data and features are available online for free. The data of this article is collected from the website "https://bitinfocharts.com". The main goal of the current research is to predict the price of Bitcoin using classic time series models with a machine learning approach.