Analysis and Prediction of Bitcoin Prices Utilizing the Data Science Methodology

Abstract

Bitcoin is one of the many advanced monetary standards used overall for electronic trades and money-related targets. Bitcoin has piqued the interest of both financial backers and scientists ever since Nakamoto first proposed it in 2008. Bitcoin is a decentralized mechanized cash that utilizes encryption techniques, decentralized arrangements, and various cycles to approve trades and guarantee security. Bitcoin can function as a digital asset and payment system, serving as a form of virtual currency. The recent surge in Bitcoin's prices has garnered significant attention from both the media and the general public. Because of its standing and eccentricity in cost changes, Bitcoin has received a lot of attention from monetary patrons, markets, examiners, and the media. The primary goal of our article is to dissect the typical fluctuations in bitcoin prices. We hypothesize that artificial intelligence strategies will aid in comprehending the excessively complex components of bitcoin. The goal of our paper is to develop an artificial intelligence model that can identify examples from verifiable data and make calculations to predict Bitcoin's price.