Digital Assets Fair Estimation Using Artificial Intelligence

Abstract

The prediction of digital asset prices is a challenging task, as the value of digital assets is influenced by a multitude of factors, including market sentiment, technological advancements, and macroeconomic events. Despite these challenges, various approaches to digital asset price prediction have been proposed, including time-series analysis, machine learning (ML) algorithms, and Deep Learning (DL) algorithms. These algorithms involve using historical price data to make estimation about future price movements. It is important to note that digital asset price predictions are inherently uncertain and should be viewed as a guide rather than a definitive forecast. This proposed system can estimate the price for Non-Fungible Token(NFTs) collection as it can provide an accurate and reliable estimate of the value of these NFTs in the market. This information can help inform investment decisions, support market analysis, and improve the buying and selling experience for collections NFTs.