Analysis of Trending NFTs using Time-Series Techniques

Abstract

The financial ecology has changed thanks to blockchain technology. The first known instance of blockchain may be found in a 2008 whitepaper written by a person using the alias Satoshi Nakamoto. Non-Fungible Tokens, or NFTs, are a blockchain product that has attracted a lot of public interest. A NFT is a digital property that is implemented via blockchain. It is used to prove ownership and authenticity as it cannot be duplicated, replaced, or divided. An NFT's ownership is documented in the blockchain and is transferrable by the owner, enabling the sale and trading of NFTs. Through this paper we try to establish a relationship between NFT value and various factors such as social media, OpenSea data and so on. We aim to achieve this by using Support Vector Machine, Recurrent Neural Networks, Regression for accurate results. Thus, predicting the value of the NFT precisely.