NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks

Non-Fungible Tokens (NFTs) are transforming human coordination across economic, governance, and social protocols of Web3 [1] [2]. Despite their nascency, NFTs have a market cap of $50B and are becoming a key element of ownership in the digital world [3]. Similar to traditional equity markets, NFT markets are volatile and challenging to speculate upon. Forecasting future values of NFTs are important for individual financial security and investment making as they become a primitive asset class for investors. The NFT market is highly heterogeneous with 1% of assets being traded for over $1500 and 75% being traded for less than $15 [4]. Additionally, only 32,000 wallets hold 80% of the market cap of the NFT market making the inequities clear and ability for rapid changes to markets more easily accessible [5]. engagement passed through machine learning varying an NFT’s among various