Projecting Non-Fungible Token (NFT) Collections: A Contextual Generative Approach

Understand

Non-fungible tokens (NFTs) are digital assets stored on a blockchain representing real-world objects such as art or collectibles.

• An NFT collection comprises numerous tokens; each token can be transacted multiple times.
• It is a multibillion-dollar market where the number of collections has more than doubled in 2022.
• In this paper, we want to obtain a generative model that, given the early transactions history (first quarter Q1) of a newly minted collection, generates subsequent transactions (quarters Q2, Q3, Q4), where the generative model is trained using the transaction history of a few mature collections.