In the evolving landscape of digital art, Non-Fungible Tokens (NFTs) have emerged as a groundbreaking platform, bridging the realms of art and technology. NFTs serve as the foundational framework that has revolutionized the market for digital art, enabling artists to showcase and monetize their creations in unprecedented ways. NFTs combine metadata stored on the blockchain with off-chain data, such as images, to create a novel form of digital ownership. It is not fully understood how these factors come together to determine NFT prices. In this study, we analyze both on-chain and off-chain data of NFT collections trading on OpenSea to understand what influences NFT pricing. Our results show that while text and image data of the NFTs can be used to explain price variations within collections, the extracted features do not generalize to new, unseen collections. Furthermore, we find that an NFT collection's trading volume often relates to its online presence, like social media followers and website traffic.

数字艺术中的非同质化代币（NFTs）作为一个突破性平台，将艺术和技术领域连接起来，通过区块链存储的元数据与离链数据相结合，创造了一种新颖的数字资产形式，本研究分析了在OpenSea上进行交易的NFT集合的链上和链下数据，以了解影响NFT定价的因素。结果显示，尽管NFT的文本和图像数据可用于解释同一集合内的价格变动，但提取出的特征无法推广到新的、未曾见过的集合。此外，我们发现NFT集合的交易量通常与其在线存在，如社交媒体粉丝和网站流量有关。

NFT价格的决定因素