What Determines the Price of NFTs? (2310.01815v1)
Abstract: 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.
- “Nft market sales in 2021 and 2022,” https://decrypt.co/118438/2022-versus-2021-nft-sales, accessed: 28.06.2023.
- M. Nadini, L. Alessandretti, F. Di Giacinto, M. Martino, L. M. Aiello, and A. Baronchelli, “Mapping the nft revolution: market trends, trade networks, and visual features,” Scientific reports, vol. 11, no. 1, p. 20902, 2021.
- S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” Decentralized business review, 2008.
- L. Kugler, “Non-fungible tokens and the future of art,” Communications of the ACM, vol. 64, no. 9, pp. 19–20, 2021.
- M. Dowling, “Is non-fungible token pricing driven by cryptocurrencies?” Finance Research Letters, vol. 44, p. 102097, 2022.
- ——, “Fertile land: Pricing non-fungible tokens,” Finance Research Letters, vol. 44, p. 102096, 2022.
- J. Luo, Y. Jia, and X. Liu, “Understanding nft price moves through social media keywords analysis,” arXiv preprint arXiv:2209.07706, 2022.
- A. Kapoor, D. Guhathakurta, M. Mathur, R. Yadav, M. Gupta, and P. Kumaraguru, “Tweetboost: Influence of social media on nft valuation,” in Companion Proceedings of the Web Conference 2022, 2022, pp. 621–629.
- H. Schnoering and H. Inzirillo, “Constructing a nft price index and applications,” arXiv preprint arXiv:2202.08966, 2022.
- B. White, A. Mahanti, and K. Passi, “Characterizing the opensea nft marketplace,” in Companion Proceedings of the Web Conference 2022, 2022, pp. 488–496.
- D. Costa, L. La Cava, and A. Tagarelli, “Show me your nft and i tell you how it will perform: Multimodal representation learning for nft selling price prediction,” in Proceedings of the ACM Web Conference 2023, 2023, pp. 1875–1885.
- “Opensea collection ranking,” https://opensea.io/rankings?sortBy=total_volume&chain=ethereum, accessed: 31.05.2023.
- “Zylalabs site traffic api,” https://zylalabs.com/api-marketplace/data/site+traffic+api/29, accessed: 10.06.2023.
- “Openseaeventendpoint,” https://docs.opensea.io/v1.0/reference/retrieving-asset-events, accessed: 31.05.2023.
- “The imagenet dataset for computer vision learning,” https://www.image-net.org/, accessed: 28.06.2023.