Unveiling Wash Trading in Popular NFT Markets (2403.10361v1)
Abstract: As emerging digital assets, NFTs are susceptible to anomalous trading behaviors due to the lack of stringent regulatory mechanisms, potentially causing economic losses. In this paper, we conduct the first systematic analysis of four non-fungible tokens (NFT) markets. Specifically, we analyze more than 25 million transactions within these markets, to explore the evolution of wash trade activities. Furthermore, we propose a heuristic algorithm that integrates the network characteristics of transactions with behavioral analysis, to detect wash trading activities in NFT markets. Our findings indicate that NFT markets with incentivized structures exhibit higher proportions of wash trading volume compared to those without incentives. Notably, the LooksRare and X2Y2 markets are detected with wash trading volume proportions as high as 94.5% and 84.2%, respectively.
- Looksrare rewards. https://looksrare.org/zh-Hans/rewards, 2022.
- X2y2 rewards. https://docs.x2y2.io/tokens/rewards/trading-rewards, 2023.
- Vitalik Buterin et al. A next-generation smart contract and decentralized application platform. 3(37):2–1, 2014.
- The dark side of nfts: A large-scale empirical study of wash trading. arXiv preprint arXiv:2312.12544, 2023.
- Wteye: On-chain wash trade detection and quantification for erc20 cryptocurrencies. Blockchain: Research and Applications, 4(1):100108, 2023.
- Understanding security issues in the nft ecosystem. In Proceedings of the ACM SIGSAC Conference on Computer and Communications Security, pages 667–681, 2022.
- Joshua AT Fairfield. Tokenized: The law of non-fungible tokens and unique digital property. 97:1261, 2022.
- Infura. Infura github repository. https://github.com/INFURA/infura, 2023.
- Characterizing erasable accounts in ethereum. In Proceedings of the 23rd Information Security Conference, pages 352–371, 2020.
- Clue: towards discovering locked cryptocurrencies in ethereum. In Proceedings of the 36th Annual ACM Symposium on Applied Computing, pages 1584–1587, 2021.
- An overview of ai and blockchain integration for privacy-preserving. arXiv preprint arXiv:2305.03928, 2023.
- LooksRare. Trading rewards. https://docs.looksrare.org/about/rewards/trading-rewards#how-do-trading-rewards-work, 2023.
- Automated smart contract summarization via llms. arXiv preprint arXiv:2402.04863, 2024.
- S Nakamoto. Nakamoto, s, bitcoin: A peer-to-peer electronic cash system, 2009.
- Sven Serneels. Detecting wash trading for nonfungible tokens. Finance Research Letters, 52:103374, 2023.
- Abnormal trading detection in the nft market. arXiv preprint arXiv:2306.04643, 2023.
- Detecting and quantifying wash trading on decentralized cryptocurrency exchanges. In Proceedings of the Web Conference, pages 23–32, 2021.
- Nft wash trading: Quantifying suspicious behaviour in nft markets. arXiv preprint arXiv:03866, 2022.
- Nftdisk: Visual detection of wash trading in nft markets. In Proceedings of the CHI Conference on Human Factors in Computing Systems, pages 1–15, 2023.
- Authros: Secure data sharing among robot operating systems based on ethereum. In Proceedings of the 22nd International Conference on Software Quality, Reliability and Security, pages 147–156, 2022.
- Yuanzheng Niu (4 papers)
- Xiaoqi Li (77 papers)
- Hongli Peng (8 papers)
- Wenkai Li (30 papers)