论文标题
NFT WASH交易:量化NFT市场中的可疑行为
NFT Wash Trading: Quantifying suspicious behaviour in NFT markets
论文作者
论文摘要
以太坊区块链上非智能令牌(NFTS)的基于智能合同的市场在2021年取得了巨大的增长,交易量在2021年9月在3.5B处达到顶峰。这一戏剧性的激增导致行业观察者质疑没有确定性的人的智障人士的真实性,并质疑了这些人的认可,并且鉴于这些人的依靠,并且可以与这些人进行多种多样的态度。我们研究了从2018年1月至2021年11月中旬的NFT市场中潜在的非法交易模式,从数量划分的52个最大收藏中收集了数据。我们的发现表明,在我们的样本中,地址的3.93%,处理总计2.04%的销售交易,引发了对市场滥用的怀疑。标记的交易几乎污染了所有藏品,并可能在此期间将真实的交易量增加了14.95万。大多数标记的交易模式在几个地址之间交替,表明手动交易的易感性。我们认为,此处提供的结果可以作为以太坊上NFT WASH交易的可行下限估计。即便如此,我们认为WASH交易可能比以前估计的行业观察员不那么普遍。我们为加密货币市场中市场滥用的识别和威慑贡献了新兴的论述。
The smart contract-based markets for non-fungible tokens (NFTs) on the Ethereum blockchain have seen tremendous growth in 2021, with trading volumes peaking at 3.5b in September 2021. This dramatic surge has led to industry observers questioning the authenticity of on-chain volumes, given the absence of identity requirements and the ease with which agents can control multiple addresses. We examine potentially illicit trading patterns in the NFT markets from January 2018 to mid-November 2021, gathering data from the 52 largest collections by volume. Our findings indicate that within our sample 3.93% of addresses, processing a total of 2.04% of sale transactions, trigger suspicions of market abuse. Flagged transactions contaminate nearly all collections and may have inflated the authentic trading volumes by as much as 149,5m for the period. Most flagged transaction patterns alternate between a few addresses, indicating a predisposition for manual trading. We submit that the results presented here may serve as a viable lower bound estimate for NFT wash trading on Ethereum. Even so, we argue that wash trading may be less common than what industry observers have previously estimated. We contribute to the emerging discourse on the identification and deterrence of market abuse in the cryptocurrency markets.