Ethereum NFTs Flagged for Suspected Wash Trading

aThis dataset provides NFT ownership traces and detection of potential wash trading activities across several prominent NFT collections on the Ethereum blockchain. The dataset is derived from the methodology presented in the paper "Beyond the Surface: Advanced Wash Trading Detection in Decentralized NFT Markets".

The approach proposed in the paper is not based on machine learning, but rather on the structural analysis of transaction patterns. It integrates NFT ownership traces with a novel structure called the Linkability Network, which links Ethereum accounts based on their transaction history to identify potentially collusive behavior.

The dataset contains:

NFT Ownership Traces: transfers of NFT ownership from EOAs, including the value in ETH and USD of trades finalized on NFT marketplaces: Blur, OpenSea, Looks Rare, X2Y2 … data collected from collection creatio to: 1.5.2022 Flagged NFTs: Each token ID is associated with the number of flagged trades detected by our algorithm. We analyzed the following Ethereum NFT collections:

• Bored Ape Yacht Club
• Mutant Ape Yacht Club
• Azuki
• Clonex
• Meebits
• Bored Ape Kennel Club
• Beanz Official
• Moonbirds
• Hape Prime
• Pudgy Penguins
• VeeFriends We are releasing this dataset to fill the gap caused by the absence of a ground truth dataset for validation purposes. Our goal is to facilitate the validation of future studies on NFT wash trading. Additionally, we encourage the machine learning community to leverage this dataset for training models aimed at detecting wash trading in NFTs.

For further details on the methodology, and our interpretation of results, please refer to the original publication: Beyond the Surface: Advanced Wash Trading Detection in Decentralized NFT Markets

We gratefully acknowledge OpenCloset.ai for providing auxiliary data used to enrich the NFT ownership traces.