Detecting Crypto Wash Trades via Machine Learning

Description

This dataset accompanies the paper "Detecting Crypto Wash Trades via Machine Learning" and the associated Github repository (see Related Links). It contains labeled machine learning samples constructed from on-chain transactions of major NFT exchanges and Mt. Gox. Each row corresponds to a trade with engineered features and a binary label indicating legitimate or wash transaction. These files are the inputs used to train and test the machine learning models described in the paper. The raw data sources and preprocessing steps are documented in the paper and GitHub repository.

Institutions

• University of Pennsylvania

  PA, Philadelphia
• University of California Los Angeles

  CA, Los Angeles
• Boston University

  MA, Boston

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Related Links

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