Abstract
Wash trading refers to the practice of buying and selling securities without taking a net position, for the purpose of artificially inflating recorded volume. It is prohibited by law in the United States, but evidence suggests that it is widespread on some exchanges, especially those involving cryptocurrencies where trader identities can be shielded. The reliable detection of wash trading is challenging because it can be implemented using a variety of different approaches, some of which resemble authentic and lawful strategies such as automated market making. We propose an iterative network-based procedure for detection based on the idea that wash traders form approximately closed clusters of colluding counterparties, seldom transacting with other market participants. Applying this method to the Polymarket exchange, we estimate that transaction patterns indicative of wash trading began to trend upward in July 2024, peaking at nearly 60 percent of volume in December 2024. This activity persisted through late April 2025 before subsiding substantially, and once again increased to about 20 percent of volume in early October 2025.