Columbia study finds 25% of Polymarket trades are wash trading

Wash Trading Dominates Crypto Prediction Markets

A recent study from Columbia University has revealed some troubling patterns in cryptocurrency prediction markets. The research, published in November 2025, analyzed on-chain data from Polymarket and found that about a quarter of all trading volume over the past three years was artificially inflated. That’s a significant number when you think about it—one in every four trades wasn’t genuine market activity.

What exactly is wash trading? It’s when traders simultaneously buy and sell the same contracts to create the illusion of high liquidity and activity. They’re not actually taking real risk or changing their positions—just making it look like there’s more happening than there really is. I suppose it’s a way to attract more participants by making the platform appear more active than it actually is.

Community Reactions and Alternative Concerns

This revelation sparked quite a discussion among crypto enthusiasts. While many agreed that wash trading is problematic, some argued that spoofing might be an even bigger concern. Spoofing involves placing orders with no intention of filling them, creating false signals about market direction. One community member noted that while traders can sometimes benefit from wash trading volumes, spoofing happens so quickly that only platforms or regulators can effectively address it.

There was an interesting suggestion from one respondent—implementing a rule that prevents traders from cancelling orders for at least 15 seconds. The thinking here is that this would discourage manipulators from placing orders they don’t intend to fill. It’s a simple idea, but perhaps it could make a difference in reducing deceptive practices.

The Regulatory Question

This brings up the ongoing debate about regulation in crypto markets. Trading cryptocurrencies already involves significant risks that are inherent to the space. But when you add artificially engineered risks like wash trading and spoofing, it becomes even more challenging for regular traders to navigate.

Many users are starting to advocate for some form of institutional support or rules to protect against these avoidable risks. The tricky part is finding the right balance—enough regulation to prevent manipulation but not so much that it stifles innovation or goes against the decentralized ethos that attracted many to crypto in the first place.

What’s clear is that as these markets mature, discussions about market integrity and participant protection will only become more important. The Columbia study provides concrete data that can help inform these conversations, giving regulators and platform operators something more substantial to work with than just anecdotal evidence.