"This isn't the stock market, where using nonpublic information will land you in jail."

That is how Polycool, one of the startups now under review by Polymarket, responded to the platform's audit of third-party copy-trading products. The statement captures the central legal dispute now unfolding around prediction markets.

Polymarket has launched audits of third-party startups building copy-trading products that track wallets suspected of operating on non-public information, according to a report from The Block published April 14, 2026. The move comes as academic researchers, legislators, and regulators pile pressure on the prediction market platform over a pattern of suspiciously timed bets worth more than $143 million, by conservative academic estimates.

One of the startups under review is Polycool, a mobile-first trading interface built on top of Polymarket. The platform offers an "Insiders Feed" that shows users real-time activity from wallets it identifies as likely informed traders, along with copy-trading functionality it describes as having industry-leading latency. Polycool charges a 1% fee per trade and reports more than 3,000 active traders.

Polymarket operates on the Polygon blockchain, meaning every transaction is publicly visible and permanently recorded. Copy-trading tools like Polycool, PolyTrack, Polywhaler, and PolymarketScan, among others, all rely on this transparency to surface large trades and flag wallets with unusual win rates. The question regulators and platform operators are now asking is whether surfacing that data and enabling users to act on it crosses a legal or ethical line.

The Numbers Behind the Suspicion

A paper published March 25, 2026 through the Harvard Law School Corporate Governance Forum provides the most detailed accounting yet of the problem's scale. Researchers Joshua Mitts of Columbia Law School and Moran Ofir of the University of Haifa analysed more than 93,000 Polymarket contracts and over 50,000 unique wallets from February 2024 to February 2026. Published under the title "From Iran to Taylor Swift: Informed Trading in Prediction Markets," the paper identified 210,718 suspicious wallet-market pairs using a composite five-signal scoring system.

Flagged wallets recorded a 69.9% win rate, exceeding what random chance would predict by more than 60 standard deviations. Estimated anomalous profits across the period came to at least $143 million.

Specific cases illustrate the pattern. In February 2026, six wallets placed bets as low as $0.10 per share on a U.S.-Israel strike on Iran, 71 minutes before the news became public. The six wallets collected approximately $1.2 million in total, with the top wallet, known as "Magamyman," taking $553,000. Ahead of a Maduro-related operation in Venezuela, a single wallet converted a $38,500 stake into $485,000. Around the April 7 Iran ceasefire announcement, four suspected insider wallets, joined by more than 50 newly created accounts, collected roughly $663,000 in total. Days later, on April 10, the White House reportedly issued a reminder to staff: do not use non-public information to place bets on prediction markets, following President Trump's announcement of a pause in Iran strikes.

The breadth of suspected informed trading extends well beyond geopolitical events. The same Mitts and Ofir paper documents a case in which a wallet converted $10,000 into more than $1 million ahead of Google's Year in Search announcement. The paper also flags a wallet known as "Romanticpaul" that appears to have traded ahead of Taylor Swift's engagement news. The paper's title, referencing both Iran and Taylor Swift, signals the scope of what the researchers found across the two-year dataset.

Polymarket updated its market integrity rules in March 2026, explicitly prohibiting trades based on stolen confidential information, illegal tips, or knowledge that a user could directly influence an outcome. Penalties include wallet bans, monetary penalties, and referrals to law enforcement.

Why the Legal Grey Zone Argument Is Narrowing

The Mitts and Ofir paper identifies three structural gaps in U.S. law that have so far shielded prediction market trading from the scrutiny applied to securities markets. Most prediction contracts are not classified as securities, placing them outside SEC jurisdiction. The relevant regulation, CFTC Rule 180.1, is narrower than its securities law equivalents, and duty-to-disclose requirements are unclear under that rule. Wire fraud prosecution requires proving commercial value flowed to whoever provided the tip, which is difficult in cases involving military or geopolitical intelligence.

Some regulatory history is worth noting here. Polymarket previously settled CFTC fines for operating unregistered swaps and currently operates under a Regulatory Services Agreement with the National Futures Association (NFA). The platform is not a newcomer to regulatory scrutiny, which makes the current audit of copy-trading tools a continuation of an ongoing compliance relationship rather than a first encounter with oversight.

The remaining structural gaps are drawing legislative attention. A bipartisan Senate effort, covered by CNBC on March 25, 2026, argues Polymarket's self-imposed rules are insufficient. Separately, in the House of Representatives, Representative Ritchie Torres introduced the Public Integrity in Financial Prediction Markets Act (H.R. 7004) in direct response to the suspicious Venezuela bets. The two initiatives originate in separate chambers and represent distinct legislative tracks, but both reflect growing congressional concern about prediction market integrity.

What This Means for Users in Africa and South Asia

The audit and legislative pressure have clear implications beyond the United States. Polymarket operates in roughly 180 countries and currently hosts around 130 active markets focused on Africa. Prediction market products have recently launched in Nigeria through Luno and Bayse Markets (formerly Gowagr), and Polymarket is accessible across India. Other South Asian markets, including Pakistan and Bangladesh, face additional restrictions on crypto generally, which limits Polymarket's reach and that of associated tools in those countries.

Tools like Polycool reach users partly through Telegram alerts, a platform with high penetration in Nigeria, Kenya, and India. Pakistan similarly has high Telegram usage, though the crypto access restrictions that apply there complicate the picture for copy-trading tools specifically.

No specific legal framework governs prediction market activity in any of those jurisdictions today. Telecom and financial regulators have yet to address this specific activity, leaving users and developers operating in what researchers describe as a regulatory blind spot. However, the same Polygon blockchain transparency that makes copy-trading possible also creates a permanent, auditable evidence trail. Researchers have already demonstrated the ability to reconstruct trading patterns retrospectively across tens of thousands of wallets. If future legislation or enforcement sweeps extend to third-party tools, users in emerging markets who have been mirroring flagged wallets will not be insulated simply because local rules do not yet address the activity.

Polymarket's platform generates more than $1.5 billion in weekly trading volume. As that number grows and as the tools built around it become more sophisticated, analysts and legislators increasingly argue that the case for prediction markets existing entirely outside existing market integrity frameworks is becoming harder to sustain. The audit of Polycool and its peers is an early indication of where the lines are being drawn.