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Insider Trading Is Migrating to Prediction Markets — and Regulators Are Struggling to Keep Up

The Old Crime Has New Venues
Insider trading isn't new. What's new is where it's happening.
For decades, regulators focused on stock markets — catching corporate executives dumping shares before bad earnings, or tipping off their golf buddies. The SEC and DOJ built serious machinery for that. According to Dynamis LLP, a white-collar criminal defense firm, proving insider trading requires establishing that a trader possessed material, nonpublic information (MNPI), breached a duty of trust, and acted with scienter — meaning they knew what they were doing was wrong.
That's already a high bar in traditional markets. In prediction markets, it's even higher.
The $400,000 Problem
Consider a concrete example: according to NPR's The Indicator from Planet Money, an American soldier allegedly used classified government information to convert $33,000 into more than $400,000 through well-timed bets. Classified intel. Nearly a 1,200% return.
And that's just one case. NPR also flagged suspiciously well-timed bets on Polymarket — a major prediction market — around events like U.S. bombings of Iran and potential captures of Venezuelan President Nicolás Maduro. Those are not the kinds of things ordinary retail investors would know about in advance.
How Polymarket Gets Away With It
The structural problem lies in Polymarket's setup: the platform operates with a U.S.-regulated front-end that looks clean and compliant. The actual trading action, however, runs on a crypto-based, largely anonymous international back-end.
According to NPR's analysis, when large bets are placed on that back-end, identifying who placed them becomes extremely difficult. The anonymity that makes crypto attractive to libertarians and privacy advocates is the same feature that shields bad actors.
Blockchain transactions are permanent and theoretically traceable. But wallets aren't linked to real identities, making that traceability academic.
Kalshi Is Actually Trying to Police This
Not all prediction markets are shrugging. Kalshi — a CFTC-regulated U.S. exchange — published details in February 2026 on two insider trading cases it recently closed.
Case one: a candidate running for Governor of California traded roughly $200 on his own candidacy, then posted about it on social media. Kalshi's surveillance team flagged it, froze the account, and imposed a 5-year ban plus a financial penalty of 10 times the initial trade. The candidate has since dropped the governor's race and announced a run for Congress instead.
Case two: an insider traded $4,000 on YouTube streaming markets — essentially betting on outcomes he had inside knowledge about. Result: 2-year suspension and a 5x financial penalty.
According to Kalshi's Bobby DeNault, the exchange has opened 200 investigations in the past year, frozen multiple accounts, and referred cases to the CFTC as required by law. Kalshi is also donating collected fines to a nonprofit providing consumer education on derivatives markets, and has announced an independent Surveillance Audit Committee that will publish quarterly reports.
Kalshi's enforcement record exceeds what most regulated stock exchanges make public.
Congress Is Moving — Slowly
Former U.S. Democratic Senator Richard Blumenthal has introduced legislation to force prediction markets to operate more like regulated sportsbooks — think FanDuel and DraftKings — with real identity verification and reduced anonymity, according to NPR.
The logic is straightforward: if you can't hide who you are, you're less likely to bet on classified government operations. Sportsbooks already comply with know-your-customer rules. Why should prediction markets get a pass?
The bill hasn't moved fast. Legislative action typically lags when financial innovation outpaces understanding on Capitol Hill.
The Regulatory Arbitrage Problem
This is fundamentally a regulatory arbitrage story, not just a prediction market story.
Companies like Polymarket aren't accidentally operating on anonymous crypto back-ends. They're structured that way. That's a deliberate choice to exist in a legal gray zone — compliant enough to operate in the U.S., opaque enough that enforcement becomes difficult.
Kalshi's track record deserves more attention than it received — it's one of the few prediction markets actually self-policing with real penalties.
There's also a Congressional trading angle. If a sitting member of Congress with access to classified briefings bets on, say, an upcoming military strike — is that illegal? According to NPR's analysis, it's genuinely not clear under current law. The STOCK Act covers securities. Prediction markets exist in a different regulatory bucket. That loophole remains.
What This Means for Investors
If you're a regular investor in stocks, bonds, or ETFs, you're playing in a market where insider trading is at least nominally illegal and occasionally prosecuted. Every time someone trades on information you don't have access to, you're on the wrong side of that bet.
Prediction markets are growing fast. Billions of dollars are flowing through them. The infrastructure to police them honestly is years behind.
Until Congress closes the loopholes and regulators get serious enforcement tools, the person with the classified briefing wins. And everyone else loses.