Prediction Market have spent the last two years aggressively building toward mainstream legitimacy, processing over $3.6 billion in volume during the 2024 U.S. election cycle alone and earning regulatory footholds that seemed unthinkable just a few years ago.
That growth, however, has come with an uncomfortable side effect: the platforms have become a potential mechanism for government insiders to monetize non-public information, and Washington is now paying close attention.
The concern is straightforward and damaging. When a congressional staffer knows a bill is three votes from passage before that information is public, a position on a political event contract is not a wager, it is an arbitrage.
That information asymmetry is exactly the kind of structural integrity problem that tends to invite durable regulatory responses, not passing scrutiny. That context helps explain why multiple congressional offices are now moving to close the gap themselves, before federal law forces them to.
Bill Huizenga and Moulton Signal a Bipartisan Line
Republican Congressman Bill Huizenga, a senior member of the House Financial Services Committee, has formally banned his congressional staff from trading on prediction market platforms, specifically naming Kalshi and Polymarket in the policy.
Rep. Seth Moulton bans staff from using prediction markets like Kalshi, Polymarket https://t.co/HqtpZKkaFc
— CNBC (@CNBC) March 25, 2026
Huizenga cited the clear conflict of interest created when staff can place bets on the direct outcome of their own legislative work — calling it a dynamic that undermines public trust in the institution itself.
The move follows a nearly identical policy instituted by Massachusetts Democrat Seth Moulton, whose office-wide ban — effective March 25, 2026 — prohibits all staff, across district, legislative, communications, and operations functions, from trading or holding positions tied to political, legislative, regulatory, or geopolitical outcomes. Moulton stated that prediction markets have become a playground for insiders profiting on election outcomes, geopolitical events, and even the deaths of public figures. Two offices, two parties, one shared concern — that is the kind of convergence that signals durable regulatory direction rather than partisan noise.
Insider Trading Risk Is Now the Prediction Market Core Legitimacy Problem
For platforms like Kalshi and Polymarket, the timing of this scrutiny is genuinely inconvenient. Both have been pushing hard for institutional credibility — Kalshi through CFTC-regulated event contracts, Polymarket through volume metrics that rival traditional political polling in visibility.
The insider trading concern does not invalidate the model, but it attaches a reputational liability that gets harder to shake the more congressional offices formally distance themselves from it.
Kalshi has already updated its terms of service to restrict government employees from trading on certain political contracts — a preemptive move that acknowledges the regulatory pressure without waiting for legislation.
Prediction markets are one of the most exciting innovations in financial markets. Yet for too long, the @CFTC has failed to provide guidance for these markets being used by millions of Americans. This ends today.
Read what steps the agency is taking here⬇️…
— Mike Selig (@ChairmanSelig) March 12, 2026
Polymarket has historically blocked U.S. IP addresses outright, though VPN usage remains a known variable in its volume figures. Neither response fully resolves the information asymmetry problem that makes these bans politically necessary. Prediction market analyst Dustin Gouker noted that insider trading on Washington-adjacent events is clearly unwelcome at CFTC-regulated venues, and that meaningful legal penalties would make that boundary explicit rather than implied.
The read-through for prediction market tokens and oracle infrastructure — including UMA, which underlies Polymarket’s resolution mechanism — is a potential regulatory discount if volume contracts under broader federal restrictions. Smart money already prices policy risk into crypto-adjacent products; political figures’ intersections with crypto markets have already demonstrated how quickly sentiment can reprice around conflict-of-interest narratives.
