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New Bill Targets Federal Bets on Prediction Markets

Ritchie Torres and Nancy Pelosi lead a push for the Public Integrity in Financial Prediction Markets...

Digital Era News
Digital Era News
11/01/2026
4 mins read
House Democrats moves to insulate the federal government from the growing influence of decentralized wagering

A high-stakes legislative battle has ignited in Washington as a bipartisan-supported group of House Democrats moves to insulate the federal government from the growing influence of decentralized wagering. Representative Ritchie Torres (D-N.Y.) and former Speaker Nancy Pelosi officially introduced the Public Integrity in Financial Prediction Markets Act of 2026. This bill serves as a direct response to a series of suspicious, high-payout wagers on platforms like Polymarket that coincided perfectly with classified U.S. operations. By proposing a blanket ban on federal officials—including members of Congress, political appointees, and executive branch employees—from trading on outcomes they might personally influence or foresee, the legislation seeks to close a regulatory "gray zone" that critics describe as a breeding ground for a new form of modern-day insider trading.

  • Lawmakers are pushing to categorize prediction market contracts under the same rigorous ethics and disclosure rules as traditional securities.
  • The legislation specifically targets the exploitation of "material nonpublic information" following a controversial $400,000 payout linked to foreign regime changes.
  • Industry leaders from regulated platforms are surprisingly backing the move, seeking to differentiate their models from unregulated offshore competitors.

The catalyst for this sudden legislative urgency was a suspicious trading episode that unfolded just hours before the Trump administration’s recent military operation in Venezuela. On-chain data revealed a newly created Polymarket account that staked roughly $32,500 on the removal of Nicolás Maduro at odds of just 7%. When the capture was confirmed shortly after, the trader walked away with more than $400,000. For proponents of the Public Integrity in Financial Prediction Markets Act of 2026, this wasn't just a lucky guess; it was a "demonstrated danger" of government insiders leveraging their proximity to power for speculative gain.

The proposed law targets a wide swath of the federal workforce. If passed, it would prohibit any federal official who holds or could reasonably obtain material nonpublic information from participating in markets tied to government policy, administrative actions, or political outcomes. This move aims to restore public trust in an era where the line between "predicting" and "profiting" has become increasingly blurred. It mirrors broader efforts to modernize financial oversight, such as Bank of America’s recent integration of Bitcoin ETFs into its wealth advisory network, emphasizing that as digital assets mature, so must the ethical guardrails surrounding them.

The legislative push arrives at a time when prediction markets are witnessing an unprecedented increase in their global footprint. No longer niche arenas for crypto enthusiasts, these platforms have evolved into massive financial distribution layers. In December 2025 alone, regulated venues like Kalshi and decentralized giants like Polymarket reached record monthly trading volumes of $6.26 billion and $2.28 billion, respectively. This surge in liquidity has turned prediction markets into a viable asset class for professional traders, further complicating the ethical boundaries for government officials who may possess the very data that moves these markets.

As these platforms professionalize, they are also beginning to implement standard commercial structures to sustain their massive growth. A key example of this maturation is Polymarket's recent decision to move away from its historic zero-fee model. By implementing a new trading fee on its US app and short-term crypto markets, the platform is attempting to curb bot activity and establish a sustainable revenue stream. This commercial evolution highlights the shift toward a more traditional financial infrastructure, making the need for the Public Integrity in Financial Prediction Markets Act of 2026 even more pressing to ensure that federal employees cannot exploit these increasingly liquid and professionalized venues.

As the bill moves toward committee review, it faces a political landscape wary of "plain-sight corruption." Critics of the legislation argue that bans are difficult to enforce on anonymous decentralized platforms, yet supporters believe that codifying these ethical boundaries is the only way to prevent a total collapse of institutional integrity. Rep. Ritchie Torres has made it clear that "we ignore this at our own peril," pointing to the risk of officials pushing specific policies—such as military interventions or regulatory shifts—simply to line their own pockets.

The success of this bill may ultimately depend on whether Congress can find the same bipartisan momentum seen in the upcoming Senate markup of the Clarity Act. For now, the "Maduro trade" stands as a haunting example of what happens when asymmetric information meets unregulated speculative markets. If the Public Integrity in Financial Prediction Markets Act of 2026 becomes law, it will represent one of the most significant updates to government ethics rules since the STOCK Act, signaling that in the 2026 digital economy, information is the most dangerous currency of all.

Quotes and Expert Opinions

“The most corrupt corner of Washington, D.C. may well be the intersection of prediction markets and the federal government—where insider trading and self-dealing are no longer imagined risks but demonstrated dangers. We ignore this plain-sight corruption at our own peril.” — Rep. Ritchie Torres (D-N.Y.)
“Kalshi is supportive of the bill Ritchie Torres is looking to introduce to affirm the ban on insider trading on prediction markets. Why? Because we already implement it. What non-American, unregulated platforms do has no relationship to what regulated, American platforms do.” — Tarek Mansour, CEO of Kalshi
“Profits typically come from people who provide liquidity to markets by posting limit orders. The potential for insider trading reduces the liquidity of markets, and in some cases, it can cause prediction markets to fail to provide useful information.” — Eric Zitzewitz, Professor of Economics at Dartmouth College

Frequently Asked Questions (FAQ)

What is the Public Integrity in Financial Prediction Markets Act of 2026?
The Public Integrity in Financial Prediction Markets Act of 2026 is a proposed law designed to prohibit federal officials, including members of Congress and executive branch staff, from trading on prediction markets if they possess sensitive, non-public information related to the event.

Which officials are included in the ban?
The bill targets federal elected officials, political appointees, Executive Branch employees, and congressional staffers. It applies to anyone who holds or could reasonably obtain material nonpublic information through their official roles.

Why did the Polymarket trade on Maduro spark this legislation?
An anonymous account on Polymarket netted over $400,000 by betting on Maduro's ouster just hours before the U.S. military operation was announced. This raised immediate suspicions of insider trading, leading Rep. Torres to draft the Public Integrity in Financial Prediction Markets Act of 2026.

What happens if a federal official violates this Act?
While the specific penalties are still being finalized in the legislative draft, the Act aims to treat these violations similarly to securities-based insider trading, which can involve heavy fines, termination of employment, and potential criminal charges.

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