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Trump’s Teleprompter Operator Investigated for Insider Trading, "Whistleblower" Turns Out to Be Prediction Platform Kalshi

According to reports from CNBC and ABC, a longtime teleprompter operator for President Trump, Gabriel Perez, is under federal investigation for allegedly using insider information to place bets on the prediction market platform Kalshi. Perez, who had handled Trump's speeches since 2016, is suspected of trading on over a dozen upcoming presidential addresses, including the State of the Union, based on his advance knowledge of speech content. Kalshi's monitoring systems flagged the atypical trading patterns in March, leading to his account being frozen and the case being referred to the Commodity Futures Trading Commission (CFTC). Perez reportedly profited over $90,000, though most funds are held by the platform. He is now in settlement talks with the CFTC and has been placed on unpaid leave by the White House. This incident is part of a broader pattern of insider trading on prediction markets. Similar cases involve a congressional candidate betting against his own attendance, military personnel using classified information, and a Google engineer trading on internal data. The growing liquidity of these markets, with some contracts seeing over $150,000 in volume, creates incentives for abuse. In response, platforms like Kalshi are enhancing monitoring, requiring occupational disclosures, and cooperating with regulators. The CFTC and the Justice Department are pursuing civil and criminal actions, while the White House has issued memos explicitly barring staff from such trading.

Foresight News07/17 10:01

Trump’s Teleprompter Operator Investigated for Insider Trading, "Whistleblower" Turns Out to Be Prediction Platform Kalshi

Foresight News07/17 10:01

World Cup Approaches, Prediction Markets Face a Major Test

The 2026 FIFA World Cup represents a major public test for sports prediction markets like Polymarket and Kalshi, which have grown significantly by offering tradable markets on event outcomes. This global event, hosted by the US, Canada, and Mexico, concentrates risks related to sports integrity, cross-border operations, and gambling ecosystems. A key concern is the potential for insider trading on non-public information (e.g., injuries, lineups), which could be exploited in granular prediction markets. FIFA's choice of its official prediction market partner, ADI Predictstreet, has raised significant doubts. The platform, relatively unknown, has faced scrutiny over the integrity of its executives—including past insider trading allegations and associations with a major EU corruption scandal—its rapid licensing in Gibraltar, and the fact its product was not yet live at the time of the announcement. This partnership begins with a "trust deficit." FIFA itself carries historical corruption baggage, and its deepening ties with betting and data industries fuel concerns about maintaining sporting integrity. While FIFA has established monitoring systems, their effectiveness against potential insider trading across decentralized global prediction markets remains unproven. Major US-based prediction platforms have updated rules to prohibit trading based on confidential information. However, the World Cup's complex ecosystem of federations, teams, and officials makes enforcement far more challenging than in domestic leagues. The event will not determine the fate of prediction markets but will critically test whether they can be integrated as a regulated event-trading infrastructure or remain a high-risk gambling-adjacent activity within global sports.

marsbit05/15 05:11

World Cup Approaches, Prediction Markets Face a Major Test

marsbit05/15 05:11

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