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Regulation Score 48 Neutral

US Special Forces Soldier Charged in Prediction Market Insider Trading Scheme

Apr 24, 2026 20:52 UTC
Short term

A Master Sergeant faces federal charges for allegedly using classified military intelligence to profit from bets on the capture of Nicolás Maduro. The case highlights growing regulatory scrutiny over prediction markets and the use of non-public information.

  • Defendant allegedly wagered $33,000 to win $410,000
  • Charges include wire fraud and Commodity Exchange Act violations
  • Raid occurred on January 3 in Caracas, Venezuela
  • Kalshi blocked the defendant from opening an account
  • New legislation proposed to bar senators from prediction markets

Master Sgt. Gannon Ken Van Dyke has been released on a $250,000 unsecured bond following federal charges related to an insider trading scheme involving prediction markets. Van Dyke is accused of leveraging classified information regarding a U.S. military operation to secure substantial profits on the platform Polymarket. The indictment alleges that Van Dyke, who was involved in planning the January 3 raid in Caracas that captured Venezuelan leader Nicolás Maduro and his wife, placed a series of wagers in the week leading up to the operation. By betting on whether U.S. forces would enter Venezuela and if Maduro would be removed from office, Van Dyke reportedly turned approximately $33,000 into nearly $410,000. Beyond the criminal wire fraud charges brought by the U.S. Attorney's Office for the Southern District of New York, the Commodity Futures Trading Commission (CFTC) has filed a civil complaint. The CFTC alleges three counts of violating the Commodity Exchange Act, signaling a crackdown on the exploitation of event contracts by those with privileged access to information. The incident has accelerated legislative efforts to regulate prediction markets. Senator Bernie Moreno recently introduced a bill to prohibit U.S. senators from trading on such platforms, while competitor Kalshi has begun suspending political candidates for trading on their own campaigns. This case underscores the systemic risk of insider knowledge in the rapidly growing prediction market sector.

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