Soldier Charged With Trading Classified Operation Details on Polymarket

Federal prosecutors say a U.S. Army Special Forces master sergeant used classified details about a covert mission to capture Nicolás Maduro in Venezuela to place a series of wagers on Polymarket, turning about $33,000 in bets into more than $400,000. The indictment says Gannon Ken Van Dyke, 38, placed roughly 13 bets in the week before the operation, then withdrew most of the alleged proceeds the same day the mission unfolded.

The Justice Department unsealed the case on April 23, charging Van Dyke with unlawful use of confidential government information for personal gain, theft of nonpublic government information, commodities fraud, wire fraud and making an unlawful monetary transaction. Prosecutors said the operation was called Operation Absolute Resolve and that Van Dyke participated in its planning and execution before using sensitive, nonpublic, classified information to profit on the market. The case was assigned to U.S. District Judge Margaret M. Garnett in the Southern District of New York, and Van Dyke was to be presented before U.S. Magistrate Judge Brian S. Meyers in the Eastern District of North Carolina.

The government said the case shows how prediction markets, even as they move closer to the financial mainstream, are still governed by the same laws that apply to other forms of market abuse. The Justice Department said prediction markets are a relatively new phenomenon, but national-security laws still apply, and added that they are not a haven for using misappropriated confidential or classified information for personal gain. The Commodity Futures Trading Commission separately brought a civil complaint accusing Van Dyke of using classified nonpublic information to make wagers tied to the Maduro-capture mission.

Polymarket, which has been working to present itself as a more disciplined venue, said it had published enhanced market integrity rules the previous month. The company said, “Last month, we published our enhanced market integrity rules to combat insider trading.” It also said, “When we identified a user trading on classified government information, we referred the matter to the DOJ & cooperated with their investigation.” That cooperation may help Polymarket’s legitimacy push, but it also underscores the central problem for prediction markets: their appeal rests on information edge, yet that same edge can slide into criminal misuse when the information is stolen, classified or otherwise nonpublic.

The timing was awkward for the industry. On the same day, Kalshi said it had suspended and fined three congressional candidates from Minnesota, Texas and Virginia for political insider-trading activity on their own campaigns. Together, the cases sharpen the question facing regulators and investors alike: whether prediction markets can build the surveillance, compliance and enforcement architecture of mainstream finance, or whether their structure will keep exposing them to the same gray-zone abuses that now shadow their rise.