Confidential special operations intelligence used for Polymarket betting… Active U.S. military personnel arrested for "insider trading"

A serving U.S. special forces military member was arrested on suspicion of using insider information to obtain massive profits on the prediction market platform Polymarket. As “insider trading” related to confidential military operations has become real, debates over prediction market regulation have flared up again.

Military personnel involved in a classified operation allegedly profited $400,000 by betting on Polymarket

According to the U.S. federal investigation authorities, after U.S. Army First Sergeant Gannon Ken Van Dyke opened a Polymarket account last December, he put in about $32,000 (about 47.28 million Korean won) to place bets that Venezuelan President Nicolás Maduro would be ousted before January.

Investigators believe Van Dyke had been involved in a planning team for Maduro’s arrest operation. The investigation shows that he earned a net profit of $409,000 (about 604.37 million Korean won) from the bet. Authorities found that most of these funds had been transferred to overseas cryptocurrency storage wallets, and they are currently tracing them.

Signs of account deletion and hiding emails found

After the controversial “Absolute Resolution Operation,” media outlets reported one after another that abnormal trading flows appeared in contracts related to Maduro on Polymarket. After that, Van Dyke tried to delete the Polymarket account he used and claimed that he had lost the email associated with that account.

The U.S. federal investigation authorities believe that, in a way unrelated to his real name, he also re-registered an email address linked to a cryptocurrency exchange in an attempt to cover his tracks. This is viewed as an attempt at post-facto concealment beyond simple investment.

Polymarket: “After confirming trading based on confidential information, we notified the Department of Justice”

On the same day, Polymarket said via the X platform: “After confirming a user’s trading based on confidential government information, we have referred the case to the U.S. Department of Justice and are cooperating with the investigation.” It then emphasized: “Insider trading has no place on Polymarket; this arrest shows that the system is operating.”

Van Dyke faces three counts of violating the Commodity Exchange Act, one count of telecommunications fraud, and one count of illegal funds trading. U.S. prosecutors view this case as an example showing that prediction markets are not just “public opinion measurement tools,” and that when confidential information is involved, unfair trading issues similar to those in traditional financial markets may arise.

U.S. Department of Justice: “Prediction markets are not an exception to insider trading”

A U.S. federal prosecutor, Jay Clayton, said: “Prediction markets are not a place to profit from stolen or misused secret information or confidential information,” and “The defendant appears to have used confidential information regarding sensitive military operations to bet on the timing and outcomes of the operation, betraying the government’s trust.” He defined it as “blatant insider trading.”

FBI Director Kash Patel also stressed: “This indictment clearly shows that no one is above the law,” and expressed his determination to protect national secrets.

When asked by President Trump about Van Dyke’s bets and the possibility of insider trading related to conflicts involving Iran, he said the world has “become a bit like a casino.”

Prediction market regulation controversies spread again

This case has prompted renewed questions about whether overall monitoring systems for prediction market platforms such as Polymarket and Kalshi are sufficient. Recently, the U.S. Congress and regulators have regarded the risk that insiders could directly place bets on highly information-asymmetric areas such as elections, wars, and policy decisions as a key concern.

In fact, Polymarket and Kalshi have recently introduced “guardrail” measures aimed at preventing insider trading, and three U.S. congressional candidates have already been fined for bets related to their election campaigns.

Prediction markets had previously drawn attention as information tools that reflect collective intelligence, but this case shows that the fairness of the market may be seriously shaken depending on “who can access what information.” In particular, because platforms based on cryptocurrencies can move funds quickly and transfer them easily across borders, calls for stronger regulation may grow even more intense in the future.

TP AI Notice: This article was summarized using a language model based on TokenPost.ai. The main content may have been omitted or may not be consistent with the facts.