Insider Trading in War: 5 People Involved, the Highest Earner Was Arrested

marsbitОпубліковано о 2026-04-24Востаннє оновлено о 2026-04-24

Анотація

On April 24, the U.S. Department of Justice arrested U.S. Army Special Forces Staff Sergeant Gannon Ken Van Dyke for insider trading related to the capture of Venezuelan President Nicolás Maduro on January 3. Van Dyke allegedly profited over $400,000 by placing bets on a prediction market, Polymarket, using insider knowledge of the covert operation. According to the indictment, Van Dyke registered an account (0x31a5) on December 26 and made a series of bets predicting Maduro’s capture and U.S. military involvement in Venezuela. He withdrew most of his funds on the day of the operation and attempted to obscure his tracks by transferring assets through crypto and brokerage accounts. This case marks the first time the DOJ has prosecuted insider trading on Polymarket. PolyBeats had previously identified five suspicious accounts, including Van Dyke’s—the highest earner—in January. The other accounts, with profits ranging from $34,000 to $145,000, remain under unofficial scrutiny but have not been charged. Their lower profits, indirect access to information, and unclear legal boundaries may complicate prosecution. Polymarket has since strengthened its market integrity rules, explicitly prohibiting trading based on confidential or insider information. Van Dyke’s arrest, nearly four months after his trades, signals increased regulatory attention and the persistent traceability of blockchain-based transactions.

On April 24, Eastern Time, the U.S. Department of Justice announced the arrest of active-duty Army Special Forces Staff Sergeant Gannon Ken Van Dyke.

The indictment released by the Department of Justice on the same day revealed that Van Dyke participated in the operation to capture Venezuelan President Nicolás Maduro from the Presidential Palace in Caracas on January 3 of this year.

According to reports, Van Dyke bet on Maduro's capture through a prediction market on the eve of the operation, earning over $400,000. Although the report did not disclose specific account information, by comparing the betting direction and profit amount mentioned, we identified account 0x31a5.

This is one of the five insider accounts点名ed by PolyBeats in two consecutive reports on January 4 and January 7.

Van Dyke Account Review

Let's rewind to January 4 of this year.

After the Maduro capture incident, PolyBeats immediately analyzed on-chain data,锁定ed five accounts, and completed public reporting within 24 hours after the operation ended. For details, see 《They Missed $2 Million Because Maduro Wasn't Supposed to Spend New Year at Home》

Among them, Van Dyke's account was the highest earner of the five. The account was registered on December 26, 2025, and subsequently placed a series of bets highly related to the capture operation, such as "Maduro's ouster" and "U.S. troops entering Venezuela," The total principal was approximately $30,000, with total profits exceeding $400,000.

On the day of the operation, the account withdrew most of its funds, transferred them to an overseas cryptocurrency account, and then deposited them into a newly opened brokerage account.

On January 6, three days after the operation ended, media began reporting abnormal trades related to this operation on Polymarket. On the same day, the account requested deletion from Polymarket, citing "inability to access the registered email." Simultaneously, he changed the registered email of the cryptocurrency exchange to an anonymous email secretly created as early as December 14.

New account, precise positioning, withdrawal on the day of the incident, post-event痕迹 destruction—this set of operational procedures was the异常特征 we重点标记ed in the January review.

Today, the Department of Justice gave this address a name: Gannon Ken Van Dyke.

More Than One Person in the Story

Van Dyke's arrest is the first case of insider trading on Polymarket formally prosecuted by the DOJ. But this story never involved just him.

In the two January reports, PolyBeats标注ed a total of five accounts. Apart from Van Dyke, there has been no official investigation information regarding the other four:

0xa72db1749e9ac2379d49a3c12708325ed17febd4, profit $74,982;

0x6baf05d193692bb208d616709e27442c910a94c5, profit $145,619;

0x168b100d7a6620a2f49a455344c2c006eaf1714b, profit approx. $34,000;

0x168b100d7a6620a2f49a455344c2c006eaf1714b, profit approx. $54,000.

Why haven't these four accounts been arrested yet?

The most direct reason is the amount. Van Dyke's profit was nearly $410,000, the highest among the four accounts, making his执法优先级 most clear.

A more critical reason is identity. Van Dyke is an active-duty soldier, signed a confidentiality agreement, and was directly involved in action planning, making the identity verification path extremely short. The true identities and information sources of the other four accounts are still unclear. If they obtained second-hand information, the legal boundaries would be much模糊er, significantly increasing the difficulty of prosecution.

Another layer is Polymarket's own reporting boundaries. The platform claims they proactively discovered and reported Van Dyke to law enforcement, but the other four同样存在异常的 accounts were显然 not reported together. The platform has no explanation for this.

However, one thing is changing this situation.

In March of this year, Polymarket released an enhanced market integrity rule, explicitly prohibiting three types of behavior: trading based on legally required confidential information, trading based on others' insider information, and participation in related markets by individuals with the power to influence event outcomes. As the rule was implemented, this indictment from the DOJ also sends the same signal to everyone: the platform is willing to cooperate with investigations, records on the blockchain will not disappear, and investigations themselves can last for months.

There was nearly a four-month gap between Van Dyke's positioning and his arrest. For the other four accounts, and for all those with information asymmetry attempting insider trading in prediction markets, this arrest may be just the beginning.

Пов'язані питання

QWho was arrested by the U.S. Department of Justice on April 24th in connection with the Venezuelan presidential capture operation?

AGannon Ken Van Dyke, an active-duty U.S. Army Special Forces staff sergeant.

QHow much profit did Van Dyke allegedly make by betting on the capture of Venezuelan President Nicolás Maduro on the prediction market?

AOver $400,000.

QWhich platform was used for the insider trading bets related to the military operation, as identified by PolyBeats?

APolymarket.

QHow many insider trading accounts did PolyBeats originally identify in their January investigation?

AFive accounts.

QWhat was one of the key reasons Van Dyke was prioritized for arrest compared to the other four accounts?

AHe was an active-duty soldier who signed confidentiality agreements and was directly involved in the operation, making his identity and information trail easier to verify.

Пов'язані матеріали

What Are Some Good Paths for Chinese Web3 Entrepreneurship? (Part 5)

This article explores pathways for Chinese Web3 teams to pivot toward AI, building on a previous discussion. It focuses on two specific team profiles: **Security & Risk Control Teams:** These teams, skilled in smart contract auditing, wallet security, and on-chain monitoring, can transition to providing **Agent behavior auditing and AI security governance**. As AI Agents automate tasks, access data, and trigger payments, enterprises will need solutions to monitor permissions, audit logs, control data access, and prevent anomalies—creating a strong B2B demand. **Application & Community-Focused Teams:** Instead of completely rebranding as AI companies, these teams should use AI to **enhance their existing products**. For example, research platforms can use AI to summarize information and identify signals; community tools can automate user support and analysis; and educational products can create personalized learning paths. The key is integrating AI to solve existing user pain points, like information overload or high operational costs. The article also advises against certain AI directions for Chinese Web3 teams, such as building general-purpose large language models (too resource-intensive), creating overly broad Agent platforms (hard to monetize), developing AI traders/automated yield products (high regulatory and risk sensitivity), or simply adding superficial AI features without genuine value. The core conclusion: Successful migration depends not on chasing AI hype, but on **identifying how a team's existing Web3 capabilities—be it in data, payments, security, or user operations—can address real needs in new AI application scenarios.**

marsbit3 год тому

What Are Some Good Paths for Chinese Web3 Entrepreneurship? (Part 5)

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