Google Engineer Charged with $1.2M Insider Trading on Polymarket

Federal prosecutors have charged a Google information security engineer with fraud, alleging he used confidential company data to make $1.2 million through insider trading on the prediction platform Polymarket. The case, unsealed Wednesday in the Southern District of New York, represents one of the most significant insider trading cases involving a prediction market to date.

Michele Spagnuolo, a staff information security engineer at Google, was arrested Wednesday morning and faces charges of money laundering, commodities fraud, and wire fraud. According to the complaint, Spagnuolo used access to Google's internal systems to obtain confidential "Year in Search" data before it was publicly announced.

The complaint details how Spagnuolo, operating under the Polymarket username "AlphaRaccoon," correctly predicted that singer d4vd would be Google's most searched person in 2025. After Google officially announced its Year in Search results on December 4, 2025, Spagnuolo's account profited approximately $1.2 million from these bets.

This case highlights the growing intersection of traditional tech companies and decentralized prediction markets. Polymarket, a blockchain-based prediction platform that allows users to bet on the outcomes of real-world events, has increasingly attracted attention from both traders and regulators.

"Spagnuolo had access to Google's internal data systems, including a particular Google internal software tool that provided him access to confidential, nonpublic Year in Search data," prosecutors stated in their complaint.

The case is particularly noteworthy as it marks the second high-profile insider trading case on Polymarket in just over a month. In April, then-active U.S. Army Special Forces master sergeant Gannon Ken Van Dyke was arrested over charges that he used classified information to bet on contracts related to the U.S. operation to capture Venezuela President Nicolás Maduro, making more than $400,000 from his trades.

Google has responded to the allegations by placing Spagnuolo on leave and stating they are cooperating with law enforcement. "The employee accessed our marketing material using a tool available to all employees, but using such confidential information to place bets is a serious breach of our policies," the company said in a statement.

Polymarket has positioned itself as a pioneer in the prediction market space, and this case may set important precedents for how such platforms handle insider trading. "Polymarket worked closely with the U.S. Attorney's Office for the Southern District of New York and the CFTC, and is the only prediction platform to date whose cooperation has led to insider trading charges in the United States," a Polymarket spokesperson stated.

The case also raises questions about the ethical boundaries of using proprietary information in prediction markets. Spagnuolo allegedly correctly predicted several other search-related outcomes, including whether Zohran Mamdani would rank in the top 5 most searched individuals and whether Squid Game would be the number one searched TV show.

The Commodity Futures Trading Commission has also filed a civil case against Spagnuolo, charging him with insider trading. In their complaint, the CFTC alleged that "Spagnuolo misappropriated the material Confidential Information by knowingly or recklessly using it to trade the 2025 Year in Search List Contracts in breach of his duties of trust and confidentiality."

As prediction markets continue to grow in popularity and financial significance, cases like this highlight the challenges these platforms face in ensuring fair markets while maintaining their decentralized ethos. The outcome of Spagnuolo's case could have significant implications for how prediction platforms monitor and prevent insider trading in the future.

Spagnuolo appeared before a federal magistrate judge on Wednesday, did not enter a plea, and was released on a $2.25 million bond. The case is expected to draw further attention to the intersection of traditional corporate information security and the emerging world of blockchain-based prediction markets.

This incident also underscores the increasing scrutiny that both traditional tech companies and emerging crypto platforms face from regulators. As these two worlds continue to intersect, we can expect to see more cases that test the boundaries of information sharing and financial regulations in the digital age.