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Federal prosecutors have charged a Google employee with fraud after alleging he used confidential internal company data to place highly profitable bets on Polymarket, earning approximately $1.2 million from trades tied to Google search trends.

The case is quickly becoming one of the most closely watched insider trading investigations involving the fast-growing prediction market industry, where users wager money on real-world events ranging from politics and sports to entertainment and internet trends.

According to prosecutors in the Southern District of New York, Michele Spagnuolo, a staff information security engineer at Google, accessed nonpublic company information related to Google’s annual “Year in Search” rankings and allegedly used that information to place winning bets before the results became public.

Federal authorities charged Spagnuolo with wire fraud, commodities fraud, and money laundering. He was arrested in New York and later released on a $2.25 million bond after appearing before a federal magistrate judge.

Prosecutors Say Confidential Google Data Was Used for Betting

Court filings allege that Spagnuolo had access to internal Google systems containing sensitive search trend information before the company publicly released its Year in Search rankings.

Investigators claim he used a Google account with elevated access privileges to review confidential data related to trending searches for 2025 and then placed trades on Polymarket using the online alias “AlphaRaccoon.”

The bets reportedly centered around contracts predicting which celebrities, TV shows, and public figures would become the most searched topics of the year.

One of the most profitable wagers involved a prediction that singer d4vd would become Google’s most searched person in 2025. Prosecutors say the prediction was made using insider knowledge before the official rankings were announced publicly.

The complaint also alleges that Spagnuolo successfully traded contracts involving topics such as whether Zohran Mamdani would rank among the most searched individuals and whether Squid Game would become the top searched television show.

After Google officially released its Year in Search results in December 2025, the AlphaRaccoon account allegedly secured profits of roughly $1.2 million.

Prediction Markets Face Growing Regulatory Scrutiny

The case highlights increasing regulatory attention surrounding prediction markets, which have exploded in popularity over the past two years.

Platforms like Polymarket allow users to buy and sell contracts tied to future outcomes, effectively creating markets around public events and probabilities. Supporters argue prediction markets improve forecasting accuracy, while critics warn they create new risks involving insider information, manipulation, and regulatory loopholes.

Federal prosecutors argue that using confidential corporate information to trade on prediction platforms can amount to insider trading, even if the contracts do not involve traditional stocks or securities.

The U.S. Commodity Futures Trading Commission, or CFTC, has also filed a parallel civil complaint against Spagnuolo, accusing him of unlawfully profiting from confidential information obtained through his position at Google.

According to regulators, the case demonstrates how insider information can increasingly be monetized through alternative financial platforms outside traditional stock markets.

Google and Polymarket Respond

Google confirmed that it is cooperating with law enforcement officials investigating the matter.

In a statement, the company said the employee had accessed internal marketing-related systems available to staff members, but emphasized that using confidential information for personal financial gain violates company policy.

Google also confirmed that Spagnuolo has been placed on leave pending further developments.

Polymarket also issued a statement highlighting its cooperation with federal investigators and regulators during the investigation.

The platform said it worked closely with the Southern District of New York and the CFTC, adding that the case marks one of the first insider trading prosecutions directly connected to a prediction market platform in the United States.

The company stressed its commitment to maintaining transparent and fair markets while improving monitoring systems for suspicious trading behavior.

Suspicious Trading Had Already Drawn Attention Online

Interestingly, some users and independent analysts monitoring Polymarket had already raised questions about the AlphaRaccoon account months before charges were filed.

Online observers reportedly noticed unusually accurate bets placed shortly before the release of Google’s Year in Search rankings, leading to speculation that someone may have had access to insider information.

The federal complaint now alleges that the AlphaRaccoon account belonged to Spagnuolo.

The incident reflects how prediction markets are increasingly attracting sophisticated traders capable of leveraging privileged information in ways regulators are still trying to address.

Another High-Profile Insider Betting Case

The Google-related case is not the first major insider trading investigation tied to Polymarket this year.

Just weeks earlier, authorities charged former U.S. Army Special Forces master sergeant Gannon Ken Van Dyke with allegedly using classified government information to place bets connected to a U.S. operation targeting Venezuelan President Nicolás Maduro.

Prosecutors said Van Dyke earned more than $400,000 from trades tied to confidential military information.

Together, the two cases are intensifying debates over whether prediction markets need stricter oversight as they continue evolving into multi-billion-dollar digital trading ecosystems.

Insider Trading Risks Expand Beyond Wall Street

Legal experts say the investigation could set an important precedent for how insider trading laws apply to emerging online betting and forecasting markets.

Traditionally, insider trading enforcement focused heavily on stocks, bonds, and financial securities. However, the rapid growth of prediction platforms has created entirely new areas where confidential information can potentially generate enormous profits.

As companies collect massive amounts of consumer data and online behavior insights, regulators may increasingly monitor whether employees misuse privileged information for speculative trading purposes beyond traditional markets.

The case also underscores the growing value of search trend data itself. In an era where internet behavior can influence financial markets, advertising revenue, political campaigns, entertainment industries, and consumer sentiment, access to real-time search analytics has become commercially powerful information.

For now, prosecutors appear determined to send a broader message: insider trading laws may extend far beyond Wall Street and into the rapidly expanding world of digital prediction markets.