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Google Engineer Accused of Turning Secret Search Data Into a $1.2M Polymarket Profit

Google Engineer Accused of Turning Secret Search Data Into a $1.2M Polymarket Profit WikiBit 2026-05-29 13:02

AlphaRaccoon's username was removed from the Polymarket account after users on Discord and X speculated that the trader may have been a Google

AlphaRaccoons username was removed from the Polymarket account after users on Discord and X speculated that the trader may have been a Google insider.

US prosecutors have charged Google software engineer Michele Spagnuolo, also known online as ‘AlphaRaccoon,’ with allegedly using confidential internal Google search data to profit roughly $1.2 million through bets placed on prediction market platform Polymarket.

According to a criminal complaint unsealed in the Southern District of New York, Spagnuolo allegedly accessed nonpublic ‘Year in Search 2025’ data from Googles internal systems and used that information to trade on Google-related markets on Polymarket before the results became public.

Polymarket Insider Trading Case

Prosecutors charged him with commodities fraud, wire fraud, and money laundering, while the Commodity Futures Trading Commission (CFTC) filed a parallel civil complaint accusing him of insider trading violations under the Commodity Exchange Act. The filing states that Google keeps its “Year in Search” rankings strictly confidential because the annual campaign is commercially valuable and designed around a coordinated public reveal intended to generate media attention, user engagement, and advertising demand.

Investigators said Spagnuolo had access to a Google internal software tool containing confidential trend data and that the tool itself displayed a “Google Confidential” warning banner. Authorities allege that between October and December 2025, Spagnuolo used the AlphaRaccoon Polymarket account to place bets on at least 23 Google-related prediction markets, including contracts tied to the “#1 Searched Person on Google this year” and “Top 5 Most Searched People on Google 2025.”

The complaint says that after reviewing Googles internal data on October 15, 2025, Spagnuolo placed trades the following day, backing Kendrick Lamar to become the top searched person of the year while simultaneously betting against Pope Leo XIV achieving the same result. Prosecutors said he continued placing trades over the following weeks using knowledge unavailable to the public.

On November 27, 2025, investigators allege that Spagnuolo again accessed confidential Google search rankings and learned that musician d4vd had overtaken Kendrick Lamar as the top trending person for the year. Roughly three hours later, the AlphaRaccoon account allegedly placed bets favoring d4vd despite the market assigning almost no probability to that outcome at the time.

The filing states that the account risked roughly $2.75 million across Google Year in Search-related markets between October 15 and December 4, 2025. After Google publicly released its Year in Search results on December 4, prosecutors said the AlphaRaccoon account generated approximately $1.2 million in profits.

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Investigators further allege that Spagnuolo attempted to conceal the origin of the proceeds by moving crypto through multiple wallets, decentralized swapping services, and a privacy-focused transfer service.

Kalshis Crackdown on Insider Trading Cases

The allegations against Spagnuolo come as prediction markets face increasing scrutiny over insider-style trading activity. In April, rival platform Kalshi banned three US political candidates after discovering they had placed bets tied to their own election races. Those included Minnesota State Senator Matt Klein, Texas congressional candidate Ezekiel Enriquez, and Virginia Senate candidate Mark Moran.

Kalshi said the trades violated exchange rules that prohibit people with direct influence over an event from trading related contracts. The platform issued fines and five-year bans.

Disclaimer:

The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

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