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CFTC Charges Google Engineer with Insider Trading with ‘AlphaRaccoon’ Polymarket Scam

Michele Spagnuolo faces federal charges after allegedly turning Google's 2025 "Year in Search" data into $1.2 million in prediction market profits.

CFTC Charges Google Engineer with Insider Trading with ‘AlphaRaccoon’ Polymarket Scam

Federal regulators charge a Google software engineer with insider trading today for allegedly weaponizing nonpublic search data to reap $1.2 million in profits on the Polymarket prediction platform. The enforcement action marks one of the first major attempts by the government to police information symmetry within the rapidly expanding decentralized event-contract sector.

Key Takeaways
  • The CFTC charges Google engineer Michele Spagnuolo for insider trading on the decentralized prediction platform Polymarket.
  • Spagnuolo allegedly generated $1.2 million in illicit profits by betting on 23 contracts using nonpublic Google 2025 search rankings.
  • The SDNY criminal indictment establishes a precedent that traditional insider trading laws apply to on-chain event contracts and cultural bets.
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The Commodity Futures Trading Commission (CFTC) filed a civil complaint in the U.S. District Court for the Southern District of New York against Michele Spagnuolo, a Swiss resident and engineer at the technology giant. Investigators alleged that Spagnuolo exploited his access to Google’s official “Year in Search” list for 2025 before the company released the data to the public. The complaint detailed a scheme where the defendant utilized sensitive corporate intelligence to manipulate outcomes on Polymarket.com, a decentralized platform where users bet on the results of cultural and political events.

Trading activity occurred between October and December 2025. Spagnuolo reportedly purchased “Yes” or “No” shares on at least 23 separate contracts linked to Google’s year-end rankings. These categories included high-traffic bets such as the “#1 Searched Person on Google” and the “Top 5 Most Searched People on Google 2025.” Operating under the Polymarket handle “AlphaRaccoon,” the defendant achieved near-perfect accuracy across his positions. The resulting trades generated approximately $1.2 million in illicit gains as the search rankings were finalized and made public.

CFTC Chairman Michael S. Selig emphasized that the medium of the trade did not shield participants from federal law. “As I have said repeatedly, the Commission will not tolerate fraud, manipulation, or insider trading, regardless of the technology or platform that is used,” Selig stated following the filing. He noted that the action underscored a commitment to rooting out misconduct and promoting “market integrity in prediction markets.”

The Division of Enforcement characterized the behavior as a fundamental breach of trust. Director of Enforcement David I. Miller stated that employees entrusted with confidential business information cannot misappropriate that data for personal financial gain. Miller identified the division as a “cop on the beat” responsible for policing the illegal use of inside information across all markets within the CFTC’s jurisdiction.

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The U.S. Attorney’s Office for the Southern District of New York unsealed a parallel criminal complaint against Spagnuolo on Wednesday. Federal prosecutors alleged similar conduct, focusing on the fraudulent misappropriation of proprietary information. The CFTC acknowledged the assistance of the U.S. Attorney’s Office in the investigation, which utilized blockchain forensics to link the “AlphaRaccoon” account to the defendant’s identity and physical location.

The prosecution arrived as Polymarket and its peers gained mainstream traction for forecasting global trends. Regulators intensified their scrutiny of event contracts, which allowed participants to hedge against or profit from real-world developments. Historically, these platforms operated in a perceived regulatory gray area, but the Spagnuolo case established a precedent that traditional insider trading rules apply to on-chain cultural bets. The intersection of Big Tech proprietary data and decentralized finance (DeFi) liquidity pools created a new frontier for compliance officers and federal investigators.

Chain Street’s Take

The CFTC’s pursuit of Spagnuolo confirms that prediction markets are no longer a regulatory “wild west” where corporate secrets can be traded with impunity. By treating search-engine data as a protected asset class, the agency is forcing a collision between Big Tech’s internal silos and the transparency of the blockchain. The “AlphaRaccoon” case proves that on-chain anonymity offers little protection when a trader’s accuracy is statistically impossible without inside access. For Polymarket users, the message is clear: if you are trading on information that isn’t public, the CFTC will treat you exactly like a Wall Street hedge fund manager.

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FAQ

Frequently Asked Questions

01

What is the "AlphaRaccoon" Polymarket scam?

The "AlphaRaccoon" scam involves Google engineer Michele Spagnuolo allegedly weaponizing nonpublic corporate data to manipulate decentralized prediction results. Spagnuolo utilized his access to the 2025 "Year in Search" list to generate $1.2 million in profits. This handle achieved near-perfect accuracy across 23 separate event contracts before the official Google data release.
02

Why does this matter for prediction markets?

Federal intervention by the CFTC proves that on-chain anonymity does not protect users from traditional insider trading statutes. Chairman Michael Selig stated that the commission will not tolerate manipulation regardless of the technology or platform used. This case signals a transition from a regulatory gray area to active federal policing of information symmetry.
03

How did Michele Spagnuolo execute the insider trades?

The defendant purchased "Yes" or "No" shares on Polymarket contracts linked to Google’s confidential year-end search rankings between October and December 2025. Spagnuolo allegedly bet on high-traffic categories like the "Top 5 Most Searched People" using proprietary company intelligence. SDNY prosecutors utilized blockchain forensics to link the AlphaRaccoon account directly to his physical identity.
04

What are the risks of using corporate data on Polymarket?

Employees who misappropriate confidential business information for personal gain face both civil suits from the CFTC and criminal charges from the DOJ. Director of Enforcement David Miller identified the agency as a permanent "cop on the beat" for prediction market integrity. These legal actions expose decentralized participants to severe prison sentences and total asset forfeiture.
05

How will the CFTC regulate on-chain event contracts?

The CFTC is treating proprietary digital data as a protected asset class to ensure market integrity across all prediction platforms. Future enforcement will likely target the intersection of Big Tech internal silos and decentralized finance liquidity pools. This strategy forces individual traders to adhere to the same compliance standards as Wall Street hedge fund managers.

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Alex Reeve

Alex Reeve is a contributing writer for ChainStreet.io. Her articles provide timely insights and analysis across these interconnected industries, including regulatory updates, market trends, token economics, institutional developments, platform innovations, stablecoins, meme coins, policy shifts, and the latest advancements in AI, applications, tools, models, and their broader implications for technology and markets.

The views and opinions expressed by Alex in this article are her own and do not necessarily reflect the official position of ChainStreet.io, its management, editors, or affiliates. This content is provided for informational and educational purposes only and does not constitute financial, investment, legal, or tax advice. Readers should conduct their own research and consult qualified professionals before making any decisions related to digital assets, cryptocurrencies, or financial matters. ChainStreet.io and its contributors are not responsible for any losses incurred from reliance on this information.