Federal prosecutors in Manhattan have charged Michele Spagnuolo, a software engineer at Google for 12 years, with insider trading after allegedly turning confidential internal research data into $1.2 million in profits on prediction market platform Polymarket. The complaint alleges he risked more than $2.7 million in total bets, trading under the name AlphaRaccoon.
According to TechCrunch, this is the first insider trading case in the United States in which the cooperation of a prediction market platform resulted in charges. This detail is what makes the case more than just a prosecution. This speaks to an enforcement model in which blockchain marketplaces work hand-in-hand with federal investigators.
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AlphaRaccoon’s Professions
Spagnuolo’s bets were tied to Google’s 2025 Year in Search campaign, the annual marketing exercise in which Google releases the most searched terms of the year. According to the complaint filed by the Southern District of New York, Spagnuolo accessed confidential internal Google search data on the most searched celebrities to inform his positions.
According to a statement from the U.S. Attorney’s Office for the Southern District of New York, prosecutors allege that Spagnuolo violated his obligations to Google and used confidential business information to make more than $1.2 million in trading profits from Polymarket. The U.S. Attorney’s Office has emphasized that insider trading undermines market integrity.
Google Response and Access Question
Google placed Spagnuolo on leave and said he was cooperating with the investigation. Google notably confirmed that the engineer had accessed the marketing material via an internal tool accessible to all employees. This means that the confidential data set that drove a prediction market was, internally, not particularly restricted. According to Google, the flaw lies in the use of the data and not in its accessibility.
This distinction is important. A data set capable of generating seven-figure business profits behind general employee access is itself a structural fact about how big tech companies handle market-sensitive information.
A Model That Forms Around Prediction Markets
This case follows the Justice Department’s recent prosecution of a U.S. Army soldier who allegedly made $400,000 on Polymarket using inside knowledge of the U.S. military operation to capture Venezuelan President Nicolás Maduro. Two successive cases indicate the emergence of a law enforcement front: As prediction markets expand beyond elections and into corporate, geopolitical, and cultural outcomes, the universe of people with nonpublic information that moves contract prices expands accordingly.
The Blockchain Paradox
Polymarket’s statement to TechCrunch presents cooperation as a feature of its architecture. A Polymarket spokesperson told TechCrunch that the transparency and traceability of blockchain trading allows platforms to identify and track bad actors. The spokesperson added that Polymarket would be the first prediction platform whose cooperation resulted in insider trading charges in the United States.
The paradox is worth considering. Crypto-native platforms have historically marketed pseudonymity as a core feature. In practice, a chain case is a permanent asset in prosecutions. Every portfolio movement, every position size, every counterparty, kept indefinitely. A trader using a traditional brokerage leaves a record visible only to that brokerage and to regulators upon request. A trader on Polymarket leaves a record visible to anyone with a block explorer.
What the Case Signals
Prediction markets have spent the last two years arguing that they are legitimate price discovery instruments rather than gambling venues. Spagnuolo’s indictment effectively confirms this formulation, but with consequences that operators may not have fully priced. If Polymarket contracts are markets, those who trade them are subject to the same fiduciary duties as anyone who trades stocks or commodities. Information asymmetries that provide value to tech employees, government officials, and military personnel within a company can now be actionable when monetized on-chain.
For platforms that position themselves as financial infrastructure rather than entertainment, this is the price of legitimacy.
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