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Google Engineer Charged With Using Internal Search Data to Pocket $1.2M on Polymarket

A Google security engineer exploited access to nonpublic company data to win big on a blockchain prediction market. The U.S. government says it followed the money on-chain.

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Michele Spagnuolo, a 36-year-old Staff Information Security Engineer at Google, an Italian citizen and resident of Switzerland, was arrested in New York on May 27, 2026, and charged by the U.S. Department of Justice with commodities fraud, wire fraud, and money laundering.

The CFTC filed a parallel civil complaint in the Southern District of New York the same day. Prosecutors allege Spagnuolo used confidential Google data about the company's annual "Year in Search" rankings to place winning bets on Polymarket, a blockchain-based prediction market built on the Polygon network, through a scheme prosecutors say ran from at least October through December 2025, pocketing roughly $1.2 million in profit.

Spagnuolo did not enter a plea and was released on a $2.25 million bond.

According to the complaint, Spagnuolo accessed an internal Google marketing tool that all employees can use, but which contained real-time, nonpublic data on which topics and names were rising to the top of the annual search rankings. He then placed bets on Polymarket under the username "AlphaRaccoon" on contracts predicting who would finish first on that list. The key advantage was simple: he already knew the answer. Federal prosecutors put it plainly in their complaint: "Unlike the counterparties to his trades, Spagnuolo knew the outcome of these wagers before the trading public did because he had accessed Google's confidential, commercially valuable internal data."

Google placed Spagnuolo on administrative leave following the charges. Spokesperson Jaclyn Vazquez acknowledged the data he used was accessible through a standard employee tool but drew a firm line: "Using such confidential information to place bets is a serious breach of our policies."


The Scale of the Scheme

Spagnuolo transferred $3.8 million in USDC (a dollar-pegged stablecoin) into his Polymarket wallet and spread $2.7 million across 25 separate outcome bets. Among the wagers described in the complaint: nearly $1 million against Bianca Censori finishing first in the search rankings, more than $600,000 against Pope Leo XIV placing at the top, and a notable bet on rapper D4vd that other traders on the platform had assigned near-zero odds of winning.

He then attempted to obscure the money trail. Winnings were routed through a cryptocurrency swapping service and a privacy tool designed to make on-chain transactions harder to trace. The funds ultimately landed in an Italian payment processor account that Spagnuolo had opened using his government-issued ID. That off-chain link, combined with on-chain forensics, led investigators directly to him. He also deleted the AlphaRaccoon username from his account before his arrest.

Community forums accelerated his detection. Discord users had been highlighting AlphaRaccoon's trades as evidence of someone with genuine "alpha," meaning informational edge, which drew further attention to the account's unusual winning pattern.


The Second Federal Case in Weeks

This is the second federal insider trading prosecution tied to Polymarket in just over a month. In April 2026, U.S. Army Special Forces Master Sergeant Gannon Ken Van Dyke was charged with using classified military information about the U.S. capture of Venezuelan President Nicolás Maduro to bet on related Polymarket contracts, investing roughly $34,000 and netting more than $400,000 in profit. The classified information Van Dyke allegedly exploited related to Operation Absolute Resolve, the military operation that resulted in Maduro's capture on January 3, 2026. Van Dyke faces charges including commodities fraud, wire fraud, and money laundering, as well as unlawful use of confidential government information and theft of nonpublic government information. Those additional charges reflect distinct legal theories applied to public-sector insider trading, theories that differ meaningfully from those used in the Spagnuolo case.

Polymarket's Chief Legal Officer, Olivia Chalos, noted that the platform is "the only prediction platform to date whose cooperation has led to insider trading charges in the United States."


What This Means Outside the U.S.

Polymarket is accessible in more than 160 countries, and the implications of this case extend well beyond American borders.

For tech workers in South Asia, including the substantial population of Indian engineers employed at multinational firms, the case raises a direct compliance question. Accessing proprietary employer data in the ordinary course of work and then trading on that data through a decentralised platform may expose individuals to liability under employment contracts, India's Companies Act, the Information Technology Act, and employer NDAs, regardless of whether domestic prediction market rules exist. India also imposes a 30% tax on cryptocurrency gains, with tax deducted at source provisions applying to certain transactions, though these rules have not been extended to prediction markets specifically. India's financial regulators, including SEBI and the Ministry of Finance, have not yet addressed prediction markets directly, but this case gives them reason to.

For Web3 participants in jurisdictions such as South Africa and Nigeria, where on-chain activity is sometimes presumed to offer anonymity, the Spagnuolo case delivers a pointed lesson. South Africa's Financial Sector Conduct Authority is actively developing crypto regulations, while Nigeria currently has no crypto-specific insider trading laws and many users access decentralised finance platforms through VPNs. In both contexts, the Spagnuolo case is instructive: on-chain obfuscation tools did not protect him. The combination of blockchain forensics and a single off-chain account tied to a real identity was enough to close the gap. Polymarket's cooperation with U.S. federal authorities demonstrates that globally accessible decentralised platforms have shown willingness to comply with law enforcement requests, and users elsewhere should not assume otherwise.


The Regulatory Backdrop

Polymarket's involvement in two federal prosecutions carries additional weight given the platform's recent regulatory history. Following a 2022 CFTC enforcement action, Polymarket was blocked from the U.S. market for roughly four years. The platform re-entered in late 2025 and early 2026 after receiving an Amended Order of Designation, placing it back under active CFTC jurisdiction. That history explains both why the CFTC has standing in the current cases and why the platform's cooperation with federal investigators is particularly significant.

The charges arrive as the White House reviews a CFTC rulemaking proposal that would bring prediction markets under comprehensive federal oversight for the first time. A public consultation on the proposal drew more than 3,000 responses. CFTC Chair Michael Selig has taken the position that prediction markets fall under exclusive federal jurisdiction, and the agency has sued five states that attempted to regulate them independently: Wisconsin, Illinois, Arizona, Connecticut, and New York. President Trump has publicly backed federal jurisdiction over the sector. Congressional Democrats have separately urged the CFTC to tighten oversight of prediction markets, citing insider trading and sports-betting concerns, in correspondence dated April 30, 2026, reflecting broader political pressure on the agency to act.

For now, the Spagnuolo case is the clearest signal yet that prediction markets, decentralised or not, are being treated as regulated financial infrastructure. Anyone with access to material nonpublic information, whether at a tech giant or a regional fintech, is on notice.