A Google Engineer Used Internal Search Data to Win $1.2 Million on Polymarket — Then the Feds Came Knocking

A Google engineer Polymarket scandal has exposed one of the most audacious insider trading schemes in tech history. Michele Spagnuolo, a 36-year-old security engineer at Google based in Switzerland, was arrested on May 27, 2026, and charged with using confidential internal search data to win $1.2 million on Polymarket prediction markets. If convicted, he faces up to 50 years in federal prison.

The case is remarkable not just for its brazenness but for what it reveals about the kind of data Google employees can access — and how easily that access can be weaponized for personal profit.

The Google Engineer Polymarket Scheme

According to the Department of Justice complaint filed in the Southern District of New York, Spagnuolo exploited his position at Google to access “material nonpublic information” about what users were searching for. Specifically, he used internal Google data that tracked real-time search trends to place bets on Polymarket about which public figures would appear on Google’s annual “Year in Search” report for 2025.

Polymarket, the blockchain-based prediction market platform, began offering markets last fall where users could bet on which individuals would top Google’s most-searched lists. The markets attracted significant trading volume because Google’s Year in Search data is widely followed and the outcomes are verifiable. What Polymarket didn’t anticipate was that a Google employee would use internal access to essentially know the answers before they were published.

The Google engineer Polymarket scheme centered on a simple exploit: while the public had to guess who the most-searched people of 2025 would be, Spagnuolo could check the actual data in real time. He allegedly placed bets with near-certainty about outcomes that other traders were only estimating.

How the Inside Trading Worked

Spagnuolo worked as a security engineer at Google, a role that granted him access to internal tools and data systems. According to prosecutors, he accessed internal dashboards that tracked search volume and trends — data that Google compiles internally but doesn’t share publicly until the annual Year in Search report.

Using this data, Spagnuolo identified which public figures were generating the most search volume throughout 2025. He then placed bets on Polymarket predicting that these specific individuals would appear on Google’s official top-searched lists. Because he had access to the underlying data, his predictions were consistently correct.

The scheme ran from roughly September 2025 through December 2025, coinciding with the period when Polymarket offered Google search-related prediction markets. Prosecutors allege that Spagnuolo bet $2.7 million across 25 separate outcomes, netting $1.2 million in profit — a return rate that would be virtually impossible without inside information.

The AlphaRacoon Account

Spagnuolo operated on Polymarket under the pseudonym “AlphaRacoon.” The account’s trading pattern was what initially drew attention: consistent winning bets on Google search outcomes with a hit rate that statistical analysis showed was extraordinarily unlikely to occur by chance.

Blockchain forensics played a key role in the investigation. Because Polymarket operates on the Polygon blockchain, all transactions are permanently recorded. Investigators were able to trace AlphaRacoon’s wallet addresses, funding sources, and withdrawal patterns. The blockchain’s transparency — ironically a feature designed to prevent fraud — provided the evidence chain that led investigators from an anonymous trading account back to a specific Google employee in Switzerland.

The case represents one of the first major criminal prosecutions involving insider trading on blockchain-based prediction markets. While insider trading laws have long applied to stocks and commodities, their application to prediction markets — and specifically to prediction markets about search engine data — is relatively novel legal territory.

The Charges and Potential Consequences

Spagnuolo faces multiple federal charges: commodities fraud, wire fraud, money laundering, and other counts. The maximum potential sentence is 50 years in prison, though actual sentences in white-collar cases typically fall well below statutory maximums.

The Commodity Futures Trading Commission (CFTC) has also filed a civil case seeking monetary disgorgement, restitution, and additional penalties. Between the criminal and civil cases, Spagnuolo faces the prospect of losing not just his freedom but all profits from the scheme, plus substantial additional penalties.

The international dimension adds complexity. Spagnuolo is an Italian citizen residing in Switzerland, and his arrest involved coordination between U.S. and international law enforcement. The extraterritorial reach of U.S. securities and commodities laws is well established, but the case tests those boundaries in the context of prediction markets and cryptocurrency.

What This Reveals About Google’s Data Access

The Google engineer Polymarket case raises uncomfortable questions about data access controls at one of the world’s most powerful technology companies. If a security engineer can access real-time search trend data — data that, as this case demonstrates, has significant commercial value — how many other employees have similar access? And what other types of commercially sensitive data could be misused?

Google processes over 8.5 billion searches per day. The aggregate data about what people are searching for is extraordinarily valuable — to advertisers, to financial traders, to political campaigns, and to anyone trying to understand public sentiment in real time. The fact that an employee could access this data and use it for personal trading suggests that Google’s internal access controls may not be as robust as the company’s public position on data privacy would suggest.

This isn’t the first time insider access has been exploited at a major tech company. But the combination of search data, prediction markets, and cryptocurrency creates a particularly modern form of insider trading that regulators are only beginning to understand.

Polymarket’s Growing Legal Headaches

The case also creates problems for Polymarket, which has been navigating an increasingly complex regulatory landscape. The platform has grown rapidly, attracting billions of dollars in trading volume across political, sports, and technology prediction markets. But growth has brought scrutiny.

Polymarket has previously faced enforcement action from the CFTC, which fined the company $1.4 million in 2022 for operating without proper registration. The Spagnuolo case adds a new dimension: even if Polymarket itself isn’t accused of wrongdoing, the fact that its markets can be manipulated by corporate insiders raises questions about market integrity that regulators will want addressed.

The broader prediction market industry faces similar challenges. As these platforms grow and offer markets on an ever-wider range of outcomes, the potential for insider trading grows correspondingly. Any market where outcomes are determined by data that certain individuals have privileged access to — tech company metrics, sports statistics, corporate decisions — is vulnerable to the kind of exploitation Spagnuolo allegedly engaged in.

The Prediction Market Insider Problem

The Google engineer Polymarket scandal highlights a fundamental challenge for prediction markets: they work best when all participants have equal access to information, but many of the most interesting prediction markets involve outcomes where some participants inevitably have better information than others.

Markets about election outcomes, for example, can be influenced by insiders with access to private polling data. Markets about product launches can be influenced by company employees. Markets about AI model releases or capabilities can be influenced by lab employees. The Google search case is particularly stark because the insider advantage was so direct — Spagnuolo didn’t just have better information, he had the actual answer.

The solution isn’t simple. Prediction markets derive much of their value from attracting informed participants, and drawing a line between “well-informed trading” and “insider trading” requires the kind of nuanced regulation that the tech industry has historically resisted.

What Happens Next

Spagnuolo’s case will likely proceed through the Southern District of New York, one of the most aggressive federal courts for financial crimes. The case could take months to reach trial, and a plea deal is possible given the strength of the blockchain evidence.

For Google, the immediate concern is reputational. The company will likely conduct an internal review of data access controls, and may face questions from regulators about how many employees have access to commercially sensitive search data. Google’s public statements about user data privacy become harder to defend when employees can access aggregate search trends for personal profit.

For the prediction market industry, the case establishes a precedent: insider trading laws apply to prediction markets, and regulators are willing to bring criminal charges. That precedent will shape how platforms design their markets, how they monitor for suspicious trading, and how they cooperate with law enforcement.

The Google engineer Polymarket case is a story about greed, access, and the unintended consequences of building platforms where information asymmetry can be monetized. Spagnuolo had one of the most coveted jobs in tech. He allegedly threw it away for $1.2 million. The federal government now intends to make sure the price was even higher than he imagined.