Google Software Engineer Charged With Insider Trading After Using Confidential Company Data to Make Over $1.2 Million in Profits on Prediction Market Polymarket

The criminal complaint was unsealed in the United States District Court for the Southern District of New York before US Magistrate Judge Sarah Netburn. According to prosecutors, Spagnuolo, who resides in Switzerland, operated on Polymarket under the anonymous trading alias "AlphaRaccoon." Between October and December of 2025, he allegedly accessed Google's proprietary internal software tools and data systems, which were clearly marked with a "Google Confidential" banner, and used the sensitive nonpublic information contained within those systems to inform and execute trades on Polymarket. Prosecutors allege that Spagnuolo placed bets directly tied to Google's business outcomes, risking approximately $2.75 million in total, and walked away with profits exceeding $1.2 million once the confidential information he had accessed eventually became public knowledge.

US Attorney Jay Clayton, speaking on the charges, stated that the case sends a clear and unambiguous message to corporate insiders across every industry. Clayton emphasised that Spagnuolo violated the duties and responsibilities he owed to his employer and leveraged Google's confidential business information to generate illegal trading profits in a marketplace that regulators are watching with increasing scrutiny. FBI Assistant Director James C. Barnacle Jr. echoed these sentiments, noting that Spagnuolo had allegedly abused elevated access privileges granted to him as a trusted employee to place bets using nonpublic information and receive more than one million dollars in unlawful gains.

At the heart of the prosecution is the nature of the access Spagnuolo allegedly misused. As a software engineer at Google, he had legitimate access to sophisticated internal software tools that displayed sensitive business data. These tools clearly identified information as proprietary and confidential, carrying visible "Google Confidential" designations that served as direct reminders to employees of their obligations under the company's own confidentiality and ethics policies.

Court filings reveal that Spagnuolo had formally certified his understanding of Google's confidentiality standards and ethical guidelines, a routine requirement for employees who handle sensitive internal data. Despite this explicit acknowledgment, prosecutors allege he repeatedly accessed this protected information and used it to gain a trading advantage that no ordinary market participant could have obtained. The trades he allegedly placed on Polymarket were not casual bets but highly calculated positions, directly correlated to business outcomes at Google that only a small number of insiders could have anticipated with such precision.

Polymarket, for those unfamiliar with the platform, is a decentralised prediction market built on blockchain infrastructure. It allows users to place monetary bets on the outcomes of real world events, ranging from elections and geopolitical developments to corporate announcements and financial results. The platform has grown rapidly in global user base and trading volume, particularly among those who follow technology, politics, and finance. However, its pseudonymous and decentralised nature has simultaneously attracted regulatory attention, as the Spagnuolo case now makes vividly clear.

One of the most significant dimensions of this case is the legal theory underpinning the prosecution. Insider trading law, long applied to traditional stock and securities markets, has now been extended to commodities markets and, in this instance, to a decentralised prediction market that operates outside the traditional financial system. The charges of commodities fraud indicate that federal prosecutors are treating certain Polymarket contracts as falling within the regulatory ambit of commodities law, a position that could have far reaching consequences for prediction markets broadly.

Legal experts observing the case note that the extension of insider trading frameworks to prediction markets is a significant development. If Polymarket contracts tied to corporate outcomes are treated as commodities, then anyone who possesses material nonpublic information and uses it to trade on such platforms may now face federal prosecution. This is not merely a story about one rogue engineer. It is potentially a story about how regulators intend to govern the next generation of financial markets.

The addition of wire fraud and money laundering charges further illustrates the severity with which authorities are treating the alleged misconduct. Wire fraud charges can arise when electronic communications are used in connection with a fraudulent scheme, while money laundering charges suggest prosecutors believe efforts were made to conceal or legitimise the proceeds of the alleged illegal activity.

Polymarket has long operated in a regulatory grey zone. The platform rose to significant prominence during the 2024 US presidential election cycle, when its prediction markets drew mainstream media attention and were widely cited alongside traditional polling data. Its decentralised structure and use of cryptocurrency settlements made it attractive to users who valued anonymity and sought alternatives to regulated financial markets.

The Spagnuolo case now places Polymarket and platforms like it squarely in the crosshairs of American law enforcement and financial regulation. The case demonstrates that even on pseudonymous, blockchain based platforms, determined investigators can identify individual traders and trace their activities back to specific individuals, especially when unusual trading patterns emerge in the period immediately preceding public corporate announcements.

For the technology industry, the case serves as a stark reminder that data access comes with legal responsibility. Employees at major corporations are regularly granted access to sensitive business information as a function of their roles, but that access does not come without boundaries. The legal and reputational consequences of crossing those boundaries, as the charges against Spagnuolo illustrate, can be severe and very public.

As of the time of this report, Spagnuolo has been formally presented before the court and the case is now proceeding through the federal judicial process. He faces multiple serious charges, each carrying significant potential penalties. Commodities fraud and wire fraud charges under federal law can each carry prison sentences of up to twenty years, while money laundering convictions can add additional years to any sentence.

The case will be closely watched by legal scholars, technology industry observers, financial regulators, and participants in prediction markets worldwide. It may ultimately define how far the arm of American insider trading law can reach into decentralised and pseudonymous financial platforms, and it will almost certainly prompt compliance reviews at major corporations regarding who has access to what data and what controls exist to prevent its misuse.

For now, the message from federal prosecutors is unmistakable. The era of treating prediction markets as consequence free zones for those armed with privileged corporate information appears to be over.