Google Employee Faces US Charges Over Polymarket Insider Trading

U.S. authorities have charged a Google software engineer with insider trading, alleging he used unreleased internal information to place bets on Polymarket and profit substantially. The Department of Justice (DOJ) says Michele Spagnuolo executed 25 wagers totaling about $2.7 million on markets related to the most-searched individuals in 2025, earning roughly $1.2 million on those bets.

Separately, the Commodity Futures Trading Commission (CFTC) filed a twin complaint, levelling similar insider-trading allegations against Spagnuolo. The case spotlights ongoing scrutiny of prediction markets and the potential for sophisticated actors to exploit confidential information in ways that regulators consider prohibited.

In a broader regulatory frame, Congress has opened a probe into Polymarket and Kalshi, questioning how these platforms handle insider information and the risk that government officials could leverage privileged data to place bets. Manhattan U.S. Attorney Jay Clayton emphasized the long-standing principle that insiders cannot profit from confidential business information in public markets, a line echoed by the CFTC’s enforcement leadership as it seeks to curb abuse in the sector.

Key takeaways

• DOJ charges Google software engineer Michele Spagnuolo with insider trading tied to Polymarket bets, based on unreleased internal Google data; 25 bets totaling about $2.7 million, with $1.2 million in profits.
• The CFTC filed a parallel complaint, accusing Spagnuolo of commodities fraud, wire fraud and money laundering; potential penalties include restitution, disgorgement, civil penalties, and bans from trading or registration.
• The account behind the bets reportedly carried the alias “AlphaRaccoon,” which prosecutors say was later renamed to a wallet address and funneled funds through a decentralized swapping service and a privacy-protecting transfer service.
• The unfolding case comes as Congress launches a probe into Polymarket and Kalshi amid concerns that insider knowledge could influence market outcomes on federal events.
• Authorities stress that corporate insiders using confidential information to profit in markets is a long-standing enforcement priority, signaling continued scrutiny of prediction-market platforms.

Insider trading allegations tied to Google data

The DOJ’s filing unsealed on Wednesday centers on claims that Spagnuolo accessed unreleased internal information at Google and used it to bet on markets tied to the most searched individuals in 2025. Prosecutors say the suspect ran a Polymarket account under the handle “AlphaRaccoon,” which allegedly netted $1.2 million from bets on outcomes deemed unlikely by market pricing when Google released its data in December.

According to the court documents, discussions within Discord and X communities began in December about whether AlphaRaccoon pointed to a Google insider. Prosecutors further allege that the AlphaRaccoon username was subsequently changed to a wallet address, and that funds were moved to a decentralized crypto swapping service as well as to a privacy-focused transfer service to obscure transfers.

The DOJ charged Spagnuolo with commodities fraud, wire fraud and money laundering. If convicted on all counts, he could face a substantial prison term, with a maximum sentence that could reach up to 50 years in prison under applicable statutes.

Regulatory action mirrors a broader enforcement wave

In a parallel development, the CFTC filed a twin complaint that mirrors the DOJ’s insider-trading allegations. CFTC officials said the case underscores the agency’s mandate to police the use of inside information in prediction markets and other trading venues within its jurisdiction. The agency’s enforcement leadership framed insider trading as a significant threat to market integrity, particularly in emerging platforms that blend traditional markets with blockchain-based components.

As part of the CFTC’s action, the agency seeks full restitution for affected investors, disgorgement of ill-gotten gains, civil monetary penalties, and trading and registration bans for those found culpable. “The division is a cop on the beat in policing the illegal use of inside information in the prediction markets and other markets within the CFTC’s jurisdiction,” said David Miller, the CFTC’s director of enforcement. He added that authorities “will continue to take action to protect markets from insider trading and other forms of fraud, abuse and manipulation.”

Industry scrutiny intensifies: what this means for Polymarket and Kalshi

The charges arrive amid a climate of heightened congressional attention toward prediction-market platforms. Earlier this week, lawmakers launched a probe into Polymarket and Kalshi to examine how these services respond to insider-trading incidents and whether government officials might leverage privileged information for personal gain. The investigations reflect a tension between regulatory oversight and the perceived innovation thrust of crypto-native betting platforms, as lawmakers weigh safeguards against market manipulation and information asymmetry.

Past incidents have already raised questions about the security and governance of these platforms. In April, the Justice Department charged a U.S. soldier with using classified information to place a Polymarket bet tied to the U.S. government’s actions regarding Nicolás Maduro, underscoring the perceived elasticity of insider information in high-profile political events. These cases collectively emphasize that insiders—whether corporate staff or public officials—face serious legal exposure when confidential information is used for market advantage.

What happens next and what to watch

Key questions in the Spagnuolo case include the timing of court proceedings, the strength of the DOJ’s and CFTC’s evidentiary posture, and the potential for parallel civil actions or settlements. The DOJ has already signaled its intention to pursue a broad set of charges, while the CFTC’s complaint seeks remedies intended to deter similar behavior and restore market trust. The outcome could influence how prediction-market operators implement information-handling safeguards, disclosure protocols, and compliance measures going forward.

Investors and users should watch for any updates on how platforms are adapting to intensified scrutiny, including potential changes to user verification requirements, monitoring of large position builds around sensitive events, and the enforcement landscape that governs cross-border crypto-native markets with traditional regulatory touchpoints.

Readers should also keep an eye on the regulatory narrative surrounding insider information and market integrity. While this case centers on a single individual, the implications extend to platform operators, market participants, and policymakers as they navigate the balance between innovation and robust protections against manipulation.

What remains uncertain is how these developments will shape future enforcement priorities and platform governance. As investigations unfold, the broader market will be watching not only for the legal outcomes but also for the practical safeguards that could redefine how prediction markets operate within or alongside traditional financial oversight.