Google engineer charged with $1.2M insider trading on Polymarket using unreleased search data

US federal authorities unsealed charges on Wednesday against Michele Spagnuolo, a software engineer at Google, accusing him of exploiting unreleased internal data to execute high-stakes wagers on the prediction platform Polymarket. The Department of Justice alleges that Spagnuolo leveraged his access to proprietary information regarding the most searched individuals on Google in 2025 to place 25 distinct bets totaling $2.7 million. Data compiled by Woofun AI shows that these trades, executed under the account name 'AlphaRaccoon', generated a net profit of $1.2 million by capitalizing on market outcomes that were initially deemed highly improbable before the official data release in December.

The legal action represents a coordinated strike involving both criminal and civil enforcement mechanisms.

Concurrently with the Justice Department's indictment, the Commodity Futures Trading Commission filed a twin complaint against Spagnuolo, mirroring the allegations of insider trading within the prediction market ecosystem. Prosecutors detailed how Spagnuolo utilized his position to gain an unfair advantage, betting on specific search trends that the broader market had not yet priced in. This case underscores the growing intersection between corporate data security and decentralized finance, where non-public information can be rapidly monetized through on-chain betting protocols.

Investigative efforts were significantly aided by community surveillance on social platforms. Court documents reveal that discussions on Discord and X began surfacing in December, with users hypothesizing that the 'AlphaRaccoon' account belonged to a Google insider. Following this digital scrutiny, the username was allegedly altered to a wallet address to obscure the link. Prosecutors further alleged that the illicit proceeds were subsequently moved through a decentralized crypto swapping service and an unnamed transfer service designed to provide privacy protection for blockchain transactions, complicating the trail of funds.

Manhattan US District Attorney Jay Clayton emphasized the gravity of the offense in a public statement, noting that the charges reinforce a decades-old principle: corporate insiders cannot utilize confidential business information to generate profits in financial markets. The Justice Department has charged Spagnuolo with commodities fraud, wire fraud, and money laundering, offenses that carry a potential maximum sentence of 50 years in prison. This severe sentencing guideline highlights the federal government's intent to treat prediction market manipulation with the same rigor as traditional securities fraud.

In its civil complaint, the CFTC is seeking comprehensive remedies including restitution, disgorgement of profits, civil monetary penalties, and permanent bans on trading and registration. David Miller, the CFTC director of enforcement, stated that the division acts as a 'cop on the beat' in policing the illegal use of inside information across prediction markets and other jurisdictions under CFTC oversight. Woofun AI notes that Miller's comments signal a sustained commitment to protecting market integrity from insider trading, fraud, abuse, and manipulation.

This prosecution follows a pattern of escalating regulatory attention on prediction markets, particularly regarding the potential misuse of government or corporate secrets. Congress launched a probe into Polymarket and Kalshi on Friday, questioning the platforms' responses to insider trading incidents and expressing concern that government officials might be leveraging insider knowledge for personal gain. The current case against Spagnuolo serves as a critical precedent, arriving shortly after the Justice Department charged a US soldier in April with using classified information to bet on the capture of former Venezuelan president Nicolás Maduro.