Michele Spagnuolo had a good job. The 36-year-old Italian security engineer had worked at Google for over 12 years. He was based in Switzerland. He had access to some of the most closely guarded data in Silicon Valley.
He used that access to bet $2.7 million on Polymarket and walk away with $1.2 million in profit. Then the FBI came knocking.
On Wednesday, the US Attorney’s Office for the Southern District of New York unsealed a criminal complaint charging Spagnuolo with commodities fraud, wire fraud, and money laundering. The CFTC filed a parallel civil case seeking disgorgement of his profits, restitution, and additional penalties.
His trading handle on Polymarket was “AlphaRaccoon.” His strategy was elegant in its simplicity and brazen in its illegality. And his arrest marks only the second time the federal government has filed criminal charges against someone for insider trading on a prediction market.
How “AlphaRaccoon” Pulled It Off
The scheme centred on one of Google’s most popular annual traditions: the Year in Search.
Every December, Google publishes a recap of the most-searched terms and people of the year. It’s a major marketing event that generates enormous public interest. In late 2025, Polymarket launched contracts allowing users to bet on who would top Google’s list of most-searched individuals for 2025.
For anyone trading on those contracts, the outcome was genuinely uncertain. Which celebrity, politician, or public figure was searched the most? Without access to Google’s internal data, it was anyone’s guess.
Spagnuolo didn’t have to guess. He had access to the answers.
Using an internal Google tool available to all employees, Spagnuolo allegedly accessed confidential marketing materials that contained the Year in Search results before they were published. The documents were marked “Google Confidential.” He ignored the warning, reviewed the data, and then placed massive bets on Polymarket knowing exactly who would top the list.
His AlphaRaccoon account wagered approximately $2.7 million across multiple Year in Search contracts. Because he already knew the outcomes, the bets were essentially risk-free. He netted $1.2 million in profit.
After collecting his winnings, Spagnuolo removed the AlphaRaccoon username from his Polymarket account and transferred the cryptocurrency from the associated wallet. That attempt to cover his tracks ultimately failed because blockchain transactions are permanent and traceable, exactly the feature that Polymarket’s legal team used to help investigators build their case.
The Second Insider Trading Arrest Tied to Polymarket
Spagnuolo is not the first person to face federal criminal charges for insider trading on Polymarket. He’s the second.
In April, the Justice Department charged a US Army Special Forces Master Sergeant with using classified information about a military operation to capture Venezuelan president Nicolás Maduro to place winning bets on Polymarket. The soldier allegedly knew about the raid before it was publicly announced and bet on its outcome, pocketing roughly $400,000.
Two federal criminal cases in two months, each involving individuals who used privileged access to information from powerful institutions (Google and the US military) to exploit prediction market contracts. The pattern suggests that as prediction markets grow and offer contracts on an ever-wider range of events, the temptation for insiders to trade on confidential information will grow with them.
US Attorney Jay Clayton addressed this directly. “Insider trading compromises the integrity of our markets, and the American people want this greed-driven conduct investigated and prosecuted,” he said in the press release announcing the charges.
The legal framing of these cases is breaking new ground. Prediction market contracts are regulated by the CFTC as derivatives, not by the SEC as securities. Insider trading liability has historically been easier to enforce under securities law. Prosecutors are using commodities fraud and wire fraud statutes to apply the same principles in a new regulatory context. How courts rule on these cases could shape insider trading enforcement across the entire prediction market industry.
Polymarket Helped Build the Case
Here’s the twist that most coverage has missed. Polymarket actively cooperated with investigators to catch Spagnuolo.
The platform’s chief legal officer, Olivia Chalos, said in a statement that Polymarket “is the only prediction platform to date whose cooperation has led to insider trading charges in the United States.” She pointed out that because users trade using cryptocurrency, the platform is “transparent, traceable, and bad actors leave footprints.”
That cooperation runs counter to the narrative that crypto platforms are havens for fraud. Polymarket didn’t obstruct the investigation. It helped the FBI trace AlphaRaccoon’s transactions, identify Spagnuolo’s wallet, and build a case strong enough for federal charges. The blockchain’s permanent transaction record, the same feature that makes privacy advocates uncomfortable, is what made the prosecution possible.
Following the investigation, Polymarket rewrote its rules to explicitly state that users cannot trade in contracts in which they possess confidential information or could influence the outcome of an event. Whether those rules are enforceable on a decentralized platform is another question, but the legal framework for prosecution now exists regardless.
Google also cooperated. A spokesperson said the company is “working with law enforcement on their investigation” and confirmed that Spagnuolo used a tool available to all employees, but that “using such confidential information to place bets is a serious breach of our policies.” Spagnuolo has been placed on leave.
What This Means for Prediction Markets
The AlphaRaccoon case arrives at a pivotal moment for the prediction market industry.
Polymarket is dealing with a $700K hack, a ban in India, and a congressional investigation into its trading practices. Kalshi is fighting legal battles in multiple US states. The CFTC’s enforcement posture has been gutted, with actions dropping from 80+ under the previous administration to 2. And the Trump administration has publicly praised prediction markets as “great for America.”
Into this environment drops a case that demonstrates exactly the kind of abuse that prediction market critics have been warning about. When a Google engineer can use confidential corporate data to make $1.2 million risk-free on a prediction market, it validates the concern that these platforms are vulnerable to exploitation by anyone with access to non-public information.
The list of people who possess non-public information that could be used to trade prediction market contracts is enormous. Government officials who know policy decisions before they’re announced. Corporate employees who know earnings results before they’re published. Military personnel who know about operations before they’re executed. Journalists who know stories before they’re printed. The surface area for insider trading in prediction markets is far wider than in traditional stock markets.
The industry’s response will determine its long-term credibility. Polymarket’s cooperation with investigators is a positive signal. Kalshi’s CFTC regulation provides structural protections. But as prediction markets expand into sports, politics, corporate events, and virtually every other domain, the enforcement infrastructure needs to keep pace.
Two insider trading arrests in two months are a warning. Whether it’s the beginning of a sustained enforcement campaign or an anomaly in a market where oversight is disappearing depends on whether the people charged with protecting these markets are allowed to do their jobs.
The Bigger Lesson About Blockchain and Crime
Every crypto skeptic who argues that blockchain enables crime needs to read this case carefully. Because it proves the exact opposite.
Spagnuolo used blockchain-based infrastructure to commit fraud. And that same blockchain is what caught him. His transactions were permanently recorded. His wallet was traceable. His withdrawal patterns were analyzable. The FBI didn’t need a search warrant for his bank records. They followed the trail on a public ledger.
“AlphaRaccoon” thought anonymity would protect him. It didn’t. Blockchain pseudonymity creates the illusion of privacy while maintaining perfect accountability. Every transaction he made is still visible on the Ethereum blockchain right now. It will be there forever.
That transparency is why Polymarket could cooperate so effectively with investigators. It’s why the CFTC could file a civil case with specific transaction details. And it’s why a 36-year-old engineer who thought he’d found a risk-free way to make $1.2 million is now facing federal fraud and money laundering charges that carry decades in prison.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Cryptocurrency investments carry significant risk. Always conduct your own research before making any investment decisions.
