A Google engineer allegedly turned confidential company information into more than $1.2 million in profits on Polymarket, according to federal prosecutors in New York.
The case, which centers around insider betting tied to Google’s “Year in Search” rankings, has quickly become one of the most significant criminal investigations involving prediction markets in the United States. Prosecutors claim the employee used internal Google search trend data to place highly profitable bets before the information became public.
The allegations also mark the second major insider trading case connected to Polymarket within weeks, signaling growing federal scrutiny of crypto-based prediction platforms.
Who Is Michele Spagnuolo?
According to federal court documents, Michele Spagnuolo is a 36-year-old Italian citizen living in Switzerland who worked as a software and information security engineer at Google.
Authorities allege that between October and December 2025, Spagnuolo accessed confidential internal search trend information at Google and used that data to place bets on Polymarket under the username “AlphaRaccoon.”
Federal prosecutors charged Spagnuolo with:
- Commodities fraud
- Wire fraud
- Money laundering
The criminal complaint was unsealed in the Southern District of New York on May 27, 2026.
The Justice Department alleges that Spagnuolo had access to nonpublic Google search ranking information before the company released its official “Year in Search 2025” report.
That information allegedly allowed him to make highly accurate bets on which celebrities and public figures would appear on Google’s most searched list.
Prosecutors say he ultimately generated approximately $1.2 million in profits.
Spagnuolo has not been convicted of any crime and is presumed innocent unless proven guilty in court.
What Is Polymarket?
Polymarket is a cryptocurrency-based prediction market platform where users bet on real-world outcomes.
Unlike traditional sports betting websites, Polymarket allows users to trade contracts connected to politics, entertainment, economic events, global conflicts, celebrity news, and internet trends.
Users essentially buy “yes” or “no” shares on future outcomes. Prices fluctuate based on public sentiment and probability.
Over the last two years, prediction markets like Polymarket and Kalshi have experienced explosive growth. During major elections and geopolitical events, these platforms processed billions of dollars in trading volume.
Supporters argue that prediction markets aggregate public knowledge more efficiently than polls or traditional forecasting models.
Critics, however, warn that these markets create incentives for manipulation, insider trading, and exploitation of confidential information.
The allegations against Spagnuolo appear to reinforce those concerns.
The Alleged Insider Trading Scheme
According to prosecutors, the alleged scheme revolved around Google’s annual “Year in Search” rankings.
Every year, Google publishes a list highlighting the most searched people, topics, and events across the internet. The rankings often attract significant media attention because they reflect major cultural moments and public interest trends.
Polymarket created markets allowing users to bet on who would become Google’s most searched person of the year.
To ordinary users, these markets were speculative. Traders relied on social media trends, news coverage, celebrity scandals, and internet discussions to make predictions.
But prosecutors allege that Spagnuolo was not relying on speculation.
The complaint states that he had access to internal Google systems capable of tracking search trends before the information became public.
“Unlike the counterparties to his trades, Spagnuolo knew the outcome of these wagers before the trading public did because he had accessed Google’s confidential, commercially valuable internal data,” prosecutors wrote in the complaint.
Authorities say Spagnuolo placed approximately 25 bets tied to Google search rankings and risked nearly $2.7 million in total capital.
Many of those bets allegedly involved extremely unlikely outcomes that later proved correct.
The D4vd Bet That Raised Suspicion
One of the most notable trades involved singer D4vd.
At the time AlphaRaccoon placed the bet, Polymarket users reportedly assigned almost no chance that D4vd would become Google’s most searched person of 2025.
According to prosecutors, the market probability was near zero.
Despite those odds, Spagnuolo allegedly wagered heavily that D4vd would top Google’s search rankings.
Weeks later, Google officially confirmed that D4vd had become the most searched person of the year. The trade reportedly generated nearly $200,000 in profit.
The singer attracted massive public attention after criminal allegations connected to the death of a teenage girl dominated headlines. The sudden media exposure reportedly caused an enormous spike in search activity.
To most traders, the outcome appeared unpredictable.
But prosecutors argue that internal Google trend data made the result much easier to anticipate.
The D4vd wager became one of the primary reasons online users started questioning how AlphaRaccoon consistently beat the market.
Why the Winning Streak Looked Suspicious
By late 2025, AlphaRaccoon had developed a near-mythical reputation among Polymarket users.
The account reportedly went 22-for-23 on prediction markets tied to Google search rankings.
In several cases, AlphaRaccoon made bets against public market sentiment and still won.
Crypto communities on Discord and social media began openly discussing whether the trader had access to insider information.
One viral post summarized the disbelief surrounding the account:
“$1.15M profit in 24 hours trading Google search markets. Who is AlphaRaccoon?”
According to prosecutors, the answer was hidden in Google’s internal systems.
Federal authorities allege that Spagnuolo accessed confidential search data through tools available to Google employees and then used that information to make near-risk-free trades.
Google Responds to the Allegations
Google confirmed that it is cooperating with law enforcement.
In a statement reported by multiple outlets, a Google spokesperson said the employee accessed marketing-related information using an internal tool available to staff members but described using that information for betting as a serious violation of company policy.
The company also confirmed that Spagnuolo has been placed on leave.
The case raises broader questions about internal data access at large technology companies.
Google generates enormous amounts of behavioral and search trend information every day. If employees can access sensitive trend data before public release, regulators and companies may now face pressure to strengthen internal safeguards.
The incident could also force technology firms to rethink how internal analytics tools are distributed among employees.
Polymarket Helped Investigators
One of the most surprising aspects of the case is Polymarket’s cooperation with authorities.
According to company statements, Polymarket worked directly with federal investigators and the Commodity Futures Trading Commission (CFTC) during the investigation.
The company said it is the “only prediction platform to date whose cooperation has led to insider trading charges in the United States.”
Polymarket also stated that it remains committed to maintaining “accurate, fair, and transparent markets.”
That cooperation reflects a major shift in how prediction platforms are attempting to position themselves.
For years, crypto prediction markets operated in legal gray areas with limited oversight. But as trading volume and mainstream attention increased, platforms began facing pressure to adopt stronger compliance measures.
Helping federal authorities investigate insider trading may help platforms like Polymarket gain legitimacy with regulators.
Why Regulators Are Paying Attention
The Spagnuolo case arrives during a period of increased scrutiny surrounding prediction markets.
Federal regulators appear increasingly concerned that insider trading on prediction platforms could become widespread as the industry grows.
In April 2026, federal authorities arrested U.S. Army Special Forces member Gannon Ken Van Dyke on allegations that he used classified information related to Venezuela to place profitable Polymarket bets. Van Dyke pleaded not guilty.
Two insider trading cases connected to the same platform within weeks have intensified debate about regulation.
The Commodity Futures Trading Commission has already signaled that it intends to treat manipulation and insider trading on prediction markets similarly to misconduct in traditional financial markets.
CFTC Chairman Michael S. Selig stated:
“The Commission will not tolerate fraud, manipulation, or insider trading, regardless of the technology or platform that is used.”
That statement reflects a broader federal position: prediction markets may use crypto infrastructure, but regulators increasingly view them as financial markets subject to established rules.
The Legal Questions Around Prediction Markets
The case also highlights an evolving legal issue: how insider trading laws apply to prediction markets.
Traditional insider trading cases usually involve stock trading or securities markets.
Prediction markets operate differently. Users are betting on outcomes rather than buying ownership in companies.
However, prosecutors appear to be relying on the “misappropriation theory” of insider trading. Under that legal framework, a person commits fraud by using confidential information obtained through a position of trust for personal financial gain.
In this case, prosecutors argue that Spagnuolo violated duties owed to Google by allegedly using confidential internal data for trading purposes.
Legal experts believe cases like this could shape the future regulatory structure governing prediction platforms in the United States.
If courts broadly support these theories, insider trading enforcement could become much more aggressive across crypto-based prediction markets.
The Bigger Threat to Prediction Markets
Prediction markets depend heavily on trust.
Their core appeal is the idea that thousands of users collectively analyze public information to create accurate forecasts about the future.
But insider information undermines that system.
When someone enters the market with confidential knowledge, they are no longer forecasting outcomes — they are exploiting certainty.
That creates an uneven playing field where ordinary users unknowingly trade against insiders with superior information.
If insider trading becomes widespread, confidence in prediction markets could decline significantly.
That risk may explain why federal authorities are moving aggressively against alleged insider traders before the industry becomes even larger.
A Defining Moment for the Industry
The allegations against Michele Spagnuolo could become a defining moment for prediction markets.
For years, platforms like Polymarket existed on the edges of finance and crypto culture. But billions in trading volume have transformed them into influential financial ecosystems attracting mainstream attention.
With that growth comes regulatory scrutiny.
Federal prosecutors appear determined to send a clear message: insider trading laws apply even when the trades occur on decentralized prediction platforms instead of Wall Street.
The AlphaRaccoon case demonstrates how valuable internal corporate data can become in modern betting markets.
Search trends, behavioral analytics, and private company information now carry financial value far beyond traditional stock trading.
As prediction markets continue expanding, regulators, technology companies, and platforms themselves may all face difficult questions about transparency, fairness, and enforcement.
For now, prosecutors allege that AlphaRaccoon’s remarkable winning streak was never extraordinary market intuition at all.
According to the government, it was confidential information hidden behind Google’s internal systems.
Michele Spagnuolo has been charged but not convicted. He is presumed innocent unless proven guilty in a court of law.
Conclusion
The allegations against Michele Spagnuolo mark a major turning point for prediction markets and insider trading enforcement in the crypto era. Federal prosecutors claim the Google engineer used confidential search trend data to gain an unfair advantage on Polymarket, generating more than $1.2 million in profits before the information became public.
While the case is still unfolding in court, it highlights growing concerns about how internal corporate data can be exploited in modern betting and prediction platforms. It also signals that U.S. regulators are increasingly willing to treat prediction-market manipulation similarly to traditional financial insider trading.
For platforms like Polymarket, the scandal represents both a challenge and a warning. As prediction markets continue expanding into mainstream finance and political forecasting, maintaining trust, transparency, and fair trading conditions will become critical for long-term growth.
The AlphaRaccoon case may ultimately shape how regulators, technology companies, and prediction-market platforms handle insider information for years to come.
Frequently Asked Questions (FAQ)
Who is Michele Spagnuolo?
Michele Spagnuolo is a 36-year-old Italian citizen living in Switzerland who worked as a Google engineer. U.S. prosecutors accuse him of using confidential Google search trend data to place profitable bets on Polymarket.
What is AlphaRaccoon?
AlphaRaccoon was the username allegedly used by Michele Spagnuolo on Polymarket while placing prediction-market bets tied to Google’s “Year in Search” rankings.
How much money did the Google engineer allegedly make?
According to federal prosecutors, the trades generated approximately $1.2 million in profits.
What is Polymarket?
Polymarket is a cryptocurrency-based prediction market platform where users can bet on real-world events, including politics, entertainment, sports, and economic outcomes.
What charges does Michele Spagnuolo face?
Federal authorities charged Spagnuolo with commodities fraud, wire fraud, and money laundering.
Why is the D4vd bet important?
The D4vd trade drew attention because the market assigned extremely low odds to the singer becoming Google’s most searched person of 2025. Prosecutors allege the bet succeeded because Spagnuolo had access to confidential internal search data.
Did Google respond to the allegations?
Yes. Google said it is cooperating with law enforcement and confirmed the employee has been placed on leave.
Is insider trading illegal on prediction markets?
Federal regulators increasingly argue that insider trading laws apply to prediction markets, especially when confidential information is used for financial gain.
Has Michele Spagnuolo been convicted?
No. He has only been charged. Under U.S. law, he is presumed innocent unless proven guilty in court.
