Google Engineer Indicted for Insider Trading Scheme on Prediction Market

By Patricia Miller

May 28, 2026

2 min read

A Google engineer is accused of insider trading, using confidential data to profit over $1.2 million via betting on Polymarket.

A Google information security engineer has been accused of committing several serious crimes including commodities fraud and wire fraud. Michele Spagnuolo allegedly leveraged confidential company data to successfully place high-stakes bets on a blockchain-based prediction market named Polymarket. Reports indicate that this scheme allowed him to secure profits exceeding $1.2 million in just three months.

Spagnuolo was formally charged by federal prosecutors in the Southern District of New York on May 27 and was subsequently arrested in New York City. After being released on a bond amounting to $2.25 million, he now faces significant legal challenges.

How did confidential search data influence betting outcomes? As a security engineer with Google, Spagnuolo had internal access to sensitive search trend data. This information directly contributes to Google’s annual “Year in Search” report, which highlights the year’s most-searched topics and figures.

Polymarket serves as a blockchain prediction market where individuals can stake real money on the resolution of future events. The bets can range from political elections to cultural phenomena, including searches related to Google’s metrics. Between October and December 2025, Spagnuolo reportedly wagered over $2.7 million on Polymarket, largely targeting outcomes related to Google’s predictions for its 2025 searches.

What makes Spagnuolo’s case particularly alarming is the nature of his bets. Unlike placing forecasts on well-known personalities, he made high-stakes predictions on lesser-known individuals such as d4vd, an indie musician, indicating a clear advantage based on his insider knowledge.

This incident is not isolated as it follows earlier investigations into Polymarket regarding similar behavior. A prior case involved a U.S. Army soldier, which led the platform to strengthen its integrity policies. In addition to criminal allegations, the Commodity Futures Trading Commission is taking action by filing a related complaint, highlighting the conflict of interest inherent to such prediction markets.

Why should investors in prediction markets pay attention to this case? Every time an individual with privileged information makes a significant wager, they effectively undermine the probability model for other investors who rely solely on publicly available data. In Spagnuolo’s instance, competitors lost money on his bet involving d4vd as they lacked access to Google’s internal analytics. Therefore, markets focused on outcomes governed by a single entity, like Google, inherently carry a risk of information asymmetry. Unlike betting on broadly-known outcomes like the Super Bowl, focusing on derived metrics specific to a company creates an uneven playing field.

As the legal proceedings unfold in the Southern District of New York, the severity of the charges related to commodities fraud, wire fraud, and money laundering underscores the potential for profound implications in the realm of blockchain and predictive investing. Investors must remain vigilant about the integrity of information when engaging in prediction markets, understanding that insider information can skew fair play and market equity significantly.

Important Notice And Disclaimer

This article does not provide any financial advice and is not a recommendation to deal in any securities or product. Investments may fall in value and an investor may lose some or all of their investment. Past performance is not an indicator of future performance.