CFTC Targets ‘Mention Markets’: Unpacking Manipulation Risks in Prediction Trading

From the outcomes of elections and interest rate decisions to the precise words a public figure might utter in a speech, prediction markets are rapidly expanding their scope, allowing participants to wager on increasingly granular events.

On September 22nd, the U.S. Commodity Futures Trading Commission (CFTC) issued new regulatory guidance that directly addresses “Mention Markets.” These are defined as event contracts settled based on whether an individual says specific words, attends an event, or interacts with particular people. The CFTC warns these markets carry a heightened risk of manipulation and states that regulated exchanges should only list such products under “limited circumstances.”

The Reality of “Mention Markets”: Betting on a Single Word

Far from hypothetical, “Mention Markets” are an active segment of the prediction landscape. For instance, Polymarket currently hosts a “What will Trump say in September?” market, allowing traders to bet on whether former U.S. President Trump will use specific words during the month. Platform rules require verifiable public audio or video records, excluding simple text posts.

Similarly, Kalshi previously filed an event contract with the CFTC named “TRUMPMENTION,” explicitly defined by whether Trump would speak designated words or phrases in presidential speeches or public statements.

The appeal of these products is straightforward: traders don’t need to forecast an entire political event; they only need to predict a sentence, a single word, or even someone’s attendance at an event.

However, precisely because the settlement outcome hinges on an individual’s discrete actions, the CFTC views these markets as more susceptible to human influence compared to general macroeconomic event contracts.

CFTC’s Core Concern: Direct Control Over Outcomes

The CFTC’s latest guidance highlights that Mention Markets pose a significant manipulation risk because contract settlement depends on a specific individual’s actions, which may not be “independently generated” or fully verifiable by external factors. Consider a market betting on whether a politician will say “Bitcoin.” If the individual themselves, their speechwriter, a teleprompter operator, or anyone with advance knowledge of the speech content participates in trading, a clear information asymmetry can emerge.

Consequently, the CFTC now mandates that regulated Designated Contract Markets (DCMs) must re-evaluate whether such contracts are “readily susceptible to manipulation” when listing them, requiring a more comprehensive, contract-specific analysis. While not an outright ban, this guidance effectively raises the compliance bar for exchanges seeking to offer Mention Markets.

A Stark Warning: White House Insider Profited Over $100,000

The CFTC’s recent intervention is underscored by a compelling real-world case.

On August 28th, the CFTC took action against Gabriel Perez, a former White House teleprompter operator. The regulator found that during his tenure from December 2025 to February 2026, Perez had access to speech content before Trump’s public addresses. He then leveraged this non-public information to trade event contracts predicting “whether the president would say certain words.”

Perez ultimately profited $107,539.02 from these illicit trades. The CFTC ordered him to disgorge all illegal gains, pay an additional $65,000 civil monetary penalty, and imposed a three-year trading ban. The regulatory body specifically noted that KalshiEX assisted in the investigation.

This case vividly exposes a structural flaw in Mention Markets: while ordinary traders analyze public news, insiders may possess direct knowledge of the “answer.”

From Niche to Mainstream: The Explosive Growth of Prediction Markets

The increased regulatory scrutiny also reflects the dramatic expansion of prediction market trading volumes. Data reveals that Kalshi, Polymarket, and Polymarket US collectively recorded a staggering $45.33 billion in trading volume in August this year. Kalshi alone accounted for approximately $37.17 billion, with Polymarket and its U.S. platform contributing around $8.16 billion.

This acceleration continued into September. Latest statistics for the week ending September 20th show Kalshi’s single-week trading volume hitting a recent high of approximately $15.27 billion, while Polymarket’s reached about $2.75 billion for the same period. Combined, their weekly trading volume approached $18 billion.

These are no longer experimental products valued in the millions; they represent an emerging derivatives market generating tens of billions of dollars in weekly turnover. As trading volumes surge, so does the potential for damage from market manipulation and insider information.

It’s crucial to note that the CFTC’s current policy is not a blanket ban on all prediction markets. In fact, the CFTC has recently eased restrictions for some software providers connecting to regulated prediction markets, while simultaneously elevating market integrity requirements for event contracts deemed susceptible to manipulation. “Mention Markets” are simply the first category of high-risk products to be explicitly identified.

The Next Frontier: Integrity and Control Over the “Answer”

For prediction markets, the greatest value of event contracts lies in their ability to synthesize dispersed information into market prices.

However, Mention Markets present a unique paradox: if a contract’s outcome can be altered by a single statement from an individual, and that person or their associates possess advance knowledge of the “answer,” then the market price may not reflect collective predictive ability but rather the degree of access to privileged information. The true boundary drawn by the CFTC’s latest guidance isn’t about whether one can bet on politics; it’s about whether a market can maintain sufficient fairness and resilience against manipulation when an individual can directly control the contract’s outcome.

With Kalshi and Polymarket’s combined weekly trading volume nearing $18 billion, this issue is rapidly evolving from a niche debate within prediction markets into a systemic regulatory challenge that U.S. financial market authorities must address.