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Kalshi catches Trump teleprompter operator insider trading

▼ Summary

– A Kalshi user betting on President Trump’s speech content faced an unfair advantage: the president’s teleprompter operator.
– Federal investigators believe Gabriel Perez, Trump’s teleprompter operator since 2016, used inside information to place bets.
– The bets were on Kalshi’s “mentions” markets, where users predict what individuals will say during high-profile events.
– Perez is accused of betting on what Trump would say during more than a dozen events.
– The investigation was reported by ABC News and covered by The Verge.

Federal investigators have reportedly uncovered a case of insider trading on the prediction platform Kalshi, and the suspect is no ordinary trader. According to ABC News, the individual in question is Gabriel Perez, who has served as President Donald Trump’s teleprompter operator since 2016. The allegation is that Perez used his privileged access to Trump’s speech scripts to place bets on what the president would say during major public addresses.

Kalshi, a popular prediction market where users wager on everything from election outcomes to economic indicators, offers a specific category known as “mentions” markets. In these markets, participants try to forecast specific words or phrases a public figure will utter during a high-profile event. Perez is accused of leveraging his inside knowledge to bet on Trump’s remarks across more than a dozen events, potentially netting significant profits.

The case highlights a novel intersection of insider trading laws and the rapidly growing world of event-driven betting platforms. While traditional insider trading typically involves stocks or securities, the investigation into Perez suggests that regulators are taking a hard look at how non-public information can be exploited in these alternative markets. The allegations, if proven, could set a precedent for how such cases are handled in the future, especially as platforms like Kalshi continue to expand their offerings and user base.

(Source: The Verge)

Topics

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