Former White House teleprompter operator Gabriel Perez admitted to illegally profiting on the Kalshi prediction market by using nonpublic information obtained in advance of Trump’s teleprompter script, and agreed to pay a fine of about $172,500 and disgorge illegal proceeds. If I’m not mistaken, this should be the first instance in the history of prediction markets involving insider trading enforcement tied to top White House staff—signaling that the rulebook’s boundaries are being extended to political games.
This case shows us that the biggest risk in prediction markets has never been technology, but rather insider cheating. We can view prediction markets as leading indicators for macro events; however, the more a contract’s liquidity is concentrated in a small number of accounts—and the more those accounts have physical contact with the decision-making tier—the lower the contract’s reference value becomes#提词员付17万美元和解内幕交易案
This case shows us that the biggest risk in prediction markets has never been technology, but rather insider cheating. We can view prediction markets as leading indicators for macro events; however, the more a contract’s liquidity is concentrated in a small number of accounts—and the more those accounts have physical contact with the decision-making tier—the lower the contract’s reference value becomes#提词员付17万美元和解内幕交易案