A bettor earned a substantial sum by predicting the removal of Nicolás Maduro shortly prior to it was officially announced, raising questions about the possibility of profiting from inside knowledge of the event.
Predictions made on the forecasting site, a crypto-powered platform, that the leader would be removed from office by the end of January rose in the period preceding former President Trump announced on Saturday that Maduro had been seized.
A single trader, which joined the platform in December and took four positions, all on Venezuela, made more than $nearly half a million from a initial bet of $32,537.
Who placed the bet is a mystery. The user had only a blockchain identifier for identification.
Market statistics shows that users assessed the probability of the president's removal at just a low 6.5 percent in the afternoon of the prior Friday.
Yet the market's assessment had jumped to eleven percent by shortly before midnight and skyrocketed in the first hours of the next day, pointing to a rapid movement in betting activity just before the official statement was made.
"This specific wager has all the hallmarks of a bet based on confidential knowledge," commented an industry expert.
A small number of other individuals also profited tens of thousands of dollars from similar wagers.
Politicians are growing concerned.
Proposed legislation put forward on the start of the week seeks to ban public officials from placing bets on forecasting platforms if they have "confidential government knowledge" related to a wager.
Forecasting platforms have become increasingly popular in the United States, with traders able to bet on everything from sports outcomes to current affairs.
This sector faced scrutiny under the Biden administration. Yet it has received a warmer welcome during the present political climate.
Using confidential knowledge is illegal in the stock market, but there are less oversight in the prediction market space.
A company executive for a competing service said their site "strictly forbids insider trading of any form."
A tech journalist with over a decade of experience covering AI, cybersecurity, and digital trends across global markets.