An Prediction Market User Earned $Nearly Half a Million on Wagers Predicting Maduro's Downfall.

Illustration of a prediction market app
A smartphone screen displays a prediction market application logo.

A bettor profited close to $500,000 by predicting the removal of Venezuela's president immediately preceding it was made public, leading to inquiries about whether someone profited from non-public details of American actions.

Market Movement in Predictions

Predictions made on the forecasting site, a blockchain-based service, that the Venezuelan president would be no longer in control by the end of January increased in the time leading up to Donald Trump stated on Saturday that the president had been seized.

A single trader, which registered on the site recently and made four bets, all on Venezuela, earned over $436,000 from a modest bet of $32.5K.

The identity is unknown. The anonymous account had only a cryptographic address for identification.

Market Signals Before Public Statement

Platform data shows that users assessed the probability of the president's removal at just under 7% in the afternoon of the prior Friday.

But these probabilities had increased to eleven percent by the end of the day and skyrocketed in the morning of January 3rd, suggesting a sudden change in positions immediately prior to the social media post was made.

"That trade has all the signs of a transaction based on non-public details," commented an industry expert.

A small number of other individuals also made tens of thousands of dollars from bets on the same outcome.

Political Attention Emerges

Elected officials are starting to take note.

A bill introduced on Monday seeks to ban federal workers from making trades on prediction markets if they have "material nonpublic information" related to a wager.

The Prediction Market Landscape

Forecasting platforms have become increasingly popular in recent years, with users able to predict everything from sports outcomes to political events.

The industry encountered regulatory challenges under the previous administration. But it has found a more favorable environment during the Trump presidency.

Using confidential knowledge is a crime in the traditional financial markets, but there are fewer regulations in the forecasting space.

A company executive for another major platform said their site "explicitly prohibits trading on insider information of any form."

Stephanie Smith
Stephanie Smith

Lena Voss is a fantasy writer and editor who explores the art of storytelling through magical narratives.