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US Judge Rules Temporary Stay in Kalshi Betting Case

The stay will last until a hearing scheduled for Sept. 12, when motions by the CFTC and Kalshi will be discussed

September 10, 2024 07:28 AM

Reading time: 1 minute, 27 seconds

TL;DR A federal judge has issued a temporary stay on a decision overturning an order allowing prediction market Kalshi to list bets for the United States election.

Temporary Stay on Election Market Decision

A federal judge issued a temporary administrative stay on a decision overturning an order permitting prediction market platform Kalshi to list bets for the United States election.

This temporary measure was taken in response to a request from the US Commodity Futures Trading Commission (CFTC).

In a minute order posted to the docket in the US District Court for the District of Columbia on September 9, Judge Jia Cobb stated that the court would hold a hearing on September 12.

This hearing aims to address competing motions filed by the CFTC and Kalshi. The temporary stay will provide the court additional time to consider these motions thoroughly.

"This Order does not represent a ruling on the merits of [the CFTC's] motion for a stay but instead grants a temporary administrative stay of three days until the conclusion of the upcoming hearing," said the docket.

The initial order, which allowed Kalshi to list election-related bets, had been a significant step for the prediction market.

However, it faced immediate legal challenges, particularly from the CFTC, which has regulatory authority over such markets. The agency's concerns revolve around the potential impacts and legality of betting on election outcomes.

Kalshi had argued that their platform offers a unique and valuable service by allowing people to hedge risks associated with political events.

However, the CFTC raised questions about such markets' ethical and legal ramifications. These issues are expected to be a focal point of the upcoming hearing.

This development is part of a broader debate about the role and regulation of prediction markets in the United States.

As the situation unfolds, it could set precedents for how regulatory bodies treat similar platforms. Further updates will be shared as more information becomes available.

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