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The platform, powered by Kalshi, allows users to speculate on the race outcome, with initial trading limits set to ensure stability.
Oct 22, 2025, 6:15 a.m.
Solana-based decentralized exchange Jupiter has launched its inaugural prediction market tied to the outcome of the upcoming F1 Mexico Grand Prix.
The new platform, powered by Kalshi, a leader in event-driven trading, invites fans and traders to speculate on whether their preferred driver – Max Verstappen, Lando Norris, Oscar Piastri, George Russell, or others will claim victory. The Grand Prix will take place on Oct.27, starting at 19:00 UTC and will consist of 71 laps.
The Kalshi backing is crucial because it brings established liquidity and regulatory compliance to the prediction market, enhancing trust and stability for users. This could transform how users engage with real-world events by offering fast, low-cost, and transparent betting.
The prediction market sector has seen rapid growth as it combines elements of finance, gaming, and social engagement, allowing users to speculate on real-world events with transparency and liquidity. According to Dune Analytics, recently leading platforms Kalshi and Polymarket cumulatively registered a record weekly trading volume of over $2 billion.
Market participants can buy and sell "yes" and "no" shares on a variety of choices tied to the Grand Prix winner. Prices of these shares are determined by demand-supply factors, with traders retaining the flexibility to exit positions at any time before the end of the betting contract. At the conclusion of the event, winning positions pay out $1 each, while bets that turned out to be wrong expired worthless.
As a beta offering, Jupiter has implemented initial trading limits to ensure market stability, including a global maximum of 100,000 contracts and a maximum of 1000 contracts per individual position.
AI Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards. For more information, see CoinDesk's full AI Policy.
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