Crypto exchange Jupiter is shifting gears toward a full-scale rollout of its new on-chain predictions market before 2026.
The platform’s beta version went live this week, introducing a test market tied to the Formula 1 Mexico Grand Prix. Traders can now speculate on race outcomes using “yes” or “no” positions, with payouts of $1 for each correct prediction.
The early test signals Jupiter’s move into event-driven trading, a growing area of decentralized finance. Powered by liquidity from Kalshi, the beta marks the exchange’s first step toward building a dedicated prediction market that merges sport, crypto, and market forecasting in one platform.
According to Jupiter’s official update on X (formerly Twitter), users can select from a range of F1 drivers such as Max Verstappen, Lando Norris, Oscar Piastri, and George Russell.
Traders choose either side of the bet and can sell positions anytime before the event concludes.
If their prediction proves correct, they receive $1 per winning position. The system functions on a transparent pricing model where contract values shift with market sentiment.
The beta imposes strict limits, 100,000 global contracts and a 1,000 position cap per trader, to maintain controlled liquidity.
Data shared in Jupiter’s DocSend briefing outlined that the pilot program aims to test settlement mechanisms, on-chain order flow, and retail participation under live conditions.
Jupiter’s roadmap points toward a full release before 2026. The exchange plans to scale from single-event prediction markets, like the current F1 test, to broader categories including politics, sports, and crypto asset outcomes.
Internal documents show that Jupiter intends to leverage its liquidity routing system and integration tools to support a more open ecosystem for prediction trading. The goal is to make these contracts as accessible as traditional crypto swaps.
While still in testing, the beta hints at how on-chain prediction markets could evolve into a major feature of decentralized finance by 2026. The current phase focuses on refining liquidity reliability, payout automation, and regulatory alignment ahead of the main launch.
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