Jupiter prediction market is live in beta on Solana. The beta opens with one market on the Mexico Grand Prix winner. Kalshi supplies liquidity for the Jupiter prediction market.
Jupiter prediction market uses clear caps. The beta sets a global maximum of 100,000 contracts. It also restricts individual positions to 1,000 contracts. These limits keep the first phase simple.
Early trading crossed $120,000 in volume. Max Verstappen led the Jupiter prediction market odds. Lando Norris followed as the second most-picked driver. The Mexico Grand Prix gives a near-term settlement for the beta.
Jupiter prediction market aims for Q4 full launch on Solana
Jupiter prediction market targets a full launch in Q4. The team said it will add more markets during the quarter. It will also raise limits as feedback arrives.
Kash Dhanda, chief operating officer at Jupiter Exchange, explained the direction.
“Prediction Markets represent a powerful evolution in the types of assets that are available on-chain, and we’re thrilled to partner with Kalshi to bring them to Solana,”
he said. The quote places Kalshi and Solana at the center of the rollout.
Dhanda added a timeline for the Jupiter prediction market.
“We’ll keep iterating on the product and increasing limits in line with feedback we receive—more markets will be added and we’ll be gearing up for a full launch in Q4 itself,”
he said. The statements clarify the plan and the calendar.
How the Jupiter prediction market beta works today
The Jupiter prediction market sells event contracts. Each contract trades between $0 and $1. Winning contracts pay $1 at settlement, while losing ones pay $0.
The first Jupiter prediction market event covers the Mexico Grand Prix. Users pick a driver and buy contracts. They can also exit before the event settles. Kalshi handles liquidity so the order book stays active.
Contract caps shape risk in the Jupiter prediction market. The 100,000 global cap and 1,000 per-position limit define exposure. The structure helps monitor order flow and settlement before scale-up on Solana.
Why Jupiter prediction market partners with Kalshi
Kalshi brings regulated event-market expertise. It also brings liquidity that supports tight spreads. That reduces friction for the Jupiter prediction market on Solana.
Jupiter prediction market aligns with the platform’s multi-product strategy. Users can access swaps, launchpad tools, and event contracts in one place. The single entry point can reduce switching costs across products.
JUP token holders stand in the background of this plan. Dhanda linked cross-product activity with revenue. He said growth across products benefits JUP token holders over time. The Jupiter prediction market sits inside that stack.
Prediction markets momentum: Polymarket and Kalshi funding
Prediction markets are scaling fast. Weekly trading volume across platforms hit $2.03 billion for the week ended Oct. 13. That backdrop matters for the Jupiter prediction market launch on Solana.
Intercontinental Exchange (ICE), the NYSE parent, invested $2 billion in Polymarket. Reports valued Polymarket at $9 billion after the deal. The investment highlights institutional interest in prediction markets.
Kalshi raised $300 million in a Series D round. Reports valued Kalshi at $5 billion. Backers included Sequoia Capital, Andreessen Horowitz, Paradigm, CapitalG, Coinbase Ventures, General Catalyst, and Spark Capital. The funding adds further weight to the prediction markets category.
Jupiter prediction market mechanics, users, and data
Jupiter prediction market runs on Solana for speed and cost efficiency. Kalshi provides liquidity to support fills. The design targets low latency and high throughput.
The inaugural Jupiter prediction market offers public odds. Max Verstappen led early picks. Lando Norris held the second spot. The Mexico Grand Prix delivers a clean, verifiable result for settlement.
Jupiter prediction market remains in beta while the team adds markets. The roadmap says Q4 for the full launch on Solana. Limits and market count will rise in line with user feedback. The structure keeps the focus on data and execution.