How Kalshi Modernizes Commodity Resolution with Pyth Pro
How the world’s largest prediction market utilizes Pyth’s first-party data to power 24/7 contract settlement for global physical markets.
Products
Indices
Pyth Pro
Challenge
Traditional commodity markets operate on legacy exchange windows that close at night and on weekends. This creates a structural mismatch for prediction markets, which trade continuously and require 24/7 resolution. For Kalshi, launching a "Commodities Hub" for event contracts tied to gold, crude oil, and agricultural products meant they couldn't rely on 9-to-5 data. They needed a resolution source that was as dynamic and always-on as the global economy itself.
Solution
Kalshi integrated Pyth Pro and Indices as the dedicated resolution source for its Commodities Hub. Pyth’s first-party model aggregates prices directly from firms actively trading the underlying contracts, giving Kalshi a granular, real-time view of global trading activity across gold, silver, Brent crude, natural gas, copper, corn, soybeans, and wheat.
Pyth supports Kalshi’s market makers and retail participants by providing institutional-grade pricing data for continuous contract resolution.
Impact
24/7 Market Integrity: By using Pyth, Kalshi can support accurate and transparent contract resolution at any hour of the day, including outside traditional exchange hours.
Institutional Standard: The collaboration establishes a new benchmark for prediction market infrastructure, moving away from ad hoc or manual resolution toward automated, source-driven data.
Scalable Asset Coverage: The integration provides a blueprint for Kalshi to expand beyond commodities into equities, FX, and indices, using a single, unified data layer that is already trusted by the world's largest financial institutions.
Success Stories
Prediction Markets
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RWAs
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Structured Products
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DEX
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DEX
How dYdX Powers Always-On Derivatives with Pyth Indices
CEX
