- Kalshi has launched a new Commodities Hub for markets tied to assets like gold, oil, and lithium
- Pyth will provide the price data used to resolve many of these markets
- The move expands prediction markets further into commodities trading
- It also shows how 24/7 crypto-style infrastructure is reshaping access to traditional markets
Kalshi Expands Into Commodity-Based Markets
Kalshi has launched a new Commodities Hub, giving users a way to trade event-style markets tied to assets such as oil, gold, lithium, and soybeans.
Instead of buying the commodity itself, users are making above-or-below predictions around specific price targets. This turns commodity exposure into a simpler, binary-style product that can be easier for retail participants to understand.
Pyth Will Power Key Price Data
To support the new hub, Kalshi has selected Pyth as a data provider. Pyth will serve as a resolution source for these markets, supplying the pricing information needed to determine outcomes.
That matters because these products depend heavily on timely and reliable data. Pyth says it aggregates price feeds from more than 125 institutions, including exchanges and market makers, helping create a 24/7 stream of pricing data.
Why This Matters for Traders
Traditional commodity markets usually follow fixed exchange hours during the week. But global events do not stop when exchanges close. Oil, metals, and agricultural products can all react to political developments, supply shocks, or macro headlines at any hour.
Prediction markets and crypto-based infrastructure are creating new ways for traders to gain exposure outside those normal hours. Kalshi’s Commodities Hub is part of that shift.
Competition in Prediction Markets Is Heating Up
The launch also comes as Kalshi and Polymarket continue competing across new market categories, data partnerships, and growth. Both platforms are trying to become bigger destinations not just for politics and news events, but also for financial and commodity-related trading.
That expansion is bringing more attention, but also more regulatory pressure, as lawmakers and regulators debate where prediction markets fit and how far they should be allowed to go.
