Prediction markets could reach $1T by 2030, but one bad settlement price can break trust fast. For $PYTH, the Polymarket update is a strong proof point: Pyth Pro is becoming part of the data layer prediction markets need when real money depends on the outcome. For $HYPE traders, the setup is easy to understand. Perps proved that 24/7 markets can attract serious volume. Prediction markets may be the next category to follow that path, but instead of liquidations and funding, the key question is settlement. The growth is already visible. Prediction market volume reached around $51B in 2025. Kalshi and Polymarket had already recorded roughly $60B combined volume in the first months of 2026. Bernstein estimates the category could reach about $240B in 2026 and nearly $1T by 2030. That kind of scale needs better market data. Polymarket uses Pyth Pro as a data source for traditional-asset prediction markets across gold, silver, US equities and major ETFs. Users can see the “price to beat” while the market is live, then independently check Pyth Terminal for live feeds and historical prices. That matters because a prediction market is only as credible as the data used to resolve it. If a market asks whether Tesla, Nvidia, gold or QQQ crossed a level, traders need to know which price counted, where it came from, when it was sampled and whether the source can be verified. Pyth Pro helps solve that with real-time data contributed directly by institutional publishers, including firms like Jump Trading and Jane Street, through one setup across commodities, equities and ETFs. My read: prediction markets are moving from viral questions into financial infrastructure. Polymarket using Pyth Pro shows Pyth already sitting inside that shift. #Altcoin Season# #RWA