A $1T prediction market can break on one bad settlement price. Pyth Pro is already solving that problem for Kalshi, Polymarket and Jupiter Predicts, which is why I’m bullish on Pyth’s role in the next stage of real-world markets. For $HBAR and $AVAX traders, this is the trust layer conversation moving from enterprise decks into live market structure. Prediction markets are no longer only politics and sports. They now touch gold, oil, rates, inflation, equities, ETFs, crypto and macro events that people trade around the clock. Bernstein’s estimate has annual prediction-market volume reaching about $1T by 2030. That kind of volume makes resolution infrastructure a serious bottleneck. If a contract asks whether gold closes above $3,500, the market needs more than a chart. It needs the exact reference price, source, timestamp and resolution logic that decides who gets paid. Kalshi uses Pyth Pro as the resolution source for its Commodities Hub across gold, silver, Brent crude, natural gas, copper, corn, soybeans and wheat. Polymarket uses Pyth Pro for traditional-asset markets with real-time streaming prices. Jupiter Predicts uses Pyth Pro for BTC and SPCX markets. That is the signal I care about. Pyth is becoming the data layer behind prediction markets that need prices people can verify, not argue about later. As prediction markets expand into more assets, the winner will be the venue that settles clearly. And clear settlement starts with reliable market data. #Altcoin Season# #RWA