Austin's high temperature on May 18 is the focus of this event, with three linked prediction markets that together capture the full forecast spectrum. Rather than trading on a single outcome, these three markets divide the temperature forecast into narrow ranges—72–73°F, 74–75°F, and 76–77°F—allowing traders to express precise views about where the day's high will land. By grouping these markets together, participants can see the complete probability distribution at a glance, recognizing that exactly one of these ranges will contain Austin's actual high temperature. When analyzing these linked markets, the relative prices and liquidity across the three ranges reveal where market participants expect the highest probability. Markets with tighter bid-ask spreads and higher trading volume typically reflect stronger consensus, while wider spreads may indicate lingering uncertainty. Compare the implied probabilities of each range by examining their prices: a range trading at 30¢ implies roughly a 30% probability, making it easy to see whether the market expects a cooler day (favoring 72–73°F), a moderate day (74–75°F), or a warmer day (76–77°F). As May 18 approaches, watch for probability shifts across the ranges in response to updated weather forecasts and real-time conditions. The relative strength of trading activity—which range is drawing the most new orders—often serves as an early signal of shifting consensus. These temperature markets exemplify how prediction markets efficiently aggregate dispersed information, turning individual forecasts into dynamic probability distributions that update in real time.