Singapore's maximum temperature on May 17 is the focus of this market group, which brings together four distinct prediction markets that segment the possible outcomes into specific temperature ranges. These markets represent the collective forecasting of thousands of participants estimating what the highest temperature will reach during that day in Singapore's equatorial climate. Rather than a simple binary outcome, this event features a graduated set of price points—markets for exactly 23°C or below, 24°C, 25°C, and 26°C—allowing participants to express their expectations with granular precision. By examining the pricing across these related markets, you can construct a detailed probability distribution of expected temperatures, revealing not just whether observers think the day will be hot, but exactly how hot they collectively anticipate it to be. The interconnected nature of these markets creates natural relationships: if the market for 23°C or below trades at 15%, that implies a roughly 85% probability of exceeding that threshold. Similarly, comparing the prices of adjacent temperature ranges—such as the 24°C and 25°C markets—reveals the market's confidence in specific temperature bands. These markets are particularly useful for understanding consensus expectations around weather events, where precision matters. Weather forecasting, while increasingly sophisticated, remains probabilistic; these markets aggregate real-time judgments from participants with varying levels of expertise and information access. As May 17 approaches, you'll observe how the prices evolve in response to updated meteorological forecasts, seasonal patterns, and recent atmospheric data. For observers new to prediction markets, this temperature event offers an accessible introduction to how markets price uncertain future events.