Chicago's highest temperature on April 20 typically ranges from the mid-50s to low-70s Fahrenheit during spring, with considerable day-to-day variability as the season transitions between winter and summer conditions. This prediction market focuses on the narrow band of 62-63°F, requiring the daily high to fall within this specific two-degree range—a level of precision that makes accurate forecasting extremely challenging even for professional meteorologists and weather models. Current market odds at 1% reflect the inherent difficulty of hitting such a precise forecast. Broader temperature ranges would be far more statistically likely given Chicago's typical April weather patterns and the considerable unpredictability of spring weather systems. The market will track the National Weather Service official high temperature for Chicago, with resolution based on the reported daily maximum temperature recorded at a primary weather station serving the metropolitan area. Such granular temperature predictions demonstrate why prediction markets value specificity: the narrower the target range, the lower the probability of successful resolution. April temperature volatility, seasonal weather uncertainty, and the exact two-degree constraint fully explain the very low odds present in this market.