Daily Temperature prediction markets track real-world temperature outcomes at specific locations worldwide. These markets enable participants to engage with weather forecasting through price discovery, exploring how various factors influence temperature patterns across different regions and time periods. Common markets in this category include questions about daily high temperatures in major cities. Examples include 'Will the highest temperature in Tokyo be 15°C or below?' and 'Will the highest temperature in Wellington reach 11°C?' Markets typically ask whether the highest temperature will fall within specific ranges or equal particular values. Several factors influence prices in daily temperature markets. Official meteorological forecasts provide baseline expectations, and market prices often reflect the aggregate forecast confidence of the broader community. Seasonal patterns are significant; typical temperature ranges vary considerably by location and time of year. Real-time weather data—including current conditions, atmospheric pressure, humidity, and wind patterns—can shift market prices as fresh information emerges. Large-scale climate patterns like El Niño/La Niña cycles may influence temperature expectations, particularly for longer-term forecasts. Local geography, including elevation, proximity to water bodies, and urban heat effects, creates distinct temperature profiles for each city. Market participants use this price discovery mechanism to express their views on upcoming weather conditions. Prices transparently reflect both meteorological consensus and market participants' assessments of forecast uncertainty. For those interested in weather outcomes, these markets provide real-time indicators of community expectations around global daily temperatures.