Highest temperature in Hong Kong on July 13?

Prediction market odds reflect real-money trader conviction and often incorporate meteorological forecasts, historical patterns, and emerging weather models faster than traditional analyst reports. This market aggregates dispersed knowledge from many participants, each risking capital on their temperature prediction. While weather services publish point estimates and confidence intervals, traders here are pricing the probability of specific temperature ranges, creating a dynamic benchmark that updates continuously as new data arrives and the event date approaches.

On Polymarket, this market is priced through an automated market maker that converts trader buy and sell orders into real-time probability quotes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The top outcome currently reflects expectations around whether the highest temperature will reach 27°C or below. As traders deposit capital and adjust positions, the odds shift to reflect changing consensus, with the price always representing the marginal trader's belief about the likelihood of that outcome occurring on the specified date.

This market resolves around Jul 13, 2026, once the highest temperature recorded in Hong Kong on July 13 is verifiable from credible public sources. The outcome is determined by comparing the actual peak temperature reported by official meteorological data against the market's predefined threshold. Once the event concludes and the temperature is confirmed, the market settles automatically, paying out traders who correctly predicted whether the threshold would be met or exceeded.

Major weather pattern shifts, tropical storm systems, or monsoon activity near Hong Kong could significantly move this market. Updated seasonal forecasts, atmospheric pressure anomalies, and real-time meteorological alerts will influence trader positioning. As July 13 approaches, each day's actual weather conditions and updated forecasts narrow uncertainty, typically increasing volatility in the final week. Traders also react to climate indices, ocean temperature data, and any unusual heat events in the region that might signal a hotter-than-average day ahead.