Lowest temperature in Hong Kong on June 4?

Prediction market odds on Polymarket reflect real-money consensus from traders worldwide, often incorporating meteorological forecasts and historical climate data. Traditional weather analysts and climate services publish point estimates and confidence intervals for Hong Kong's June 4 low temperature based on seasonal patterns and atmospheric models. Market odds tend to aggregate dispersed information faster than single-source forecasts, though both approaches can diverge when new weather systems emerge or historical analogs prove unreliable. Comparing the two reveals whether traders are pricing in tail risks that analysts underweight.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the lowest temperature in Hong Kong on June 4 is priced through outcome contracts tied to specific temperature ranges or thresholds. Each outcome contract trades independently, with its price reflecting the market's implied probability of that temperature band occurring. Traders buy and sell shares to express their views on Hong Kong's weather, and the order book aggregates supply and demand across all temperature brackets. Prices update continuously as new information arrives and trading volume fluctuates.

The market resolves on Jun 4, 2026, after the close of June 4 in Hong Kong. Resolution is determined by the official lowest temperature recorded on that date, typically sourced from Hong Kong's meteorological authority or a pre-specified weather station. Once the final temperature is confirmed, the outcome contract corresponding to the actual low temperature is settled at full value, and all other outcomes expire worthless. This ensures that payouts reflect the real-world weather event that occurred.

Major weather pattern shifts—such as tropical cyclones, monsoon onset, or cold fronts—can significantly alter Hong Kong's June 4 low temperature and move market odds. Updated seasonal forecasts from meteorological agencies, historical analogues to past June weather, and real-time atmospheric data releases will influence trader positioning. As June 4 approaches, short-range weather models become more reliable, often triggering sharp repricing. Additionally, any unusual climate anomalies or El Niño/La Niña developments affecting East Asia could shift expectations for the region's temperature range.