Will the highest temperature in Hong Kong be 24°C or below on July 28?

What is happening now

The market highest-temperature-in-hong-kong-on-july-28-2026 is a trending Polymarket contract that will settle on 28 July 2026 at 12:00 UTC. Resolution depends on the “Absolute Daily Max” temperature published by the Hong Kong Observatory in its Daily Extract. The market cannot resolve until that data is released, which is expected after the date passes. As of the latest update (18:32 UTC, 28 July 2026), the contract is in a pending‑resolution state, with a total liquidity of roughly $169 k and 24‑hour volume near $223 k. The “No” outcome – meaning the highest temperature will exceed 24 °C – trades at 0.9995, giving it a 99.95 % implied probability, while the “Yes” outcome (≤ 24 °C) sits at 0.0005 (0.05 %). The market is effectively pricing a near‑certain event.

How the market is structured

This is a binary market with two mutually exclusive outcomes: “Yes” (temperature ≤ 24 °C) and “No” (temperature > 24 °C). The contract uses a price‑range design where the “Yes” side is priced at 0.0005 and the “No” side at 0.9995. Although Polymarket lists separate markets for each integer threshold (25 °C, 26 °C, …, 34 °C), the primary market that determines the overall resolution is the 24 °C or below question. The market is marked “expired_pending_resolution,” meaning it is closed to new orders but will settle once the official temperature is published. The resolution source is the Hong Kong Observatory’s Daily Extract, which records temperatures to one decimal place.

Path to the leading outcome

For the “No” outcome to win, the observed maximum temperature on 28 July 2026 must be above 24 °C. Historical climate data for Hong Kong show that July daily highs routinely sit between 30 °C and 33 °C, with record July maxima exceeding 36 °C (Hong Kong Observatory annual summaries, 2023 https://www.hko.gov.hk/en/climate/annual_summary_2023.htm). Even under conservative climate projections, a July day in Hong Kong is extremely unlikely to dip to 24 °C or below. Consequently, the market’s pricing reflects the near‑certainty that the temperature will exceed the 24 °C threshold, making “No” the clear leader.

What could change the pricing

• Unusual cold front: If a rare cold air mass drives the daily maximum down to 24 °C or lower on 28 July 2026, the “Yes” outcome would trigger, causing the “Yes” price to surge toward 1.0 and the “No” price to collapse.
• Data revision policy: The resolution rules state that any post‑publication revisions to the temperature will not be considered, so only the first published value matters. A clerical error in the Observatory’s Daily Extract could theoretically flip the outcome, but such errors are rare.
• Forecast anomalies: Seasonal forecasts released months in advance occasionally hint at cooler-than‑normal periods. A credible forecast showing a July 28 high near 23 °C would likely move market participants toward the “Yes” side, nudging the price upward.

At present, no such conditions have been observed in publicly available climate outlooks, so the market remains heavily weighted toward “No.”

Editorial read

Current research, combined with the market’s structure, shows a clear consensus: the contract is pricing a near‑certain event – a July 28 high above 24 °C – with the “No” side trading at 0.9995. The massive liquidity and volume indicate that participants have already priced in decades of climatology that keep Hong Kong’s July temperatures well above the 24 °C mark. The only realistic path for the market to shift would be an unprecedented cold snap or a data‑publishing anomaly, both of which appear unlikely given historical patterns and the absence of any forecasted cool spell. Traders should note that the market will close automatically once the Hong Kong Observatory releases its Daily Extract, at which point the outcome will be immutable. Until then, the price reflects a tiny speculative premium on an extremely low‑probability “Yes” outcome, making the market a straightforward illustration of how real‑world weather data can be tokenized and traded.