TOTAL VOLUME:

$61.9b

24H VOL:

$249,705,498

24H TRANSACTIONS:

600,069,390

OPEN INTEREST:

$1,354,509,605

579,516

Markets across

14,317

events

MATCHED EVENTS:

4,116

PLATFORM COVERAGE:

4

Polymarket:

50%

VS.

Kalshi:

50%

BETA
Highest temperature in Hong Kong on June 9?

Highest temperature in Hong Kong on June 9? Odds & Prediction Markets

Volume:
$341,920
PredictionHero
27°C 0%
polymarket
28°C 100%
polymarket
29°C 0%
polymarket
Jun 7Jun 7Jun 7Jun 7Jun 7Jun 7Jun 7Jun 8Jun 8Jun 8Jun 8Jun 8Jun 8Jun 8Jun 8Jun 9Jun 9Jun 9Jun 9Jun 9Jun 9Jun 9Jun 10020406080100

Closed: Jun 9, 8:00 AM EST

polymarket

Polymarket

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Description

This market will resolve to the temperature range that contains the highest temperature recorded by the Hong Kong Observatory in degrees Celsius on 9 Jun '26. The resolution source for this market will be information from the Hong Kong Observatory, specifically the "Absolute Daily Max (deg. C)" the specified date once information is finalized in the relevant "Daily Extract", available here: https://www.weather.gov.hk/en/cis/climat.htm This market can not resolve until data for this date has been published. The resolution source for this market measures temperatures in Celsius to one decimal place (eg, 9.1°C). Thus, this is the level of precision that will be used when resolving the market. Any revisions to temperatures recorded after data is initially published for this market's timeframe will not be considered for this market's resolution.

Created at:Jun 7, 2026, 4:51 AM GMT
Updated at:Jun 10, 2026, 3:19 AM GMT
Event ID:568044

Frequently asked questions

The Odds & Prediction Markets dashboard on Polymarket tracks real-time odds and historical price movements for the highest temperature recorded in Hong Kong on June 9. The dashboard displays current implied probabilities for each temperature outcome, 24-hour trading volume of $217,735, and cumulative group volume of $341,919. You can monitor how market sentiment shifts as the event date approaches, view the top-weighted outcome, and analyze price history to understand how traders are positioning around this weather event.

Prediction market odds on Polymarket reflect aggregated trader beliefs about Hong Kong's peak temperature on June 9, often incorporating real-time weather data and seasonal patterns. Analyst forecasts from meteorological services typically rely on deterministic climate models and historical June averages for Hong Kong. Market odds tend to update faster than traditional forecasts as new weather systems develop, while analysts may offer more detailed confidence intervals. Comparing the two reveals whether traders are pricing in tail risks or unusual weather patterns that formal forecasts may underweight.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Hong Kong on June 9 is priced through a set of discrete outcome contracts, each representing a specific temperature range or exact value. Traders buy and sell shares in each outcome, with the price of a share reflecting the market's implied probability that outcome will occur. As traders adjust positions based on weather forecasts, seasonal data, and real-time atmospheric conditions, prices shift continuously. The outcome with the highest share price represents the market's leading expectation for that day's peak temperature.

The market resolves on Jun 9, 2026, after June 9 has concluded and the highest temperature recorded in Hong Kong that day is confirmed. Resolution is determined by official temperature data from Hong Kong's meteorological authority or designated reference source. The outcome contract matching the recorded high temperature resolves to 100 cents, while all other contracts resolve to zero. This ensures traders' positions settle based on the actual observed weather event rather than forecasts or estimates.

Several factors could shift market odds for Hong Kong's June 9 high temperature. Tropical weather systems, monsoon patterns, or typhoon activity in the region would significantly alter expectations. Updated seasonal forecasts from meteorological agencies and real-time atmospheric pressure changes typically trigger repricing. Historical anomalies or climate oscillations like El Niño or La Niña conditions influence long-term temperature trends. As June 9 approaches, daily weather updates and short-range forecasts become primary drivers. Urban heat island effects and pollution levels in Hong Kong may also influence final temperature readings and trader positioning.

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PredictionHero © 2026 · v0.15.0PredictionHero provides aggregated market data and informational signals only. Nothing on this site constitutes financial, legal, or investment advice. Markets are volatile and speculative. Past performance does not guarantee future results. Always do your own research and consult qualified professionals before making decisions involving risk.