TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

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Kalshi:

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Highest temperature in Hong Kong on July 8?
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Highest temperature in Hong Kong on July 8?

Volume:
$214,617

31°C

 - Polymarket

31°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 9, 2026

Closed: Jul 8, 8:00 AM EST

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Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

31°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$45,039
N/A
N/A
N/A
Settled
Yes
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$33,076
N/A
N/A
N/A
Settled
No
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$26,901
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$25,849
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$25,396
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$15,577
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$12,639
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$12,498
N/A
N/A
N/A
Settled
No
polymarket

25°C or below

0%
Yes 0¢No 100¢
—
N/A
$6,729
N/A
N/A
N/A
Settled
No
polymarket

35°C or higher

0%
Yes 0¢No 100¢
—
N/A
$6,140
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$4,772
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This market will resolve to the temperature range that contains the highest temperature recorded by the Hong Kong Observatory in degrees Celsius on 8 Jul '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.

Polymarket

This market will resolve to the temperature range that contains the highest temperature recorded by the Hong Kong Observatory in degrees Celsius on 8 Jul '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.

Frequently asked questions

On Polymarket, the Hong Kong temperature market dashboard tracks real-time odds and historical price movements for the highest temperature forecast in Hong Kong on July 8. The interface displays current trader positions, 24-hour volume activity, and outcome probabilities as participants buy and sell shares tied to specific temperature ranges. This live data reflects the collective prediction of the market, updated continuously as new information and trading activity flow in. The dashboard also shows historical charts so you can monitor how sentiment and odds have shifted over time.

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader behavior, breaking news, and market incentives. While meteorologists publish deterministic forecasts based on atmospheric models, this market aggregates the beliefs of many participants with financial skin in the game. Traders may price in tail risks or consensus shifts faster than official updates. Comparing the implied probability here to published forecasts from Hong Kong's Observatory or regional weather services can reveal where the crowd sees upside or downside relative to expert consensus.

On Polymarket, traders set the odds by buying and selling outcome shares in an automated market maker (AMM) pool. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome—representing a specific temperature range—has a price between 0 and 1 cent, where the price reflects the probability traders assign to that outcome occurring. As demand shifts, prices adjust automatically. You profit by buying low and selling high, or by holding shares until resolution. The market's price discovery is continuous, meaning odds can move sharply if new weather data or model updates emerge.

This market resolves around Jul 8, 2026, once July 8 has passed and the highest temperature recorded in Hong Kong that day is verified. The outcome is confirmed against credible public sources, such as official meteorological records or established weather databases. Whichever outcome bracket matches the recorded high temperature will be marked correct, and traders holding shares in that outcome receive their payout. All other outcomes expire worthless.

Major weather model updates, tropical storm warnings, or shifts in the monsoon pattern could trigger sharp moves in this market. If forecasters issue heat alerts or revise their outlook significantly, traders may reprrice the odds upward or downward. Real-time atmospheric pressure changes, upper-level wind patterns, and sea-surface temperatures in the South China Sea also influence Hong Kong's daily highs. Breaking news about unusual weather systems, as well as historical temperature comparisons for the same date, often spark trading activity. Close to July 8, early morning satellite imagery and live weather station data will likely drive final positioning.