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:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
Highest temperature in Qingdao on June 26?
polymarket

Highest temperature in Qingdao on June 26?

Volume:
$110,600

30°C

 - Polymarket

30°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 26, 2026

Closed: Jun 26, 8:00 AM EST

polymarket

Polymarket

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

30°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$12,675
N/A
N/A
N/A
Settled
Yes
polymarket

22°C or below

View
0%
Yes 0¢No 100¢
—
N/A
$32,464
N/A
N/A
N/A
Settled
No
polymarket

32°C or higher

View
0%
Yes 0¢No 100¢
—
N/A
$15,121
N/A
N/A
N/A
Settled
No
polymarket

31°C

View
0%
Yes 0¢No 100¢
—
N/A
$10,399
N/A
N/A
N/A
Settled
No
polymarket

23°C

View
0%
Yes 0¢No 100¢
—
N/A
$9,519
N/A
N/A
N/A
Settled
No
polymarket

29°C

View
0%
Yes 0¢No 100¢
—
N/A
$9,012
N/A
N/A
N/A
Settled
No
polymarket

28°C

View
0%
Yes 0¢No 100¢
—
N/A
$5,581
N/A
N/A
N/A
Settled
No
polymarket

25°C

View
0%
Yes 0¢No 100¢
—
N/A
$4,606
N/A
N/A
N/A
Settled
No
polymarket

27°C

View
0%
Yes 0¢No 100¢
—
N/A
$4,096
N/A
N/A
N/A
Settled
No
polymarket

26°C

View
0%
Yes 0¢No 100¢
—
N/A
$3,736
N/A
N/A
N/A
Settled
No
polymarket

24°C

View
0%
Yes 0¢No 100¢
—
N/A
$3,392
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 at the Qingdao Jiaodong International Airport Station in degrees Celsius on 26 Jun '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Qingdao Jiaodong International Airport Station, available here: https://www.wunderground.com/history/daily/cn/qingdao/ZSQD. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.

Polymarket

This market will resolve to the temperature range that contains the highest temperature recorded at the Qingdao Jiaodong International Airport Station in degrees Celsius on 26 Jun '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Qingdao Jiaodong International Airport Station, available here: https://www.wunderground.com/history/daily/cn/qingdao/ZSQD. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.

Frequently asked questions

On Polymarket, the Qingdao temperature market dashboard displays real-time odds and historical price movements for whether the highest temperature in Qingdao will reach or fall below specific thresholds on June 26. The interface shows current trading activity, 24-hour volume of $51,187, and cumulative liquidity across all outcome contracts. Traders use this data to monitor consensus expectations as the event date approaches. The dashboard helps participants track how market sentiment shifts in response to weather forecasts and seasonal patterns affecting coastal China.

Prediction market odds reflect real-money consensus from traders worldwide, often incorporating meteorological forecasts and historical temperature data faster than traditional analyst reports. While weather services publish point estimates and confidence intervals, this market aggregates dispersed information through price discovery. Traders betting on cooler or warmer outcomes embed their interpretation of seasonal norms, atmospheric conditions, and model uncertainty into the odds. When analyst forecasts shift, market prices typically adjust within hours, making them a complementary signal to conventional meteorological guidance for June 26 conditions in Qingdao.

This market resolves around Jun 26, 2026, once the highest temperature recorded in Qingdao on June 26 is verified against credible public sources. The outcome is determined by comparing the official daily maximum temperature to the threshold specified in the contract. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. Resolution typically occurs within 24 to 48 hours after the event, allowing time for data confirmation and platform settlement processing.

Updated weather models and seasonal forecasts are the primary drivers of price movement in this market. Tropical storm systems, shifts in monsoon patterns, or anomalous atmospheric pressure could significantly alter temperature expectations for coastal Qingdao. Historical temperature records and long-range climate outlooks also influence trader positioning. As June 26 approaches, near-term meteorological data—including satellite imagery, upper-air patterns, and regional weather alerts—will likely trigger sharp repricing. Real-time temperature readings on the day itself may cause final adjustments minutes before market close.