TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

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39%

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Highest temperature in Qingdao on July 9?
polymarket

Highest temperature in Qingdao on July 9?

Volume:
$133,080

28°C

 - Polymarket

28°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 9, 2026

Closed: Jul 9, 8:00 AM EST

polymarket

Polymarket

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

28°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$31,871
N/A
N/A
N/A
Settled
Yes
polymarket

31°C or higher

0%
Yes 0¢No 100¢
—
N/A
$27,007
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$18,411
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$17,916
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$13,530
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$9,239
N/A
N/A
N/A
Settled
No
polymarket

25°C

0%
Yes 0¢No 100¢
—
N/A
$5,134
N/A
N/A
N/A
Settled
No
polymarket

24°C

0%
Yes 0¢No 100¢
—
N/A
$3,770
N/A
N/A
N/A
Settled
No
polymarket

21°C or below

0%
Yes 0¢No 100¢
—
N/A
$2,703
N/A
N/A
N/A
Settled
No
polymarket

23°C

0%
Yes 0¢No 100¢
—
N/A
$1,880
N/A
N/A
N/A
Settled
No
polymarket

22°C

0%
Yes 0¢No 100¢
—
N/A
$1,619
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 9 Jul '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 9 Jul '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 predictions on the highest temperature in Qingdao on July 9. Traders on this platform continuously update their positions based on weather forecasts and incoming data, creating a live probability estimate. The dashboard shows the current market price, which reflects the collective belief of participants about whether the day's peak temperature will reach specific thresholds. You can monitor how sentiment shifts as new meteorological information becomes available leading up to the event date.

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader positioning and incentivize accuracy through financial stakes. While meteorologists publish deterministic temperature ranges based on atmospheric models, this market aggregates the distributed knowledge of participants who profit only if their prediction proves correct. Comparing the current odds to official forecasts from China's meteorological authority or international weather services can reveal where the market is pricing in additional uncertainty or confidence. These differences highlight how markets sometimes detect signals that conventional forecasts may underweight or overweight.

This market resolves around Jul 9, 2026, once the highest temperature recorded in Qingdao on July 9 can be verified against credible public sources. The outcome is determined by the actual meteorological data reported for that date, typically from China's national weather service or recognized international monitoring stations. Resolution occurs after the day concludes and official temperature records are finalized. Traders' positions settle based on whether the verified high temperature matches the outcome they backed.

Major weather pattern shifts, tropical cyclone activity, or significant atmospheric pressure changes over East Asia could substantially move this market. Updated seasonal forecasts, extended-range weather models, or sudden shifts in the jet stream may trigger repricing as traders reassess temperature probabilities. Real-time weather alerts and short-term model updates in the days immediately before July 9 typically drive the most volatile price movements. Additionally, any anomalies in historical temperature data or revisions to baseline climate normals for Qingdao could influence how traders calibrate their predictions relative to typical July conditions.