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%

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Highest temperature in Chengdu on June 4?
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Highest temperature in Chengdu on June 4?

Volume:
$106,776

32°C

 - Polymarket

32°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 4, 2026

Closed: Jun 4, 8:00 AM EST

polymarket

Polymarket

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

32°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$14,662
N/A
N/A
N/A
Settled
Yes
polymarket

31°C

0%
Yes 0¢No 100¢
—
N/A
$24,249
N/A
N/A
N/A
Settled
No
polymarket

30°C or below

0%
Yes 0¢No 100¢
—
N/A
$23,071
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$8,743
N/A
N/A
N/A
Settled
No
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$8,231
N/A
N/A
N/A
Settled
No
polymarket

36°C

0%
Yes 0¢No 100¢
—
N/A
$8,219
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$7,518
N/A
N/A
N/A
Settled
No
polymarket

37°C

0%
Yes 0¢No 100¢
—
N/A
$6,411
N/A
N/A
N/A
Settled
No
polymarket

38°C

0%
Yes 0¢No 100¢
—
N/A
$2,574
N/A
N/A
N/A
Settled
No
polymarket

39°C

0%
Yes 0¢No 100¢
—
N/A
$2,158
N/A
N/A
N/A
Settled
No
polymarket

40°C or higher

0%
Yes 0¢No 100¢
—
N/A
$940
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 Chengdu Shuangliu International Airport Station in degrees Celsius on 4 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 Chengdu Shuangliu International Airport Station, available here: https://www.wunderground.com/history/daily/cn/chengdu/ZUUU. 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

The Odds & Prediction Markets dashboard on Polymarket tracks real-time odds and historical price movements for the highest temperature recorded in Chengdu on June 4. The dashboard displays current market probability, 24-hour trading volume of $97,199, and cumulative group volume of $106,772. Users can monitor how odds shift as new weather data and forecasts emerge, view the outcome with the strongest market conviction, and analyze trading activity to gauge participant confidence in specific temperature ranges.

Prediction market odds on Polymarket reflect real-money consensus among traders and often diverge from traditional meteorological forecasts. While weather analysts issue deterministic temperature predictions based on atmospheric models, prediction markets aggregate distributed beliefs across many participants with financial incentives to be accurate. Comparing Polymarket odds to official forecasts from China Meteorological Administration or regional weather bureaus can reveal whether traders expect conditions warmer, cooler, or aligned with expert consensus for Chengdu on June 4.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Chengdu on June 4 is priced as outcome shares reflecting the probability traders assign to specific temperature thresholds or ranges. Each outcome contract trades independently, with prices ranging from 0 to 1 (or 0–100 cents), where higher prices indicate greater market confidence. Prices adjust continuously as traders buy and sell shares based on updated weather models, seasonal patterns, and real-time atmospheric conditions leading up to June 4.

Key signals include updated seasonal weather forecasts, atmospheric pressure systems, monsoon activity, and historical temperature patterns for early June in Chengdu. Major weather events such as tropical storms, cold fronts, or heat waves across central China could shift trader expectations significantly. Real-time meteorological data releases, changes in long-range climate models, and anomalies in regional air circulation patterns will influence market odds as June 4 approaches. Urban heat island effects and local pollution levels may also factor into trader assessments.