TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Guangzhou on May 30?
polymarket

Highest temperature in Guangzhou on May 30?

Volume:
$71,622

36°C

 - Polymarket

36°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 31, 2026

Closed: May 30, 8:00 AM EST

polymarket

Polymarket

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

36°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$7,400
N/A
N/A
N/A
Settled
Yes
polymarket

38°C or higher

0%
Yes 0¢No 100¢
—
N/A
$14,834
N/A
N/A
N/A
Settled
No
polymarket

37°C

0%
Yes 0¢No 100¢
—
N/A
$11,234
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$10,963
N/A
N/A
N/A
Settled
No
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$5,679
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$4,932
N/A
N/A
N/A
Settled
No
polymarket

31°C

0%
Yes 0¢No 100¢
—
N/A
$4,686
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$4,410
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$3,847
N/A
N/A
N/A
Settled
No
polymarket

28°C or below

0%
Yes 0¢No 100¢
—
N/A
$2,797
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$840
N/A
N/A
N/A
Settled
No
Total markets: 11

Intro

This market tracks whether the highest temperature recorded in Guangzhou on May 30, 2026 will reach 33°C or fall to 32°C. On Polymarket, the 33°C outcome is trading at 29.5%, while the 32°C outcome is at 26.0%. Resolution will be determined by historical temperature data from Weather Underground, using official readings from Guangzhou Baiyun International Airport Station. Watch the actual weather patterns and seasonal forecasts as May 30, 2026 approaches to gauge whether typical late-spring temperatures in Guangzhou will trend toward the higher or lower end of these outcomes.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the highest temperature prediction in Guangzhou on May 30 on Polymarket. You can monitor the current probability of each temperature outcome, view the price history of top contracts, and observe 24-hour trading volume of $53,434. The dashboard displays the leading outcome and its implied chance, helping traders stay informed on how the market is pricing this weather event as the resolution date approaches.

Prediction market odds on Polymarket reflect real-time trader sentiment and aggregate information about Guangzhou's expected weather on May 30. Unlike static analyst forecasts, market prices adjust continuously as new meteorological data, seasonal patterns, and climate models emerge. Comparing market-implied probabilities to traditional weather forecasts from meteorological agencies can reveal where traders see divergence from official predictions, offering insight into tail-risk pricing and market confidence in specific temperature ranges.

The market resolves on May 30, 2026, after the highest temperature in Guangzhou on May 30 has been recorded. The outcome is determined by official temperature data from recognized meteorological sources for that specific date and location. Once the actual high temperature is confirmed, the contract corresponding to the correct outcome is settled at full value, and all other outcomes expire worthless. Traders should monitor official weather station reports as the resolution date approaches.

Several factors could shift market odds before resolution. Updated seasonal weather forecasts and long-range climate models will influence trader expectations. Major weather patterns, such as monsoon onset timing or tropical systems affecting southern China, could trigger significant repricing. Real-time meteorological alerts and anomalies in late May will drive late trading. Additionally, historical temperature data and comparisons to prior May 30 highs in Guangzhou may prompt adjustments as traders refine their probability estimates closer to the event date.