TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Shanghai on May 30?
polymarket

Highest temperature in Shanghai on May 30?

Volume:
$188,951

28°C

 - Polymarket

28°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

28°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$29,196
N/A
N/A
N/A
Settled
Yes
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$44,016
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$27,515
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$25,934
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$15,900
N/A
N/A
N/A
Settled
No
polymarket

24°C or below

0%
Yes 0¢No 100¢
—
N/A
$14,516
N/A
N/A
N/A
Settled
No
polymarket

31°C

0%
Yes 0¢No 100¢
—
N/A
$10,365
N/A
N/A
N/A
Settled
No
polymarket

25°C

0%
Yes 0¢No 100¢
—
N/A
$8,660
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$6,441
N/A
N/A
N/A
Settled
No
polymarket

34°C or higher

0%
Yes 0¢No 100¢
—
N/A
$3,383
N/A
N/A
N/A
Settled
No
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$3,025
N/A
N/A
N/A
Settled
No
Total markets: 11

Intro

This market tracks whether Shanghai's highest temperature will reach 27°C on May 30, 2026. On Polymarket, the 27°C outcome is trading at 30.5%, while the 28°C outcome is at 25.5%. Resolution will be determined by the historical weather data from Wunderground, specifically records from Shanghai Pudong International Airport Station. Watch the actual temperature reading on May 30, 2026, as that date will determine which outcome resolves correctly.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the highest temperature forecast in Shanghai on May 30 on Polymarket. It displays current market prices, historical price movements, and $109,628 in 24-hour trading volume across all temperature outcome brackets. The interface updates live as traders buy and sell shares, reflecting the collective prediction of market participants about whether Shanghai will experience specific temperature thresholds on that date. This data helps you monitor shifting sentiment and liquidity as the event approaches.

Prediction market odds on Polymarket reflect real-money consensus from thousands of traders and differ from traditional meteorological forecasts issued by weather agencies and climate analysts. While meteorologists rely on atmospheric models and historical data, prediction markets incorporate forward-looking expectations, recent weather patterns, and trader conviction. Comparing the two reveals whether markets are pricing in more optimistic or pessimistic temperature outcomes than official forecasts suggest. This divergence often highlights uncertainty or emerging consensus about seasonal conditions in Shanghai heading into late May.

The market resolves on May 30, 2026, after the highest temperature recorded in Shanghai on May 30 is officially reported. Resolution is determined by comparing the actual recorded high temperature against the outcome brackets defined in the contract. Once the official measurement is confirmed, the winning outcome is settled and traders receive payouts proportional to their position size. The exact data source and measurement methodology are specified in the market terms at the time of trading.

Several factors could shift market odds before resolution. Major weather pattern changes, such as shifts in monsoon timing or tropical storm activity, would influence temperature expectations. Updated seasonal forecasts from meteorological agencies or climate models showing warmer or cooler trends could trigger repricing. Real-time weather developments in late May, including heat waves or cold fronts approaching East Asia, would drive rapid trading. Additionally, historical anomalies or El Niño updates affecting regional climate could prompt traders to adjust positions as new information emerges closer to the event date.