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$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 May 29?
polymarket

Highest temperature in Chengdu on May 29?

Volume:
$54,917

31°C

 - Polymarket

31°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 30, 2026

Closed: May 29, 8:00 AM EST

polymarket

Polymarket

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

31°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$8,170
N/A
N/A
N/A
Settled
Yes
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$15,934
N/A
N/A
N/A
Settled
No
polymarket

33°C or higher

0%
Yes 0¢No 100¢
—
N/A
$8,462
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$5,704
N/A
N/A
N/A
Settled
No
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$5,490
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$4,057
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$3,260
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$2,207
N/A
N/A
N/A
Settled
No
polymarket

25°C

0%
Yes 0¢No 100¢
—
N/A
$1,151
N/A
N/A
N/A
Settled
No
polymarket

24°C

0%
Yes 0¢No 100¢
—
N/A
$278
N/A
N/A
N/A
Settled
No
polymarket

23°C or below

0%
Yes 0¢No 100¢
—
N/A
$204
N/A
N/A
N/A
Settled
No
Total markets: 11

Intro

This market tracks whether the highest temperature recorded in Chengdu on May 29, 2026 will fall within specific degree ranges. On Polymarket, the leading outcome—a high of 29°C—stands at 30.0%, while a high of 30°C carries 26.0% probability. Resolution will be determined by historical temperature data from Wunderground, using readings from Chengdu Shuangliu International Airport Station. Watch the actual weather conditions as May 29, 2026 approaches to gauge whether seasonal patterns and atmospheric conditions align with these temperature thresholds.

Frequently asked questions

The Highest temperature in Chengdu on May 29 dashboard on Polymarket tracks real-time odds and trading activity for temperature outcomes on that specific date. It displays the current probability of each temperature threshold, 24-hour volume of $47,574, and cumulative trading volume of $54,787. The dashboard updates continuously as traders buy and sell shares, reflecting the market's evolving forecast for Chengdu's peak temperature. This live data helps you monitor sentiment shifts and liquidity as the event date approaches.

Prediction market odds on Polymarket for Highest temperature in Chengdu on May 29 reflect real-time trader consensus, which often diverges from traditional weather analyst forecasts. While meteorologists rely on numerical models and historical data, prediction markets incorporate trader beliefs, recent weather patterns, and emerging atmospheric signals. Markets tend to update faster than official forecasts when new information emerges. Comparing Polymarket odds to major weather services and seasonal climate reports can reveal where traders see opportunities or risks that analysts may have underweighted.

The Highest temperature in Chengdu on May 29 market resolves on May 29, 2026. Resolution is determined by the official recorded maximum temperature in Chengdu on May 29, which establishes which outcome contract is correct. The market will settle based on verified meteorological data for that date, ensuring all traders face the same factual reference point. Until resolution, odds will continue to shift as traders update their forecasts based on weather models, seasonal trends, and real-time atmospheric conditions.

Several factors could shift odds for Highest temperature in Chengdu on May 29. Major weather pattern changes—such as monsoon onset timing, tropical cyclone activity, or upper-level atmospheric blocking—can significantly alter temperature forecasts. Updated seasonal climate outlooks and real-time weather model runs will influence trader positioning. As May 29 approaches, short-range forecasts become more reliable and typically trigger larger probability adjustments. Regional heat waves, ocean temperature anomalies, and soil moisture conditions also play roles. Traders will react to each new forecast cycle and any unusual atmospheric developments in the weeks leading up to the event.