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

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Paris on May 30?
polymarket

Highest temperature in Paris on May 30?

Volume:
$110,587

33°C

 - Polymarket

33°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

33°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$23,985
N/A
N/A
N/A
Settled
Yes
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$24,900
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$19,030
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$11,562
N/A
N/A
N/A
Settled
No
polymarket

31°C

0%
Yes 0¢No 100¢
—
N/A
$9,897
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$8,280
N/A
N/A
N/A
Settled
No
polymarket

36°C

0%
Yes 0¢No 100¢
—
N/A
$5,382
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$2,311
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$2,036
N/A
N/A
N/A
Settled
No
polymarket

27°C or below

0%
Yes 0¢No 100¢
—
N/A
$1,865
N/A
N/A
N/A
Settled
No
polymarket

37°C or higher

0%
Yes 0¢No 100¢
—
N/A
$1,339
N/A
N/A
N/A
Settled
No
Total markets: 11

Intro

This market tracks whether the highest temperature recorded in Paris on May 30, 2026 will fall within specific ranges. On Polymarket, the leading outcome—a high of 33°C—stands at 35.5%, while a high of 32°C carries 30.5% probability. Resolution will be determined by the highest temperature recorded at Paris-Le Bourget Airport Station according to Weather Underground historical data. Watch the actual temperature reading on May 30, 2026 to see which range the day's high falls into.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the highest temperature in Paris on May 30 on Polymarket. It displays the current probability of each outcome, 24-hour volume of $53,465, and historical price movements leading up to May 30, 2026. Users can monitor how market participants are pricing temperature thresholds and observe shifts in conviction as new weather data emerges. The dashboard provides transparency into collective forecasting sentiment on this specific meteorological event.

Prediction market odds reflect real-money bets from traders and reflect dynamic, crowd-sourced expectations. Analyst forecasts from meteorological services like Météo-France typically rely on deterministic weather models and historical climate patterns. Market odds often incorporate broader uncertainty and tail-risk pricing that pure model forecasts may not capture. Comparing the two reveals whether traders are pricing in more or less risk than official forecasters, offering insight into market confidence relative to expert consensus on Paris temperatures for May 30.

The market resolves at May 30, 2026, after the highest temperature in Paris on May 30 has been recorded. Resolution is determined by official meteorological data for that date. Outcomes are typically binary or tiered by temperature threshold, with each contract settling based on whether the actual recorded high meets or exceeds specified boundaries. Once the day concludes and official temperature readings are published, the market automatically settles and winnings are distributed to holders of the correct outcome.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric pressure systems tracking toward Europe can significantly move odds. El Niño or La Niña conditions, jet-stream positioning, and high-altitude blocking patterns influence May temperatures in Paris. Real-time weather model updates from major forecasting centers often trigger repricing. Urban heat anomalies, cloud cover predictions, and wind patterns also matter. As May 30 approaches, short-range forecasts become more precise, typically reducing uncertainty and stabilizing prices. Traders monitor these meteorological signals continuously to adjust positions.