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%
Closed: May 30, 8:00 AM EST
Polymarket
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.
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.