TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 2:00 AM EST
Kalshi
The minimum overnight temperature in Minneapolis on May 30, 2026, will be recorded according to the National Weather Service's daily climatological report.
On Kalshi, the lowest temperature in Minneapolis on May 30, 2026, is priced through binary or range-based contracts that divide possible outcomes into discrete buckets. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing each temperature range, with prices reflecting the collective probability assigned to that outcome. The contract price directly translates to implied probability: a contract trading at 0.65 implies a 65% chance of that outcome occurring. As new weather data emerges and the event date approaches, prices adjust to reflect updated trader expectations and new information about atmospheric conditions.
The market resolves on May 31, 2026, after May 30, 2026, concludes and official temperature data becomes available. Resolution is determined by the verified lowest temperature recorded in Minneapolis on that specific date. Once the outcome is confirmed, winning positions are paid out and losing positions expire worthless. The exact measurement source and methodology are specified in the contract terms to ensure objective, verifiable settlement. Traders should review the full contract specifications on Kalshi before trading to understand all resolution criteria.
Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts can significantly move odds for Minneapolis's May 30 low temperature. Atmospheric indicators like jet stream positioning, ocean temperature anomalies, and pressure systems developing weeks in advance often influence spring weather outcomes. As May approaches, medium-range forecasts become more reliable, typically driving larger price movements. Additionally, historical temperature records and climate data releases may prompt traders to reassess probabilities. Real-time weather model updates in the days immediately before May 30 typically generate the most volatile trading activity as uncertainty narrows.