TOTAL VOLUME:
$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%
Closed: May 31, 1:00 AM EST
Kalshi
The minimum temperature in Atlanta on May 30, 2026, will be recorded by the National Weather Service.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Atlanta on May 30, 2026 is priced through binary or range-based outcome contracts, where traders buy and sell shares corresponding to specific temperature thresholds. Each outcome contract reflects the market's probability estimate for that temperature range occurring. Prices move based on order flow and new information about seasonal patterns, climate anomalies, or long-range forecasts. As the event date approaches and more definitive weather models emerge, pricing adjusts to reflect updated expectations for Atlanta's minimum temperature that day.
The market resolves on May 31, 2026. Resolution is determined by the official lowest temperature recorded in Atlanta on May 30, 2026, typically sourced from the National Weather Service or a designated meteorological authority. The outcome is based on the actual minimum temperature reading for that calendar day, and the winning contract corresponds to whichever temperature range or threshold bracket contains the recorded low. Traders holding shares in the correct outcome receive their payout upon resolution.
Several factors could shift market odds for Atlanta's May 30, 2026 low temperature. Long-range climate forecasts and seasonal outlooks released by NOAA or other meteorological bodies may indicate warmer or cooler-than-normal conditions for late May. Major weather pattern shifts, such as changes in jet stream positioning or tropical activity, can alter expectations. Historical analogs and El Niño or La Niña conditions influence spring temperatures. As May approaches, medium-range weather models become more reliable, and traders will adjust positions based on 10-day and extended forecasts, driving price movements toward the actual expected low.