TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 9, 2:00 AM EST
Kalshi
The overnight low temperature in Houston on June 8, 2026 will be recorded by the National Weather Service's daily climatological report. This event tracks the minimum temperature across various ranges.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Houston on June 8, 2026 is priced as binary or range-based contracts tied to specific temperature thresholds. Traders buy and sell shares representing their belief that the actual low will fall within or outside defined bands. The contract price reflects the implied probability of each outcome, with higher prices indicating greater market confidence. Kalshi's order book and continuous trading mechanism allow prices to adjust dynamically based on new information, weather model updates, and trader positioning leading up to the June 8 resolution date.
The market resolves on Jun 9, 2026, after the lowest temperature for June 8, 2026 in Houston has been recorded and verified. Resolution depends on official temperature data from a designated weather station or meteorological authority serving the Houston area. Once the actual low temperature is confirmed, the outcome is determined and all contracts settle according to whether the recorded value matches the specified threshold or range. Traders should monitor the platform's resolution criteria and data source specifications to understand exactly how the final temperature will be measured and reported.
Major weather pattern shifts, seasonal climate anomalies, and updated meteorological forecasts will drive price movements for this contract. Cold fronts, high-pressure systems, or tropical influences affecting the Gulf Coast region could significantly alter expectations for Houston's June low. Long-range climate outlooks, El Niño or La Niña conditions, and historical temperature trends for early June will inform trader positioning. As the event date approaches, short-range weather models become more reliable, typically triggering sharper price adjustments. Real-time atmospheric data and any unusual seasonal developments will be key catalysts for contract repricing.