TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
$
The overnight low temperature in Houston on June 1, 2026 will be recorded by the National Weather Service and categorized into temperature bands to assess weather conditions for that day.
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 1, 2026 is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. Traders buy and sell shares at prices between 0 and 100 cents, with the price reflecting the implied probability of that outcome occurring. As new weather data, seasonal patterns, and climate signals emerge, traders adjust their positions, moving prices up or down. The market resolves based on the actual recorded low temperature on that date, with payouts determined by which contract outcome matches the official reading.
The market resolves on Jun 2, 2026, after the close of trading and once the official lowest temperature for Houston on June 1, 2026 is recorded. The outcome is determined by the actual minimum temperature observed that day, typically sourced from a recognized meteorological authority or weather station serving the Houston area. Resolution occurs after sufficient time has passed to confirm the final reading and rule out any data corrections. Traders' positions settle based on whether their chosen outcome matches the official recorded low temperature.
Several factors could shift market odds for Houston's June 1 low temperature. Long-range weather forecasts and seasonal climate patterns updated by meteorological agencies will influence trader expectations as the date approaches. El Niño or La Niña conditions, ocean temperature anomalies, and upper-atmosphere circulation patterns affect early-summer temperatures in Texas. Major weather events or heat waves in late May could signal hotter conditions ahead. Additionally, historical temperature data, urban heat island effects, and any unusual atmospheric blocking patterns will be priced in by traders. As June 1 draws closer, medium-range forecasts become more reliable and will likely drive significant trading activity and price adjustments.