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: Jun 3, 3:00 AM EST
Kalshi
The overnight low temperature in Denver on June 2, 2026, will be recorded by the National Weather Service according to their daily climatological report.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Denver on June 2, 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. The market resolves based on official temperature data recorded for Denver on that date. Kalshi's order book displays bid-ask spreads and depth, allowing traders to execute at current market rates or place limit orders to wait for their target price.
The market resolves on Jun 3, 2026, after the close of trading and once the official lowest temperature for Denver on June 2, 2026 is recorded. Resolution is determined by verified meteorological data for that specific date and location. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. The exact timing of resolution confirmation depends on data availability and platform settlement procedures, but typically occurs within hours of market close.
Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from the National Weather Service can significantly move odds for Denver's June 2 low temperature. El Niño or La Niña conditions, Arctic air intrusions, or heat dome formation weeks in advance will influence trader expectations. Real-time atmospheric data, jet stream positioning, and soil moisture anomalies closer to the date will drive sharp repricing. Additionally, any unusual solar activity or volcanic effects on atmospheric conditions could alter the probability distribution. Traders monitor extended forecasts continuously to adjust positions ahead of resolution.