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 4, 2:00 AM EST
Kalshi
The overnight low temperature in Dallas on June 3, 2026, will be recorded by the National Weather Service.
Prediction market odds on Kalshi reflect aggregated trader expectations and often diverge from traditional meteorological forecasts issued by the National Weather Service or private weather services. While meteorologists rely on atmospheric models and historical data, prediction markets incorporate real-time information, trader conviction, and economic incentives. Comparing Kalshi odds to published long-range forecasts for early June Dallas temperatures can reveal whether markets are pricing in warmer or cooler conditions than official predictions suggest, offering insight into collective market confidence.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Dallas on June 3, 2026 is priced as a binary or range-based contract reflecting the probability of specific temperature thresholds being reached. Traders buy and sell shares corresponding to different temperature outcomes, with prices ranging from 0 to 100 cents per share. The market price directly represents the implied probability of that outcome occurring. As new weather data, seasonal forecasts, and atmospheric patterns emerge, prices adjust to reflect updated trader expectations about Dallas's minimum temperature on that date.
The market resolves on Jun 4, 2026. Resolution is determined by the official lowest temperature recorded in Dallas on June 3, 2026, typically sourced from the National Weather Service or a designated weather station serving the Dallas area. The specific temperature threshold or range that traders wagered on will be compared against the actual recorded low to determine winning and losing positions. Traders should verify the exact resolution criteria and data source specified by Kalshi before placing trades.
Several factors could shift odds for Dallas's June 3 low temperature. Long-range weather models and seasonal forecasts updated closer to the date will influence expectations. Atmospheric patterns, including high-pressure systems, cold fronts, or tropical moisture, can dramatically alter temperature outcomes. Historical June temperature data and climate anomalies provide baseline context. Additionally, broader climate trends and any unusual weather events in the months leading up to June 2026 may prompt traders to reassess probabilities. Real-time forecast updates in late May and early June will drive the most significant price movements.