Will the maximum temperature be 86-87° on Apr 21, 2026
Leader sits at 56% across 4 bound outcomes, runner-up at 29%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.
Leader probability
107° to 108°
Outcomes
4
winner-take-all
Runner-up
29¢
109° to 110°
Spread
27pp
contested
24h volume
$484
thin orderbook
Closes
Jul 9, 2026
0 days
Venue
Kalshi
4 bound
Bracket family
How the bracket ladder is priced.
Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.
Cluster 1
Will the maximum temperature be 1
Will the maximum temperature be 107-108° on Jul 12, 2026?: 107° to 108°
KXHIGHTLV-26JUL12-B107.5
Will the maximum temperature be 111-112° on Jul 12, 2026?: 111° to 112°
KXHIGHTLV-26JUL12-B111.5
Will the maximum temperature be 109-110° on Jul 12, 2026?: 109° to 110°
KXHIGHTLV-26JUL12-B109.5
Will the maximum temperature be 105-106° on Jul 12, 2026?: 105° to 106°
KXHIGHTLV-26JUL12-B105.5
Analysis
The market assigns a 68% probability that June 22, 2026 will see a maximum temperature between 105–106°F at this location. This reflects market participants' collective forecast for peak heat on that specific date. The high probability is driven by historical temperature patterns for late June and current seasonal trends that favor elevated heat. Markets for nearby temperature ranges (103–104°F at 12¢ and 107–108°F at 16¢) show declining odds as temperatures move away from the central prediction, suggesting confidence in a warm but not extreme outcome. Resolution will occur on June 22, 2026, when the actual recorded maximum temperature is known and compared against the 105–106°F band. Temperature forecasts beyond 10–14 days typically carry larger error margins, so substantial probability shifts remain possible as the date approaches and shorter-range meteorological data becomes available.
- ›Historical maximum temperatures for this location on June 21–23 establish a baseline expectation; deviations suggest the current probability may be miscalibrated
- ›Current atmospheric conditions and seasonal sea-surface temperatures influence medium-range forecast skill; anomalies in typical circulation patterns would raise or lower the odds of the 105–106°F band
- ›The narrow 2-degree range (105–106°F) concentrates risk; a shift of just 2–3°F either direction moves probability to adjacent contracts, making precision critical
- ›Forecast updates from National Weather Service and other meteorological models in the 10–14 days before June 22 will provide increasingly reliable temperature predictions, likely compressing remaining uncertainty
- ›Regional weather systems (high-pressure domes, moisture patterns, cloud cover) 1–2 weeks before the date remain the primary driver of forecast revisions
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These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.
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How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.
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