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:

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Highest temperature in Oklahoma City on Jun 30, 2026?
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Highest temperature in Oklahoma City on Jun 30, 2026?

Volume:
$43,977

94° to 95°

 - Kalshi

94° to 95° - Kalshi

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Positive

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Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 2:00 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

94° to 95°

View
100%
Yes 100¢No 0¢
100¢
N/A
$11,720
N/A
N/A
$6,703
Settled
Yes
kalshi

93° or below

0%
Yes 0¢No 100¢
100¢
N/A
$17,819
N/A
N/A
$7,495
Settled
No
kalshi

96° to 97°

0%
Yes 0¢No 100¢
100¢
N/A
$8,821
N/A
N/A
$5,926
Settled
No
kalshi

98° to 99°

0%
Yes 0¢No 100¢
100¢
N/A
$2,699
N/A
N/A
$1,975
Settled
No
kalshi

102° or above

0%
Yes 0¢No 100¢
100¢
N/A
$1,973
N/A
N/A
$1,938
Settled
No
kalshi

100° to 101°

0%
Yes 0¢No 100¢
100¢
N/A
$944
N/A
N/A
$865
Settled
No
Total markets: 6

Description

This event tracks the peak temperature in Oklahoma City on June 30, 2026, using official National Weather Service daily climate data. The outcome will be determined by the maximum temperature recorded at Oklahoma City Will Rogers Airport on that date.

Kalshi

Resolution is based on the maximum temperature recorded at Oklahoma City on June 30, 2026, according to the National Weather Service's Climatological Report (Daily) for CLIOKC. The official data source is accessed via the NWS website by navigating to the Observed Weather tab and selecting Oklahoma City Will Rogers Airport with Daily Climate Report. Temperature ranges are categorized as follows: 93°F or below, 94-95°F, 96-97°F, 98-99°F, 100-101°F, and 102°F or above. Each range corresponds to a distinct market outcome. Traders should note that preliminary NWS data may be subject to rounding and conversion nuances, and the final official NWS Climatological Report (Daily) serves as the authoritative source, superseding other weather services.

Frequently asked questions

On Kalshi, the Oklahoma City heat record market dashboard tracks real-time odds and historical price movements for predictions on the highest temperature in Oklahoma City on June 30, 2026. The interface displays current market pricing, 24-hour trading volume, and a price chart showing how trader sentiment has evolved. This allows participants to monitor consensus forecasts and identify entry or exit points as new weather data and seasonal patterns emerge leading up to the event date.

Prediction market odds reflect aggregated trader expectations and often incorporate real-time information faster than traditional weather forecasts. While meteorologists typically issue seasonal outlooks and extended forecasts months in advance, this market allows traders to price in updated climate models, historical temperature records, and emerging atmospheric patterns. The gap between market odds and analyst consensus can signal where traders see underappreciated risk or opportunity relative to official forecasts.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move based on supply and demand, with higher prices indicating greater perceived likelihood of a particular temperature range. Traders can place limit or market orders to express their views, and the spread between bid and ask prices reflects market confidence and liquidity around the event.

This market resolves around Jul 1, 2026, once the highest temperature recorded in Oklahoma City on June 30, 2026 is verified and finalized. The outcome is confirmed using credible public reporting from established weather monitoring sources. Traders holding positions aligned with the verified temperature outcome receive their payouts, while those on the opposite side of the trade realize losses.

Major climate patterns such as La Niña or El Niño cycles, seasonal drought conditions, and updated long-range weather models can shift market odds significantly. Real-time atmospheric data, tropical storm activity, and heat dome forecasts in the weeks before June 30 will drive price movements. Additionally, historical temperature records for that date and broader warming trends in the region may influence trader positioning as the event approaches.