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2,685

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Lowest temperature in Oklahoma City on Jun 9, 2026?
kalshi

Lowest temperature in Oklahoma City on Jun 9, 2026?

Volume:
$13,004

75° to 76°

 - Kalshi

75° to 76° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 10, 2026

Closed: Jun 10, 2:00 AM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

75° to 76°

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,976
N/A
N/A
$3,416
Settled
Yes
kalshi

71° to 72°

0%
Yes 0¢No 100¢
100¢
N/A
$2,729
N/A
N/A
$1,660
Settled
No
kalshi

77° or above

0%
Yes 0¢No 100¢
100¢
N/A
$2,514
N/A
N/A
$2,433
Settled
No
kalshi

73° to 74°

0%
Yes 0¢No 100¢
100¢
N/A
$1,640
N/A
N/A
$1,093
Settled
No
kalshi

68° or below

0%
Yes 0¢No 100¢
100¢
N/A
$640
N/A
N/A
$474
Settled
No
kalshi

69° to 70°

0%
Yes 0¢No 100¢
100¢
N/A
$505
N/A
N/A
$489
Settled
No
Total markets: 6

Description

Weather conditions in Oklahoma City on June 9, 2026, will be tracked based on the minimum temperature recorded by the National Weather Service. The outcome depends on how cold the overnight low becomes on that date.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the lowest temperature outcome in Oklahoma City on June 9, 2026, on Kalshi. You can monitor the current implied probability of each temperature threshold, view $11,137 in 24-hour trading volume, and observe how odds shift as new weather data and forecasts emerge. The dashboard displays historical price movements, allowing traders to identify trends and volatility patterns leading up to market resolution on Jun 10, 2026. This single-venue view provides transparency into how prediction market participants are pricing temperature expectations for that specific date.

Prediction market odds on Kalshi reflect aggregated trader beliefs about the lowest temperature in Oklahoma City on June 9, 2026, and often diverge from traditional weather analyst forecasts. While meteorologists rely on deterministic models and historical patterns, prediction markets incorporate real-time information, trader conviction, and financial incentives. Comparing Kalshi implied probabilities to National Weather Service forecasts or private weather services can reveal whether markets are pricing in more extreme outcomes or showing greater confidence in mild conditions than official guidance suggests. These differences highlight how markets and analysts weigh uncertainty differently.

On Kalshi, the lowest temperature in Oklahoma City on June 9 is priced as binary or range-based contracts reflecting specific temperature thresholds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares corresponding to whether the actual low will fall above or below defined strike levels, with contract prices directly representing the market's implied probability of each outcome. As June 9 approaches and updated weather models become available, prices adjust to reflect changing consensus. The bid-ask spread and trading volume on Kalshi indicate liquidity and conviction around particular temperature ranges, helping traders gauge where the market consensus lies.

The market resolves on Jun 10, 2026, after the lowest temperature for June 9, 2026, in Oklahoma City has been recorded and verified. Resolution is determined by official temperature data, typically sourced from National Weather Service stations or recognized meteorological authorities serving the Oklahoma City area. Once the actual low temperature is confirmed, contracts settle based on whether the recorded value falls within or outside the predefined thresholds established at market creation. This objective, verifiable outcome ensures fair settlement and maintains market integrity.

Several factors can shift odds for the lowest temperature in Oklahoma City on June 9, 2026. Updated seasonal weather forecasts, particularly those issued 7–14 days before the event, often trigger significant repricing as meteorological confidence increases. Large-scale atmospheric patterns—such as high-pressure systems, cold fronts, or tropical moisture—will influence trader expectations. Historical climate data for early June in Oklahoma City and real-time atmospheric conditions in the days leading up to June 9 also drive market movement. As the event date nears, any revision to official forecasts or emerging weather alerts can cause rapid shifts in contract prices.