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Highest temperature in Washington DC on Jun 9, 2026?
kalshi

Highest temperature in Washington DC on Jun 9, 2026?

Volume:
$31,696

83° to 84°

 - Kalshi

83° to 84° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 10, 2026

Closed: Jun 10, 1:00 AM EST

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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

83° to 84°

View
100%
Yes 100¢No 0¢
100¢
N/A
$8,409
N/A
N/A
$5,611
Settled
Yes
kalshi

85° to 86°

0%
Yes 0¢No 100¢
100¢
N/A
$8,752
N/A
N/A
$6,449
Settled
No
kalshi

82° or below

0%
Yes 0¢No 100¢
100¢
N/A
$8,338
N/A
N/A
$5,334
Settled
No
kalshi

87° to 88°

0%
Yes 0¢No 100¢
100¢
N/A
$4,630
N/A
N/A
$4,095
Settled
No
kalshi

91° or above

0%
Yes 0¢No 100¢
100¢
N/A
$827
N/A
N/A
$794
Settled
No
kalshi

89° to 90°

0%
Yes 0¢No 100¢
100¢
N/A
$740
N/A
N/A
$538
Settled
No
Total markets: 6

Description

Weather conditions in Washington DC on June 9, 2026, will be tracked based on the maximum temperature recorded by the National Weather Service. The outcome depends on how warm the daytime high becomes on that date.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and historical price data for the highest temperature outcome in Washington DC on June 9, 2026, on Kalshi. You can monitor current implied probabilities for each temperature threshold, view 24-hour volume of $27,389, and observe how trader sentiment shifts as the event date approaches. The dashboard displays the leading outcome and lets you compare current odds against earlier prices to identify momentum and conviction among market participants betting on this specific weather event.

Prediction market odds on Kalshi reflect aggregated trader beliefs about the highest temperature in Washington DC on June 9, 2026, and often diverge from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical patterns, prediction markets incorporate real-time information, trader expertise, and financial incentives. Comparing Kalshi odds to National Weather Service or private forecaster predictions can reveal whether markets are pricing in tail risks or consensus scenarios that traditional models may underweight or overlook.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature in Washington DC on June 9, 2026, is priced as binary or range-based contracts reflecting trader conviction about specific temperature thresholds. Each outcome carries an implied probability derived from the bid-ask spread and order book depth. Prices adjust continuously as new weather data, seasonal trends, and climate signals emerge. Traders can enter or exit positions at any time before resolution, allowing the market to incorporate evolving information and reflect real-time expectations about June weather conditions in the nation's capital.

The market resolves on Jun 10, 2026, after the highest temperature recorded in Washington DC on June 9, 2026, is finalized. Resolution depends on official temperature data from the designated weather station or source specified by the contract terms. Once the day concludes and the final high temperature is confirmed, the outcome is determined and all positions settle accordingly. Traders should monitor the event closely as the date approaches to ensure they understand the exact resolution criteria and data source that will be used.

Several factors could shift odds for the highest temperature in Washington DC on June 9, 2026. Long-range weather forecasts and seasonal climate patterns will influence expectations as the date nears. Heat waves, cold fronts, or unusual atmospheric conditions affecting the eastern United States could trigger repricing. Historical temperature records for that date and broader climate trends may also sway trader positioning. Additionally, any significant weather model updates or anomalies in spring and early summer conditions leading up to June 9 could prompt rapid adjustments in market prices.