TOTAL VOLUME:

$134.1b

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$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

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30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

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39%

VS.

Kalshi:

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Lowest temperature in Houston on Jun 2, 2026?
kalshi

Lowest temperature in Houston on Jun 2, 2026?

Volume:
$6,059

75° to 76°

 - Kalshi

75° to 76° - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 3, 2026

Closed: Jun 3, 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
$740
N/A
N/A
$635
Settled
Yes
kalshi

77° to 78°

0%
Yes 0¢No 100¢
100¢
N/A
$2,026
N/A
N/A
$1,619
Settled
No
kalshi

70° or below

0%
Yes 0¢No 100¢
100¢
N/A
$1,462
N/A
N/A
$1,460
Settled
No
kalshi

73° to 74°

0%
Yes 0¢No 100¢
100¢
N/A
$792
N/A
N/A
$636
Settled
No
kalshi

71° to 72°

0%
Yes 0¢No 100¢
100¢
N/A
$562
N/A
N/A
$533
Settled
No
kalshi

79° or above

0%
Yes 0¢No 100¢
100¢
N/A
$477
N/A
N/A
$476
Settled
No
Total markets: 6

Description

The National Weather Service will record the minimum temperature in Houston on June 2, 2026. This event tracks what the overnight low temperature will be on that date.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the lowest temperature outcome in Houston on June 2, 2026 on Kalshi. You can monitor the current implied probability of each temperature threshold, historical price movements, and recent trading volume. The dashboard displays $6,059 in total group volume and $5,525 in 24-hour volume, giving you a snapshot of market liquidity and trader interest in this weather event. Use these metrics to gauge consensus expectations and identify shifts in market sentiment as the event date approaches.

Prediction market odds on Kalshi reflect real-money trader expectations for Houston's lowest temperature on June 2, 2026, often incorporating meteorological forecasts and historical climate patterns. Professional weather analysts and the National Weather Service publish seasonal and short-range temperature outlooks that can be compared against market-implied probabilities. When prediction markets diverge from analyst consensus, it typically signals either new information priced in by traders or uncertainty about forecast reliability. Monitoring both sources helps you understand whether markets are pricing in tail risks or unusual weather patterns that traditional forecasters may underweight.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in Houston on June 2, 2026 is priced as a binary or range-based contract reflecting trader beliefs about whether the low will fall within specified temperature bands. Prices move based on supply and demand from traders betting on cooler or warmer outcomes. Kalshi's order book shows real-time bid-ask spreads, allowing you to see the cost of taking either side. As the event date approaches and weather models become more certain, prices typically converge toward the most likely outcome, with volatility potentially spiking if forecasts shift suddenly.

The market resolves on Jun 3, 2026, after the lowest temperature in Houston on June 2, 2026 has been recorded and verified. The outcome is determined by official temperature data, typically sourced from the National Weather Service or recognized meteorological stations in the Houston area. Once the actual low temperature is confirmed, the contract settles based on which outcome bracket or threshold it falls into. Traders should monitor weather reports and official data releases on and after June 2 to understand how the resolution will be determined.

Major weather pattern shifts, seasonal climate anomalies, and updated meteorological forecasts are key signals that could move odds for Houston's June 2 low temperature. Cold fronts, high-pressure systems, or tropical activity in the Gulf of Mexico could all influence the outcome. Long-range weather models updated weekly by the National Weather Service may show changing probabilities for above or below-normal temperatures. El Niño or La Niña conditions, atmospheric blocking patterns, and jet stream positioning can also affect regional temperatures. Traders should monitor extended forecasts and climate indices as June 2026 approaches to stay ahead of market repricing.