TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Lowest temperature in Austin on Jun 29, 2026?
kalshi

Lowest temperature in Austin on Jun 29, 2026?

Volume:
$8,573

77° to 78°

 - Kalshi

77° to 78° - Kalshi

1W

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 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

77° to 78°

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,596
N/A
N/A
$1,712
Settled
Yes
kalshi

79° to 80°

0%
Yes 0¢No 100¢
100¢
N/A
$2,109
N/A
N/A
$1,441
Settled
No
kalshi

75° to 76°

0%
Yes 0¢No 100¢
100¢
N/A
$1,651
N/A
N/A
$789
Settled
No
kalshi

73° to 74°

0%
Yes 0¢No 100¢
100¢
N/A
$1,071
N/A
N/A
$1,066
Settled
No
kalshi

81° or above

0%
Yes 0¢No 100¢
100¢
N/A
$581
N/A
N/A
$506
Settled
No
kalshi

72° or below

0%
Yes 0¢No 100¢
100¢
N/A
$565
N/A
N/A
$560
Settled
No
Total markets: 6

Description

This market tracks the lowest temperature recorded in Austin on June 29, 2026. The outcome is determined by which temperature range the daily minimum falls into, as reported by the National Weather Service's official Climatological Report for Austin Bergstrom.

Kalshi

Resolution is based on the minimum temperature recorded at Austin Bergstrom on June 29, 2026, according to the National Weather Service's Climatological Report (Daily). The official data source is accessed via the NWS website at the provided URL, selecting the "Observed Weather" tab and "Austin Bergstrom" location with Daily Climate Report. Temperature ranges are: 72°F or below, 73-74°F, 75-76°F, 77-78°F, 79-80°F, and 81°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) value takes precedence over other weather sources such as AccuWeather or Google Weather.

Frequently asked questions

Prediction market odds reflect real-money commitments from traders and often incorporate a broader range of data than traditional analyst forecasts. While meteorologists and weather services issue deterministic or probabilistic forecasts based on atmospheric models, this market prices uncertainty through continuous trading. The crowd-sourced nature of prediction markets can sometimes detect emerging signals or consensus shifts faster than periodic analyst updates. However, both approaches rely on the same underlying weather data and modeling; divergence typically reflects different confidence levels or time horizons rather than access to superior information.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for temperature-range outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome contract represents a specific low-temperature band, and the price of each contract reflects the collective probability assigned by active traders. As new information emerges or trading volume shifts, prices adjust in real time. Participants can enter or exit positions at any time before the market closes, allowing dynamic repricing throughout the forecast window.

This market resolves around Jun 30, 2026, once the actual low temperature for Austin on June 29, 2026 is confirmed. The outcome is determined by verified weather data from credible public sources, ensuring an objective and transparent settlement. Traders holding shares in the outcome that matches the recorded low temperature receive their payout, while other positions expire worthless. The resolution process is automated once the official temperature reading is available and cross-checked against established meteorological records.

Market prices will shift in response to updated weather forecasts, seasonal climate patterns, and atmospheric anomalies reported by meteorological agencies. Major weather events such as cold fronts, heat domes, or unusual pressure systems can trigger rapid repricing. Long-range climate indices and historical temperature comparisons for late June in Austin also influence trader expectations. As the event date draws closer, short-term forecast models become more reliable, often causing sharper price movements. Real-time updates from the National Weather Service and other authoritative sources serve as key catalysts for trading activity.