TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Lucknow on June 1?
polymarket

Highest temperature in Lucknow on June 1?

Volume:
$59,420

33°C

 - Polymarket

33°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 1, 2026

Closed: Jun 1, 8:00 AM EST

polymarket

Polymarket

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

33°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$11,887
N/A
N/A
N/A
Settled
Yes
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$12,223
N/A
N/A
N/A
Settled
No
polymarket

32°C or below

0%
Yes 0¢No 100¢
—
N/A
$11,751
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$6,134
N/A
N/A
N/A
Settled
No
polymarket

36°C

0%
Yes 0¢No 100¢
—
N/A
$4,937
N/A
N/A
N/A
Settled
No
polymarket

37°C

0%
Yes 0¢No 100¢
—
N/A
$3,550
N/A
N/A
N/A
Settled
No
polymarket

39°C

0%
Yes 0¢No 100¢
—
N/A
$2,918
N/A
N/A
N/A
Settled
No
polymarket

38°C

0%
Yes 0¢No 100¢
—
N/A
$2,336
N/A
N/A
N/A
Settled
No
polymarket

40°C

0%
Yes 0¢No 100¢
—
N/A
$1,908
N/A
N/A
N/A
Settled
No
polymarket

41°C

0%
Yes 0¢No 100¢
—
N/A
$1,100
N/A
N/A
N/A
Settled
No
polymarket

42°C or higher

0%
Yes 0¢No 100¢
—
N/A
$676
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 1 Jun '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.

Frequently asked questions

Prediction market odds on Polymarket reflect aggregated trader beliefs about Lucknow's highest temperature on June 1, often incorporating real-time weather data and seasonal patterns. Traditional meteorological forecasts from India's India Meteorological Department typically provide deterministic temperature ranges based on historical climate models. Prediction markets tend to update faster than official forecasts as new information emerges, though both sources rely on similar underlying climate science. Comparing the two reveals whether traders are pricing in more optimistic or pessimistic temperature scenarios than official forecasters.

On Polymarket, the highest temperature in Lucknow on June 1 is priced as a binary outcome: Will the highest temperature be 42°C or higher? On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing yes or no positions, with the price reflecting the collective probability. As traders update their positions based on seasonal weather patterns, historical June data for Lucknow, and any emerging climate signals, the price fluctuates. The current market price directly represents the implied odds that Lucknow will reach or exceed 42°C on that date.

The market resolves on Jun 1, 2026, after June 1 concludes in Lucknow. The outcome is determined by the official highest temperature recorded in Lucknow on that date. Resolution depends on verified meteorological data from a reliable source, ensuring that the actual peak temperature is compared against the market's threshold. Once the official measurement is confirmed, the market settles automatically, and traders' positions are finalized based on whether the threshold was met.

Several factors could shift odds before June 1. Seasonal weather pattern updates from meteorological agencies may indicate stronger or weaker heat conditions. El Niño or monsoon onset timing could influence regional temperatures. Real-time atmospheric data, including pressure systems and humidity levels approaching June, will inform trader expectations. Historical comparisons to previous June 1 temperatures in Lucknow provide baseline context. Additionally, any unusual climate anomalies or extreme weather alerts issued closer to the date could trigger rapid repricing as traders reassess the likelihood of reaching 42°C.