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 May 29?
polymarket

Highest temperature in Lucknow on May 29?

Volume:
$19,064

38°C or below

 - Polymarket

38°C or below - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 30, 2026

Closed: May 29, 8:00 AM EST

polymarket

Polymarket

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

38°C or below

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$8,569
N/A
N/A
N/A
Settled
Yes
polymarket

39°C

0%
Yes 0¢No 100¢
—
N/A
$3,411
N/A
N/A
N/A
Settled
No
polymarket

45°C

0%
Yes 0¢No 100¢
—
N/A
$2,232
N/A
N/A
N/A
Settled
No
polymarket

40°C

0%
Yes 0¢No 100¢
—
N/A
$2,078
N/A
N/A
N/A
Settled
No
polymarket

41°C

0%
Yes 0¢No 100¢
—
N/A
$1,595
N/A
N/A
N/A
Settled
No
polymarket

42°C

0%
Yes 0¢No 100¢
—
N/A
$982
N/A
N/A
N/A
Settled
No
polymarket

47°C

0%
Yes 0¢No 100¢
—
N/A
$54
N/A
N/A
N/A
Settled
No
polymarket

43°C

0%
Yes 0¢No 100¢
—
N/A
$44
N/A
N/A
N/A
Settled
No
polymarket

44°C

0%
Yes 0¢No 100¢
—
N/A
$44
N/A
N/A
N/A
Settled
No
polymarket

46°C

0%
Yes 0¢No 100¢
—
N/A
$34
N/A
N/A
N/A
Settled
No
polymarket

48°C or higher

0%
Yes 0¢No 100¢
—
N/A
$20
N/A
N/A
N/A
Settled
No
Total markets: 11

Intro

This market tracks whether the highest temperature recorded in Lucknow will reach 38°C or below on May 29, 2026. On Polymarket, the leading outcome—temperatures of 38°C or lower—stands at 99.4%, while the outcome of exactly 39°C registers at 0.5%. Resolution will be determined by historical weather data from Weather Underground, using measurements from the Chaudhary Charan Singh International Airport Station. Watch for actual temperature readings as May 29, 2026 approaches, since the final settlement depends on the precise high temperature recorded on that specific date.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the highest temperature prediction in Lucknow on May 29 on Polymarket. It displays the current probability of the top outcome, historical price movements, and liquidity metrics including $6,317 in 24-hour volume and $19,064 in total group volume. Traders use this data to monitor market sentiment and identify shifts in temperature expectations as the event date approaches. The dashboard updates continuously to reflect new trades and market consensus.

Prediction market odds on Polymarket reflect real-time trader conviction about Lucknow's maximum temperature on May 29, often incorporating weather models and historical data faster than traditional analyst forecasts. While meteorological agencies issue seasonal and medium-range predictions, prediction markets aggregate dispersed information through financial incentives, sometimes diverging from official forecasts when new data emerges. Comparing market odds to analyst consensus helps identify where traders see undervalued or overvalued temperature scenarios relative to expert opinion.

The market resolves on May 29, 2026, after the highest temperature in Lucknow on May 29 is officially recorded. Resolution depends on verified temperature data from recognized meteorological sources for that specific date and location. Once the actual maximum temperature is confirmed, the outcome is determined and traders' positions settle accordingly. Early resolution is possible if official data becomes available before the end date.

Temperature predictions for Lucknow on May 29 can shift based on updated weather forecasts, monsoon onset timing, atmospheric pressure patterns, and seasonal climate anomalies. El Niño or La Niña conditions, soil moisture levels, and urban heat island effects also influence outcomes. Major weather model updates from meteorological agencies typically trigger repricing. Historical temperature records and recent heat waves in the region provide context for traders assessing extreme temperature scenarios. Traders monitor real-time weather data and forecaster revisions continuously.