**Trader consensus has converged sharply on 33°C as the official highest temperature recorded in Lucknow on June 1, driven by the latest India Meteorological Department forecast and model consensus projecting a maximum near that threshold under prevailing atmospheric conditions.** Recent observations show temperatures running several degrees below seasonal norms, consistent with broader northwest India patterns influenced by moisture influx and cloud cover that suppress daytime heating. The 100% market-implied probability reflects this alignment between official guidance and real-time data, with minimal dispersion in ensemble runs. Resolution hinges on the final IMD Lucknow station reading; any late-day measurement revision or localized variability could introduce minor uncertainty, though current conditions make significant deviation unlikely.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日Highest temperature in Lucknow on June 1?
33°C 100.0%
32°C or below <1%
34°C <1%
35°C <1%
$59,420 Vol.
$59,420 Vol.
32°C or below
No
33°C
Yes
34°C
No
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
No
41°C
No
42°C or higher
No
33°C 100.0%
32°C or below <1%
34°C <1%
35°C <1%
$59,420 Vol.
$59,420 Vol.
32°C or below
No
33°C
Yes
34°C
No
35°C
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
No
41°C
No
42°C or higher
No
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.
マーケット開始日: May 30, 2026, 12:58 AM ET
提案された結果: No
異議申し立てなし
最終結果: No
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.
提案された結果: No
異議申し立てなし
最終結果: No
**Trader consensus has converged sharply on 33°C as the official highest temperature recorded in Lucknow on June 1, driven by the latest India Meteorological Department forecast and model consensus projecting a maximum near that threshold under prevailing atmospheric conditions.** Recent observations show temperatures running several degrees below seasonal norms, consistent with broader northwest India patterns influenced by moisture influx and cloud cover that suppress daytime heating. The 100% market-implied probability reflects this alignment between official guidance and real-time data, with minimal dispersion in ensemble runs. Resolution hinges on the final IMD Lucknow station reading; any late-day measurement revision or localized variability could introduce minor uncertainty, though current conditions make significant deviation unlikely.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日

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