Recent monsoon advance into Uttar Pradesh, with IMD noting favorable conditions for further northward progress by early July, creates the main uncertainty behind the tight clustering of market-implied odds around 35–36 °C. Cloud cover, humidity increases, and scattered rainfall typical of the season’s onset can suppress daytime maxima by several degrees relative to pre-monsoon heat, while breaks in activity allow temperatures to reach or exceed 37 °C. Above-normal temperature outlooks for July combined with below-normal rainfall projections in parts of the region add to the balanced probabilities, as small shifts in the timing or intensity of showers over the next 48 hours could tip the highest reading between adjacent thresholds. Traders are therefore weighting short-range model consensus on steering patterns and convective activity most heavily ahead of the July 5 observation window.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHighest temperature in Lucknow on July 5?
36°C 30%
35°C 30%
37°C 11%
34°C 5%
33°C or below
2%
34°C
5%
35°C
30%
36°C
30%
37°C
11%
38°C
5%
39°C
4%
40°C
1%
41°C
<1%
42°C
<1%
43°C or higher
<1%
36°C 30%
35°C 30%
37°C 11%
34°C 5%
33°C or below
2%
34°C
5%
35°C
30%
36°C
30%
37°C
11%
38°C
5%
39°C
4%
40°C
1%
41°C
<1%
42°C
<1%
43°C or higher
<1%
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.
Markt eröffnet: Jul 3, 2026, 12:02 AM ET
Abwicklungsquelle
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Recent monsoon advance into Uttar Pradesh, with IMD noting favorable conditions for further northward progress by early July, creates the main uncertainty behind the tight clustering of market-implied odds around 35–36 °C. Cloud cover, humidity increases, and scattered rainfall typical of the season’s onset can suppress daytime maxima by several degrees relative to pre-monsoon heat, while breaks in activity allow temperatures to reach or exceed 37 °C. Above-normal temperature outlooks for July combined with below-normal rainfall projections in parts of the region add to the balanced probabilities, as small shifts in the timing or intensity of showers over the next 48 hours could tip the highest reading between adjacent thresholds. Traders are therefore weighting short-range model consensus on steering patterns and convective activity most heavily ahead of the July 5 observation window.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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