Highest temperature in Lucknow on March 26?

Highest temperature in Lucknow on March 26?

Ended: Mar 26

Mar 28

Mar 29

Ended: Mar 26

Mar 28

Mar 29

36°C 100.0%

34°C or below <1%

35°C <1%

37°C <1%

$35,809 交易量

$35,809 交易量

Mar 26, 2026

34°C or below

$0 交易量

No

35°C

$0 交易量

No

36°C

$14,518 交易量

Yes

37°C

$21,290 交易量

No

38°C

$0 交易量

No

39°C

$0 交易量

No

40°C

$0 交易量

No

41°C

$0 交易量

No

42°C

$0 交易量

No

43°C

$0 交易量

No

44°C or higher

$0 交易量

No

36°C 100.0%

34°C or below <1%

35°C <1%

37°C <1%

$35,809 交易量

$35,809 交易量

Mar 26, 2026

34°C or below

$0 交易量

No

35°C

$0 交易量

No

36°C

$14,518 交易量

Yes

37°C

$21,290 交易量

No

38°C

$0 交易量

No

39°C

$0 交易量

No

40°C

$0 交易量

No

41°C

$0 交易量

No

42°C

$0 交易量

No

43°C

$0 交易量

No

44°C or higher

$0 交易量

No

India Meteorological Department (IMD) forecasts confirm a maximum temperature of 36°C for Lucknow on March 26, aligning with trader consensus at 100% market-implied probability, driven by the latest model runs showing stable atmospheric conditions and no heatwave signals. Current observations indicate daytime highs in the mid-30s°C amid typical pre-monsoon weather patterns, with low humidity and moderate northeasterly winds suppressing further warming; historical March data for Lucknow averages 32–36°C, supporting this positioning without extremes like the 43°C outlier. Ensemble forecast models exhibit high agreement on this outcome, though rare scenarios such as sudden clear skies or subsidence could push temperatures higher if upper-level ridging strengthens unexpectedly. Final resolution awaits official IMD-recorded high for the day.

基於Polymarket數據的AI實驗性摘要 · 更新於 Mar 26, 2026, 11:02 PM UTC

India Meteorological Department (IMD) forecasts confirm a maximum temperature of 36°C for Lucknow on March 26, aligning with trader consensus at 100% market-implied probability, driven by the latest model runs showing stable atmospheric conditions and no heatwave signals. Current observations indicate daytime highs in the mid-30s°C amid typical pre-monsoon weather patterns, with low humidity and moderate northeasterly winds suppressing further warming; historical March data for Lucknow averages 32–36°C, supporting this positioning without extremes like the 43°C outlier. Ensemble forecast models exhibit high agreement on this outcome, though rare scenarios such as sudden clear skies or subsidence could push temperatures higher if upper-level ridging strengthens unexpectedly. Final resolution awaits official IMD-recorded high for the day.

基於Polymarket數據的AI實驗性摘要 · 更新於 Mar 26, 2026, 11:02 PM UTC

警惕外部連結哦。

警惕外部連結哦。

Frequently Asked Questions

"Highest temperature in Lucknow on March 26?" is a prediction market on Polymarket with 11 possible outcomes where traders buy and sell shares based on what they believe will happen. The current leading outcome is "36°C" at 100%, followed by "34°C or below" at 0%. Prices reflect real-time crowd-sourced probabilities. For example, a share priced at 100¢ implies that the market collectively assigns a 100% chance to that outcome. These odds shift continuously as traders react to new developments and information. Shares in the correct outcome are redeemable for $1 each upon market resolution.

As of today, "Highest temperature in Lucknow on March 26?" has generated $35.8K in total trading volume since the market launched on Mar 22, 2026. This level of trading activity reflects strong engagement from the Polymarket community and helps ensure that the current odds are informed by a deep pool of market participants. You can track live price movements and trade on any outcome directly on this page.

To trade on "Highest temperature in Lucknow on March 26?," browse the 11 available outcomes listed on this page. Each outcome displays a current price representing the market's implied probability. To take a position, select the outcome you believe is most likely, choose "Yes" to trade in favor of it or "No" to trade against it, enter your amount, and click "Trade." If your chosen outcome is correct when the market resolves, your "Yes" shares pay out $1 each. If it's incorrect, they pay out $0. You can also sell your shares at any time before resolution if you want to lock in a profit or cut a loss.

The current frontrunner for "Highest temperature in Lucknow on March 26?" is "36°C" at 100%, meaning the market assigns a 100% chance to that outcome. The next closest outcome is "34°C or below" at 0%. These odds update in real-time as traders buy and sell shares, so they reflect the latest collective view of what's most likely to happen. Check back frequently or bookmark this page to follow how the odds shift as new information emerges.

The resolution rules for "Highest temperature in Lucknow on March 26?" define exactly what needs to happen for each outcome to be declared a winner — including the official data sources used to determine the result. You can review the complete resolution criteria in the "Rules" section on this page above the comments. We recommend reading the rules carefully before trading, as they specify the precise conditions, edge cases, and sources that govern how this market is settled.

Yes. You don't need to trade to stay informed. This page serves as a live tracker for "Highest temperature in Lucknow on March 26?." The outcome probabilities update in real-time as new trades come in. You can bookmark this page and check the comments section to see what other traders are saying. You can also use the time-range filters on the chart to see how the odds have shifted over time. It's a free, real-time window into what the market expects to happen.

Polymarket odds are set by real traders putting real money behind their beliefs, which tends to surface accurate predictions. With $35.8K traded on “Highest temperature in Lucknow on March 26?,” these prices aggregate the collective knowledge and conviction of thousands of participants — often outperforming polls, expert forecasts, and traditional surveys. Prediction markets like Polymarket have a strong track record of accuracy, especially as events approach their resolution date. For example, Polymarket has a one month accuracy score of 94%. For the latest stats on Polymarket’s prediction accuracy, visit the accuracy page on Polymarket.

To place your first trade on "Highest temperature in Lucknow on March 26?," sign up for a free Polymarket account and fund it using crypto, a credit or debit card, or a bank transfer. Once your account is funded, return to this page, select the outcome you want to trade, enter your amount, and click "Trade." If you're new to prediction markets, click the "How it works" link at the top of any Polymarket page for a quick step-by-step walkthrough of how trading works.

On Polymarket, the price of each outcome represents the market's implied probability. A price of 100¢ for "36°C" in the "Highest temperature in Lucknow on March 26?" market means traders collectively believe there is roughly a 100% chance that "36°C" will be the correct result. If you buy "Yes" shares at 100¢ and the outcome is correct, you receive $1.00 per share — a profit of 0¢ per share. If incorrect, those shares are worth $0.

The "Highest temperature in Lucknow on March 26?" market has been resolved. The final result has been determined and the market is no longer open for trading. You can still review the historical odds, outcome probabilities, and comments on this page to see how predictions evolved over time.

The "Highest temperature in Lucknow on March 26?" market has an active community of 62 comments where traders share their analysis, debate outcomes, and discuss breaking developments. Scroll down to the comments section below to read what other participants think. You can also filter by "Top Holders" to see what the market's biggest traders are positioned on, or check the "Activity" tab for a real-time feed of trades.

Polymarket is the world's largest prediction market, where you can stay informed and profit from your knowledge of real-world events. Traders buy and sell shares on outcomes for topics ranging from politics and elections to crypto, finance, sports, tech, and culture, including markets like "Highest temperature in Lucknow on March 26?." Prices reflect real-time, crowd-sourced probabilities backed by financial conviction, often providing faster and more accurate signals than polls, pundits, or traditional surveys.