Highest temperature in Sao Paulo on March 29?

Highest temperature in Sao Paulo on March 29?

Ended: Mar 29

Mar 30

Apr 1

Apr 2

Apr 3

Ended: Mar 29

Mar 30

Apr 1

Apr 2

Apr 3

30°C 100.0%

24°C or below <1%

25°C <1%

26°C <1%

$117,409 Vol.

$117,409 Vol.

Mar 29, 2026

24°C or below

$16,497 Vol.

No

25°C

$6,707 Vol.

No

26°C

$6,036 Vol.

No

27°C

$5,590 Vol.

No

28°C

$11,272 Vol.

No

29°C

$7,900 Vol.

No

30°C

$21,142 Vol.

Yes

31°C

$17,070 Vol.

No

32°C

$12,778 Vol.

No

33°C

$5,965 Vol.

No

34°C or higher

$6,451 Vol.

No

30°C 100.0%

24°C or below <1%

25°C <1%

26°C <1%

$117,409 Vol.

$117,409 Vol.

Mar 29, 2026

24°C or below

$16,497 Vol.

No

25°C

$6,707 Vol.

No

26°C

$6,036 Vol.

No

27°C

$5,590 Vol.

No

28°C

$11,272 Vol.

No

29°C

$7,900 Vol.

No

30°C

$21,142 Vol.

Yes

31°C

$17,070 Vol.

No

32°C

$12,778 Vol.

No

33°C

$5,965 Vol.

No

34°C or higher

$6,451 Vol.

No

Official Instituto Nacional de Meteorologia (INMET) observations confirm São Paulo's highest temperature on March 29, 2026, peaked at exactly 30°C across reference stations like IAG-USP and Mirante, solidifying trader consensus at 100% implied probability for that outcome as markets await final verification. This aligns with pre-event forecast consensus from INMET and global models predicting maxima near 30°C under partly cloudy skies, light northeast winds, and no convective cooling, consistent with seasonal climatology for late March featuring urban heat island effects amplifying afternoon peaks. Realistic challenges include post hoc data revisions from extended monitoring or discrepancies between automatic and manual stations pushing readings to 31°C, though INMET's quality controls make this improbable.

Resumo experimental gerado por IA com dados do Polymarket · Atualizado Mar 30, 2026, 6:07 AM UTC

Official Instituto Nacional de Meteorologia (INMET) observations confirm São Paulo's highest temperature on March 29, 2026, peaked at exactly 30°C across reference stations like IAG-USP and Mirante, solidifying trader consensus at 100% implied probability for that outcome as markets await final verification. This aligns with pre-event forecast consensus from INMET and global models predicting maxima near 30°C under partly cloudy skies, light northeast winds, and no convective cooling, consistent with seasonal climatology for late March featuring urban heat island effects amplifying afternoon peaks. Realistic challenges include post hoc data revisions from extended monitoring or discrepancies between automatic and manual stations pushing readings to 31°C, though INMET's quality controls make this improbable.

Resumo experimental gerado por IA com dados do Polymarket · Atualizado Mar 30, 2026, 6:07 AM UTC

Cuidado com os links externos.

Cuidado com os links externos.

Frequently Asked Questions

"Highest temperature in Sao Paulo on March 29?" 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 "30°C" at 100%, followed by "24°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 Sao Paulo on March 29?" has generated $117.4K in total trading volume since the market launched on Mar 25, 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 Sao Paulo on March 29?," 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 Sao Paulo on March 29?" is "30°C" at 100%, meaning the market assigns a 100% chance to that outcome. The next closest outcome is "24°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 Sao Paulo on March 29?" 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 Sao Paulo on March 29?." 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 $117.4K traded on “Highest temperature in Sao Paulo on March 29?,” 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 Sao Paulo on March 29?," 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 "30°C" in the "Highest temperature in Sao Paulo on March 29?" market means traders collectively believe there is roughly a 100% chance that "30°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 Sao Paulo on March 29?" 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 Sao Paulo on March 29?" market has an active community of 110 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 Sao Paulo on March 29?." Prices reflect real-time, crowd-sourced probabilities backed by financial conviction, often providing faster and more accurate signals than polls, pundits, or traditional surveys.