Highest temperature in Sao Paulo on March 17?

Highest temperature in Sao Paulo on March 17?

Ended: Mar 17

Mar 26

Mar 27

Mar 28

Mar 29

Ended: Mar 17

Mar 26

Mar 27

Mar 28

Mar 29

32°C 100.0%

23°C or below <1%

24°C <1%

25°C <1%

$0.00 交易量

$0.00 交易量

Mar 17, 2026

23°C or below

$0 交易量

No

24°C

$0 交易量

No

25°C

$0 交易量

No

26°C

$0 交易量

No

27°C

$0 交易量

No

28°C

$0 交易量

No

29°C

$0 交易量

No

30°C

$0 交易量

No

31°C

$0 交易量

No

32°C

$0 交易量

Yes

33°C or higher

$0 交易量

No

32°C 100.0%

23°C or below <1%

24°C <1%

25°C <1%

$0.00 交易量

$0.00 交易量

Mar 17, 2026

23°C or below

$0 交易量

No

24°C

$0 交易量

No

25°C

$0 交易量

No

26°C

$0 交易量

No

27°C

$0 交易量

No

28°C

$0 交易量

No

29°C

$0 交易量

No

30°C

$0 交易量

No

31°C

$0 交易量

No

32°C

$0 交易量

Yes

33°C or higher

$0 交易量

No

This market will resolve to the temperature range that contains the highest temperature recorded at the Sao Paulo-Guarulhos International Airport Station in degrees Celsius on 17 Mar '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Sao Paulo-Guarulhos International Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/br/guarulhos/SBGR. 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 to "Yes" until all data for this date has been finalized. 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. Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.

已提議結果: No

無爭議

最終結果: No

Trader consensus on Polymarket overwhelmingly favors a highest temperature of 32°C in Sao Paulo on March 17, driven by converging forecasts from authoritative models like ECMWF and GFS, which project peak daytime highs precisely at that level amid persistent high-pressure systems and low humidity reducing cloud cover. Sao Paulo's March climatology typically sees highs of 27-29°C, but current upper-air patterns—warm advection from the north and minimal southerly winds—align with verified recent observations pushing anomalies higher, as tracked by INMET monitoring stations. This positioning holds robustly unless an unforeseen convective outbreak introduces cooling thunderstorms or a sudden cold front dips readings below 32°C, scenarios deemed low-probability by ensemble model spreads.

基於Polymarket數據的AI實驗性摘要 · 更新於 Mar 18, 2026, 5:17 AM UTC

警惕外部連結哦。

警惕外部連結哦。

Frequently Asked Questions

"Highest temperature in Sao Paulo on March 17?" 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 "32°C" at 100%, followed by "23°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.

"Highest temperature in Sao Paulo on March 17?" is a newly created market on Polymarket, launched on Mar 13, 2026. As an early market, this is your opportunity to be among the first traders to set the odds and establish the market's initial price signals. You can also bookmark this page to track volume and trading activity as the market gains traction over time.

To trade on "Highest temperature in Sao Paulo on March 17?," 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 17?" is "32°C" at 100%, meaning the market assigns a 100% chance to that outcome. The next closest outcome is "23°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 17?" 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 17?." 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. “Highest temperature in Sao Paulo on March 17?” is still building its trading base, so the odds will become increasingly reliable as more participants enter the market. 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 17?," 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 "32°C" in the "Highest temperature in Sao Paulo on March 17?" market means traders collectively believe there is roughly a 100% chance that "32°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 17?" 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 17?" market has an active community of 100 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 17?." Prices reflect real-time, crowd-sourced probabilities backed by financial conviction, often providing faster and more accurate signals than polls, pundits, or traditional surveys.