"Highest temperature in San Francisco on October 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 "84-85°F" at 38%, followed by "82-83°F" at 37%. Prices reflect real-time crowd-sourced probabilities. For example, a share priced at 38¢ implies that the market collectively assigns a 38% 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 San Francisco on October 17?" has generated $27K in total trading volume since the market launched on Oct 15, 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 San Francisco on October 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 San Francisco on October 17?" is "84-85°F" at 38%, meaning the market assigns a 38% chance to that outcome. The next closest outcome is "82-83°F" at 37%. 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 San Francisco on October 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 San Francisco on October 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. With $27K traded on “Highest temperature in San Francisco on October 17?,” 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 San Francisco on October 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 38¢ for "84-85°F" in the "Highest temperature in San Francisco on October 17?" market means traders collectively believe there is roughly a 38% chance that "84-85°F" will be the correct result. If you buy "Yes" shares at 38¢ and the outcome is correct, you receive $1.00 per share — a profit of 62¢ per share. If incorrect, those shares are worth $0.

The "Highest temperature in San Francisco on October 17?" market's scheduled end date has passed, but the market has not yet been officially resolved. The end date indicates when the underlying event is expected to occur or become knowable. It is not the moment trading stops. The market remains open for trading until the outcome is formally resolved through the resolution process. You can still buy, sell, or close your position while the market is pending resolution. Check the resolution status tracker and "Rules" section on this page for updates on the resolution timeline.

The "Highest temperature in San Francisco on October 17?" 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 San Francisco on October 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.