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Airbnb (ABNB) Up or Down on November 2?
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Airbnb (ABNB) Up or Down on November 2?

Volume:
$70

Airbnb (ABNB) Up or Down on November 2?

 - Polymarket

Airbnb (ABNB) Up or Down on November 2? - Polymarket

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Positive

Negative

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·

Resolved Nov 2, 2026

Closed: Nov 2, 6:21 PM EST

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Airbnb (ABNB) Up or Down on November 2?

View
100%
52%
Yes 100¢No 0¢
—
N/A
$70
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the Close price for Airbnb, Inc. (ABNB) on November 2, 2026 is higher than the Close price for Airbnb, Inc. (ABNB) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Airbnb, Inc. (ABNB) on November 2, 2026 is lower than the Close price for Airbnb, Inc. (ABNB) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. Closing prices will be used exactly as published by Pyth, without rounding. If Airbnb, Inc. (ABNB) does not trade at all during the regular session, the market will resolve 50-50. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day. Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.ABNB%2FUSD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.ABNB%2FUSD?t=1773432000).

Polymarket

This market will resolve to "Up" if the Close price for Airbnb, Inc. (ABNB) on November 2, 2026 is higher than the Close price for Airbnb, Inc. (ABNB) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Airbnb, Inc. (ABNB) on November 2, 2026 is lower than the Close price for Airbnb, Inc. (ABNB) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. Closing prices will be used exactly as published by Pyth, without rounding. If Airbnb, Inc. (ABNB) does not trade at all during the regular session, the market will resolve 50-50. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day. Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.ABNB%2FUSD. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.ABNB%2FUSD?t=1773432000).

Frequently asked questions

On Polymarket, the dashboard for the Airbnb stock market tracks the current odds of the stock closing above or below its current price on November 2. You'll find a visual representation of the probabilities, the total volume traded – currently at $70 – and the 24-hour volume, which stands at $70. This allows traders to quickly assess market sentiment and trading activity related to ABNB. The dashboard provides a dynamic view of how predictions are evolving as new information becomes available, offering insight into the collective wisdom of the crowd.

Currently, prediction market odds offer a distinct perspective compared to traditional analyst forecasts for Airbnb. While analysts often provide price targets and ratings based on fundamental analysis, this market reflects real-money sentiment about the stock’s direction in the short term. Discrepancies can arise due to differing methodologies and information access. If analysts are generally bullish on ABNB, we might expect to see higher probabilities assigned to the ‘Up’ outcome in this market, but that isn’t always the case. Examining these differences can reveal valuable insights into market expectations.

On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief about whether Airbnb’s stock will be up or down on November 2. The price of these shares directly reflects the probability of that outcome, as determined by supply and demand. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to reflect the collective intelligence of the crowd. The market’s depth and volume indicate the level of confidence participants have in their predictions, providing a dynamic and real-time assessment of potential price movement.

This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the closing price of Airbnb stock on November 2 will be used to determine whether the market settles in favor of the ‘Up’ or ‘Down’ outcome. The resolution will be based on a widely recognized financial data source, ensuring a transparent and objective assessment. Traders will then be able to claim their winnings or adjust their strategies based on the final result of this prediction.

Several signals and events could significantly move this market before Nov 2, 2026. Major economic data releases, such as inflation reports or GDP figures, could influence investor sentiment towards growth stocks like Airbnb. Company-specific news, including earnings reports, changes in leadership, or announcements regarding new initiatives, would also be key catalysts. Unexpected geopolitical events or shifts in travel trends could also impact the stock price and, consequently, the probabilities reflected in this market. Monitoring these factors will be crucial for understanding potential price fluctuations.