TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 2, 4:00 PM EST
Polymarket
This market will resolve to "Up" if the Close price for Airbnb, Inc. (ABNB) on July 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 July 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).
This market will resolve to "Up" if the Close price for Airbnb, Inc. (ABNB) on July 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 July 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).
Prediction market odds and traditional analyst forecasts operate on different timescales and methodologies. Analysts typically publish quarterly or annual price targets based on fundamental research, while this market aggregates real-time trader sentiment on a single discrete outcome over a short window. Prediction markets often react faster to breaking news and earnings surprises, whereas analyst updates lag by days or weeks. Neither is inherently more accurate; prediction markets excel at pricing near-term event risk, while analyst consensus may better reflect long-term value. Comparing the two can reveal whether traders are pricing in information analysts have not yet incorporated.
On Polymarket, this market is priced through an automated market maker that sets odds based on the ratio of shares held in each outcome pool. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy shares of either outcome—ABNB up or down on July 2—and the price adjusts dynamically as the pool balance shifts. Higher demand for one outcome drives its price up and the competing outcome's price down, creating a continuous discovery mechanism. The implied probability for each outcome is derived directly from the current share price, allowing traders to enter or exit positions at any time before market close. Liquidity and trading volume influence how quickly prices move in response to new information.
This market resolves around Jul 2, 2026, once the trading day closes and ABNB's final stock price is confirmed. The outcome is determined by whether the closing price on that date is higher or lower than the opening price, verified against credible public sources such as major financial data providers or official exchange records. Traders holding shares of the winning outcome receive their payout, while losing shares expire worthless. The resolution is binary and objective, leaving no room for interpretation once the market closes.
Several catalysts could shift trader positioning before Jul 2, 2026. Earnings surprises, guidance revisions, or major announcements from Airbnb's leadership would likely trigger sharp repricing. Broader market moves—such as shifts in travel demand, interest rate expectations, or tech sector sentiment—can also influence the stock. Macroeconomic data releases, competitor news, or regulatory developments affecting short-term rental markets may sway sentiment. Intraday volatility, options expiration activity, and index rebalancing can create technical pressure. Real-time monitoring of financial news, social media discussion, and order flow imbalances on this market itself will help traders anticipate and react to these moves.