Airbnb shares plunged 7.56% to close at $149.58 on September 23 amid sector-wide travel weakness and investor concerns over AI tools like Meta’s Muse potentially disrupting bookings, with Expedia also declining sharply. The drop followed a week of elevated volatility, as the stock fell from $166.84 on September 21 and $161.81 on September 22. Despite the sell-off, Q2 results showed robust 17% revenue growth to $3.61 billion, 16% gross booking value expansion, and raised full-year guidance for at least mid-teens revenue growth with adjusted EBITDA margins of 35.5% or higher. Analysts maintain a moderate buy consensus with average price targets near $183, while next earnings are slated for November 5. Market-implied odds for weekly price thresholds reflect this recent downside pressure and heightened short-term uncertainty.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วWhat will Airbnb, Inc. (ABNB) hit Week of September 21 2026?
$41,379 ปริมาณ
↑ $180
1%
↑ $178
1%
↑ $176
10%
↑ $174
10%
↑ $172
8%
↑ $170
7%
↑ $168
8%
↑ $166
50%
↑ $164
33%
↑ $158
10%
↑ $156
16%
↑ $154
36%
↓ $148
59%
$41,379 ปริมาณ
↑ $180
1%
↑ $178
1%
↑ $176
10%
↑ $174
10%
↑ $172
8%
↑ $170
7%
↑ $168
8%
↑ $166
50%
↑ $164
33%
↑ $158
10%
↑ $156
16%
↑ $154
36%
↓ $148
59%
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. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market is Pyth — specifically, the Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%2FUSD, with the chart settings configured for 1-minute candles.
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)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
ตลาดเปิดเมื่อ: Sep 18, 2026, 6:00 PM ET
แหล่งข้อมูลการตัดสินผล
https://pythdata.app/explore/Equity.US.ABNB%2FUSDผู้ตัดสินผล
0x65070be91...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. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market is Pyth — specifically, the Airbnb, Inc. (ABNB) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.ABNB%2FUSD, with the chart settings configured for 1-minute candles.
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)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
แหล่งข้อมูลการตัดสินผล
https://pythdata.app/explore/Equity.US.ABNB%2FUSDผู้ตัดสินผล
0x65070be91...Airbnb shares plunged 7.56% to close at $149.58 on September 23 amid sector-wide travel weakness and investor concerns over AI tools like Meta’s Muse potentially disrupting bookings, with Expedia also declining sharply. The drop followed a week of elevated volatility, as the stock fell from $166.84 on September 21 and $161.81 on September 22. Despite the sell-off, Q2 results showed robust 17% revenue growth to $3.61 billion, 16% gross booking value expansion, and raised full-year guidance for at least mid-teens revenue growth with adjusted EBITDA margins of 35.5% or higher. Analysts maintain a moderate buy consensus with average price targets near $183, while next earnings are slated for November 5. Market-implied odds for weekly price thresholds reflect this recent downside pressure and heightened short-term uncertainty.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว


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