Meta Platforms shares closed at $648.03 on September 11, 2026, amid a recent rally fueled by the September 2 launch of the Muse Spark 1.3 AI model and JPMorgan’s September 10 upgrade to Overweight with an $820 price target. Traders are pricing in continued advertising revenue momentum following Q2 2026 results of $60.8 billion, up 28% year-over-year, alongside the board’s September 10 declaration of a $0.525 quarterly dividend payable September 28. The stock trades at roughly 20 times forward earnings with a consensus analyst target near $754, reflecting optimism over AI-driven monetization despite elevated capital expenditures. The next earnings release is scheduled for October 28, leaving the September 14–18 trading week sensitive to any incremental AI or regulatory updates.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado↑ $710
12%
↑ $700
8%
↑ $690
14%
↑ $680
20%
↑ $670
28%
↑ $660
58%
↑ $650
87%
↓ $640
88%
↓ $630
75%
↓ $620
44%
↓ $610
20%
↓ $600
12%
↓ $590
8%
↓ $580
10%
$100 Vol.
↑ $710
12%
↑ $700
8%
↑ $690
14%
↑ $680
20%
↑ $670
28%
↑ $660
58%
↑ $650
87%
↓ $640
88%
↓ $630
75%
↓ $620
44%
↓ $610
20%
↓ $600
12%
↓ $590
8%
↓ $580
10%
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 Meta Platforms, Inc. (META) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.META%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.META%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.
Mercado abierto: Sep 11, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
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 Meta Platforms, Inc. (META) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.META%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.META%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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta Platforms shares closed at $648.03 on September 11, 2026, amid a recent rally fueled by the September 2 launch of the Muse Spark 1.3 AI model and JPMorgan’s September 10 upgrade to Overweight with an $820 price target. Traders are pricing in continued advertising revenue momentum following Q2 2026 results of $60.8 billion, up 28% year-over-year, alongside the board’s September 10 declaration of a $0.525 quarterly dividend payable September 28. The stock trades at roughly 20 times forward earnings with a consensus analyst target near $754, reflecting optimism over AI-driven monetization despite elevated capital expenditures. The next earnings release is scheduled for October 28, leaving the September 14–18 trading week sensitive to any incremental AI or regulatory updates.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado


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