Recent AI product momentum, including the Muse personal agent launch and early app store traction, has driven META shares to close near $648 amid a strong buy analyst consensus and average 12-month price targets around $755–$758. JPMorgan’s upgrade to $820 and similar bullish revisions from peers reflect optimism over AI-enhanced advertising and monetization, with the stock trading at roughly 24 times earnings. The board’s new $0.525 quarterly dividend, payable September 28, adds modest yield support with a record date during the week. Next earnings on October 28 remain the key upcoming catalyst, while favorable court rulings and ongoing infrastructure spending shape the near-term risk-reward profile for price levels that week.
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
7%
↑ $700
11%
↑ $690
18%
↑ $680
31%
↑ $670
47%
↑ $660
68%
↑ $650
88%
↓ $640
78%
↓ $630
55%
↓ $620
36%
↓ $610
21%
↓ $600
12%
↓ $590
7%
↓ $580
11%
$100 Vol.
↑ $710
7%
↑ $700
11%
↑ $690
18%
↑ $680
31%
↑ $670
47%
↑ $660
68%
↑ $650
88%
↓ $640
78%
↓ $630
55%
↓ $620
36%
↓ $610
21%
↓ $600
12%
↓ $590
7%
↓ $580
11%
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...Recent AI product momentum, including the Muse personal agent launch and early app store traction, has driven META shares to close near $648 amid a strong buy analyst consensus and average 12-month price targets around $755–$758. JPMorgan’s upgrade to $820 and similar bullish revisions from peers reflect optimism over AI-enhanced advertising and monetization, with the stock trading at roughly 24 times earnings. The board’s new $0.525 quarterly dividend, payable September 28, adds modest yield support with a record date during the week. Next earnings on October 28 remain the key upcoming catalyst, while favorable court rulings and ongoing infrastructure spending shape the near-term risk-reward profile for price levels that week.
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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