Meta Platforms shares trade near $648 amid renewed optimism from the early September launch of its Muse AI agent, which quickly ranked among top apps and prompted JPMorgan’s upgrade to Overweight with an $820 price target. Strong advertising revenue growth of 27% in Q2, supported by AI-enhanced tools, underpins the business, while elevated capital expenditures for AI infrastructure and a $2.4 billion legal charge weighed on July earnings and margins. Analyst consensus targets cluster around $755, reflecting expectations for further AI monetization beyond core ads. The next catalyst is Q3 results scheduled for late October, with revenue guided at $61–64 billion. Trader focus centers on whether AI product traction can sustain momentum through the week.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateWhat will Meta Platforms, Inc. (META) hit Week of September 14 2026?
↑ $710
5%
↑ $700
7%
↑ $690
12%
↑ $680
19%
↑ $670
32%
↑ $660
51%
↑ $650
75%
↓ $640
93%
↓ $630
70%
↓ $620
45%
↓ $610
25%
↓ $600
13%
↓ $590
9%
↓ $580
5%
$317 Vol.
↑ $710
5%
↑ $700
7%
↑ $690
12%
↑ $680
19%
↑ $670
32%
↑ $660
51%
↑ $650
75%
↓ $640
93%
↓ $630
70%
↓ $620
45%
↓ $610
25%
↓ $600
13%
↓ $590
9%
↓ $580
5%
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.
Binuksan ang Market: Sep 11, 2026, 6:00 PM ET
Resolution Source
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.
Resolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta Platforms shares trade near $648 amid renewed optimism from the early September launch of its Muse AI agent, which quickly ranked among top apps and prompted JPMorgan’s upgrade to Overweight with an $820 price target. Strong advertising revenue growth of 27% in Q2, supported by AI-enhanced tools, underpins the business, while elevated capital expenditures for AI infrastructure and a $2.4 billion legal charge weighed on July earnings and margins. Analyst consensus targets cluster around $755, reflecting expectations for further AI monetization beyond core ads. The next catalyst is Q3 results scheduled for late October, with revenue guided at $61–64 billion. Trader focus centers on whether AI product traction can sustain momentum through the week.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update


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