Meta Platforms (META) shares closed near $665 on September 14, 2026, reflecting recent gains driven by the September 8 launch of the Muse personal AI agent and JPMorgan’s upgrade to Overweight with an $820 price target. Q2 2026 results showed revenue of $60.8 billion, up 28% year-over-year on strong advertising demand, though net income fell 14% amid elevated legal charges and infrastructure costs. Full-year 2026 capital expenditure guidance of $130–145 billion underscores ongoing AI infrastructure investments that continue to weigh on near-term margins despite growing adoption of AI ad tools. The company also declared a $0.525 quarterly dividend payable September 28, with the record date falling on September 21. These factors, alongside reduced regulatory overhang from the teen safety settlement, shape current trader focus on AI monetization progress versus spending pressures.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$10,276 Vol.
↑ $720
11%
↑ $710
20%
↑ $700
32%
↑ $690
66%
↑ $680
72%
↓ $650
43%
↓ $640
28%
↓ $630
17%
↓ $620
11%
↓ $610
5%
↓ $600
3%
↓ $590
6%
↓ $580
2%
$10,276 Vol.
↑ $720
11%
↑ $710
20%
↑ $700
32%
↑ $690
66%
↑ $680
72%
↓ $650
43%
↓ $640
28%
↓ $630
17%
↓ $620
11%
↓ $610
5%
↓ $600
3%
↓ $590
6%
↓ $580
2%
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.
Market Opened: Sep 14, 2026, 12:37 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 (META) shares closed near $665 on September 14, 2026, reflecting recent gains driven by the September 8 launch of the Muse personal AI agent and JPMorgan’s upgrade to Overweight with an $820 price target. Q2 2026 results showed revenue of $60.8 billion, up 28% year-over-year on strong advertising demand, though net income fell 14% amid elevated legal charges and infrastructure costs. Full-year 2026 capital expenditure guidance of $130–145 billion underscores ongoing AI infrastructure investments that continue to weigh on near-term margins despite growing adoption of AI ad tools. The company also declared a $0.525 quarterly dividend payable September 28, with the record date falling on September 21. These factors, alongside reduced regulatory overhang from the teen safety settlement, shape current trader focus on AI monetization progress versus spending pressures.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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