Meta Platforms shares surged over 11% on September 21 to close at $741.25 amid early traction for its Muse AI agent, which topped Apple's U.S. App Store charts shortly after launch, prompting Wells Fargo to lift its price target to $796 from $640. The move extended a roughly 33% monthly advance fueled by robust advertising revenue growth—Family of Apps ads rose 27% year-over-year in Q2—and AI-driven improvements in ad targeting, though elevated capital expenditures of $130–145 billion for 2026 continue to pressure free cash flow. With Q3 revenue guided at $61–64 billion and earnings due October 28, traders are monitoring Meta Connect later this week for further product updates on smart glasses and agentic AI that could influence near-term valuation multiples around 26–28 times trailing earnings.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$35,648 Vol.
↑ $790
21%
↑ $780
34%
↑ $770
47%
↑ $760
61%
↑ $750
76%
↓ $730
74%
↓ $720
56%
↓ $710
40%
↓ $700
27%
↓ $660
5%
↓ $650
3%
↓ $640
2%
↓ $630
1%
↓ $620
1%
↓ $610
1%
↓ $600
1%
$35,648 Vol.
↑ $790
21%
↑ $780
34%
↑ $770
47%
↑ $760
61%
↑ $750
76%
↓ $730
74%
↓ $720
56%
↓ $710
40%
↓ $700
27%
↓ $660
5%
↓ $650
3%
↓ $640
2%
↓ $630
1%
↓ $620
1%
↓ $610
1%
↓ $600
1%
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 22, 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 shares surged over 11% on September 21 to close at $741.25 amid early traction for its Muse AI agent, which topped Apple's U.S. App Store charts shortly after launch, prompting Wells Fargo to lift its price target to $796 from $640. The move extended a roughly 33% monthly advance fueled by robust advertising revenue growth—Family of Apps ads rose 27% year-over-year in Q2—and AI-driven improvements in ad targeting, though elevated capital expenditures of $130–145 billion for 2026 continue to pressure free cash flow. With Q3 revenue guided at $61–64 billion and earnings due October 28, traders are monitoring Meta Connect later this week for further product updates on smart glasses and agentic AI that could influence near-term valuation multiples around 26–28 times trailing earnings.
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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