Meta Platforms shares closed near $617 on September 4 after advancing on the early-September release of the Muse Spark 1.3 AI model, which improved coding and agentic benchmarks and lifted sentiment around monetization potential. Robust advertising revenue—up 28% year-over-year to $60.8 billion in Q2—continues to support the core business, while the late-August $18 billion child-safety settlement removed a notable overhang despite associated legal charges. Elevated 2026 capital-expenditure guidance of $130–145 billion, driven by AI infrastructure, weighs on near-term margins, yet analyst consensus remains strongly bullish with average price targets above $750. The primary near-term catalyst for the week of September 7 is limited, with focus shifting to the September 23–24 Connect conference for updates on AI agents, glasses, and enterprise offerings that could influence trading levels.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated↑ $680
3%
↑ $670
4%
↑ $660
8%
↑ $650
17%
↑ $640
31%
↑ $630
52%
↑ $620
79%
↓ $610
79%
↓ $600
54%
↓ $590
32%
↓ $580
16%
↓ $570
8%
↓ $560
4%
↓ $550
3%
$252 Vol.
↑ $680
3%
↑ $670
4%
↑ $660
8%
↑ $650
17%
↑ $640
31%
↑ $630
52%
↑ $620
79%
↓ $610
79%
↓ $600
54%
↓ $590
32%
↓ $580
16%
↓ $570
8%
↓ $560
4%
↓ $550
3%
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 4, 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 closed near $617 on September 4 after advancing on the early-September release of the Muse Spark 1.3 AI model, which improved coding and agentic benchmarks and lifted sentiment around monetization potential. Robust advertising revenue—up 28% year-over-year to $60.8 billion in Q2—continues to support the core business, while the late-August $18 billion child-safety settlement removed a notable overhang despite associated legal charges. Elevated 2026 capital-expenditure guidance of $130–145 billion, driven by AI infrastructure, weighs on near-term margins, yet analyst consensus remains strongly bullish with average price targets above $750. The primary near-term catalyst for the week of September 7 is limited, with focus shifting to the September 23–24 Connect conference for updates on AI agents, glasses, and enterprise offerings that could influence trading levels.
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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