Meta Platforms (META) shares trade near $580 amid volatility from a $16.68 billion settlement resolving child-safety litigation, which includes a roughly $10 billion Q3 charge but removes a major overhang and allows greater focus on AI initiatives. Second-quarter results showed robust 28% revenue growth to $60.8 billion driven by advertising, though EPS fell 13% to $6.18 on 55% higher expenses tied to AI infrastructure and one-time costs. Analysts maintain a Strong Buy consensus with average 12-month targets around $755, reflecting expectations for continued ad momentum and new AI agent launches. Key near-term catalysts include Q3 revenue guidance of $61–64 billion, heavy capital spending of $130–145 billion for the year, and potential model releases that could influence September price action relative to recent highs near $790.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated↑ $700
11%
↑ $680
16%
↑ $660
24%
↑ $640
26%
↑ $620
51%
↑ $600
72%
↑ $580
77%
↓ $560
86%
↓ $540
54%
↓ $520
35%
↓ $500
20%
↓ $480
12%
↓ $460
7%
↓ $440
5%
$0.00 Vol.
↑ $700
11%
↑ $680
16%
↑ $660
24%
↑ $640
26%
↑ $620
51%
↑ $600
72%
↑ $580
77%
↓ $560
86%
↓ $540
54%
↓ $520
35%
↓ $500
20%
↓ $480
12%
↓ $460
7%
↓ $440
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.
Market Opened: Aug 25, 2026, 12:00 AM 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 trade near $580 amid volatility from a $16.68 billion settlement resolving child-safety litigation, which includes a roughly $10 billion Q3 charge but removes a major overhang and allows greater focus on AI initiatives. Second-quarter results showed robust 28% revenue growth to $60.8 billion driven by advertising, though EPS fell 13% to $6.18 on 55% higher expenses tied to AI infrastructure and one-time costs. Analysts maintain a Strong Buy consensus with average 12-month targets around $755, reflecting expectations for continued ad momentum and new AI agent launches. Key near-term catalysts include Q3 revenue guidance of $61–64 billion, heavy capital spending of $130–145 billion for the year, and potential model releases that could influence September price action relative to recent highs near $790.
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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