Meta Platforms reported Q2 2026 revenue of $60.8 billion, up 28% year-over-year and ahead of estimates, driven by advertising strength, yet EPS of $6.18 missed consensus due to legal provisions and severance costs, triggering an initial post-earnings decline to a 52-week low near $520. Shares have since recovered toward $559 amid broader technology-sector momentum and sustained AI infrastructure commitments that elevated full-year capex guidance to $135–145 billion. With average analyst price targets near $785 and ongoing legal overhangs creating valuation uncertainty, trader positioning for the week of August 24 reflects sensitivity to any fresh macroeconomic data, regulatory developments, or updates on digital-advertising trends that could shift implied probabilities around near-term share-price thresholds.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated↑ $620
5%
↑ $610
7%
↑ $600
12%
↑ $590
22%
↑ $580
39%
↑ $570
64%
↓ $540
34%
↓ $530
16%
↓ $520
9%
↓ $510
5%
↓ $500
7%
↓ $490
3%
$5,101 Vol.
↑ $620
5%
↑ $610
7%
↑ $600
12%
↑ $590
22%
↑ $580
39%
↑ $570
64%
↓ $540
34%
↓ $530
16%
↓ $520
9%
↓ $510
5%
↓ $500
7%
↓ $490
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: Aug 21, 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 reported Q2 2026 revenue of $60.8 billion, up 28% year-over-year and ahead of estimates, driven by advertising strength, yet EPS of $6.18 missed consensus due to legal provisions and severance costs, triggering an initial post-earnings decline to a 52-week low near $520. Shares have since recovered toward $559 amid broader technology-sector momentum and sustained AI infrastructure commitments that elevated full-year capex guidance to $135–145 billion. With average analyst price targets near $785 and ongoing legal overhangs creating valuation uncertainty, trader positioning for the week of August 24 reflects sensitivity to any fresh macroeconomic data, regulatory developments, or updates on digital-advertising trends that could shift implied probabilities around near-term share-price thresholds.
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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