Meta's stock, trading near $545–$550 in late August 2026 after a post-Q2 earnings selloff, reflects trader focus on heavy AI infrastructure spending versus resilient advertising results. July 29 earnings showed revenue rising 28% to $60.8 billion with ad impressions and pricing both up double digits, powered by AI-driven recommendation and delivery improvements, yet EPS missed estimates amid $2.4 billion in legal charges, severance, and sharply higher expenses. Management guided 2026 capex at $130–145 billion to scale custom AI chips and data centers, compressing near-term margins and free cash flow while litigation risks, including an ongoing California youth-safety trial that opened mid-month, add overhang. No major near-term catalysts exist before Q3 results in October, leaving short-term price action dependent on broader tech sentiment and any incremental legal or AI monetization updates.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$440
94%
$460
95%
$480
94%
$500
93%
$520
89%
$540
70%
$560
44%
$580
16%
$600
10%
$620
7%
$640
6%
$660
6%
$680
6%
$1,702 Vol.
$440
94%
$460
95%
$480
94%
$500
93%
$520
89%
$540
70%
$560
44%
$580
16%
$600
10%
$620
7%
$640
6%
$660
6%
$680
6%
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Meta Platforms, Inc. (META) does not trade at all during the regular session of the final trading day of the month, the market will resolve 50-50.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Meta Platforms, Inc. (META) available at https://pythdata.app/explore/Equity.US.META%2FUSD.
Market Opened: Jul 31, 2026, 6:00 PM ET
Resolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Meta Platforms, Inc. (META) does not trade at all during the regular session of the final trading day of the month, the market will resolve 50-50.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Meta Platforms, Inc. (META) available at https://pythdata.app/explore/Equity.US.META%2FUSD.
Resolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta's stock, trading near $545–$550 in late August 2026 after a post-Q2 earnings selloff, reflects trader focus on heavy AI infrastructure spending versus resilient advertising results. July 29 earnings showed revenue rising 28% to $60.8 billion with ad impressions and pricing both up double digits, powered by AI-driven recommendation and delivery improvements, yet EPS missed estimates amid $2.4 billion in legal charges, severance, and sharply higher expenses. Management guided 2026 capex at $130–145 billion to scale custom AI chips and data centers, compressing near-term margins and free cash flow while litigation risks, including an ongoing California youth-safety trial that opened mid-month, add overhang. No major near-term catalysts exist before Q3 results in October, leaving short-term price action dependent on broader tech sentiment and any incremental legal or AI monetization updates.
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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