Trader sentiment around Meta's closing stock price for the week of Aug 24 shows closely matched probabilities across multiple ranges, reflecting uncertainty driven by the company's aggressive AI infrastructure spending, ongoing advertiser demand on its platforms, and broader market volatility. Recent earnings highlighted revenue growth from artificial intelligence features in advertising, yet high capital expenditures and regulatory pressures on data privacy continue to weigh on valuation multiples. Key swing factors include upcoming developer updates or user engagement metrics that could shift momentum, alongside macroeconomic indicators affecting tech valuations. The spread of odds underscores how even modest positive or negative surprises in competitive positioning versus rivals like Google or TikTok could resolve the deadlock in either direction.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$520-$530 49%
$540-$550 49%
$560-$570 49%
$590-$600 48%
<$510
48%
$510-$520
46%
$520-$530
49%
$530-$540
48%
$540-$550
49%
$550-$560
48%
$560-$570
49%
$570-$580
47%
$580-$590
45%
$590-$600
48%
>$600
48%
$520-$530 49%
$540-$550 49%
$560-$570 49%
$590-$600 48%
<$510
48%
$510-$520
46%
$520-$530
49%
$530-$540
48%
$540-$550
49%
$550-$560
48%
$560-$570
49%
$570-$580
47%
$580-$590
45%
$590-$600
48%
>$600
48%
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
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.
Mercado abierto: Aug 21, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x69c47De9D...If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x69c47De9D...Trader sentiment around Meta's closing stock price for the week of Aug 24 shows closely matched probabilities across multiple ranges, reflecting uncertainty driven by the company's aggressive AI infrastructure spending, ongoing advertiser demand on its platforms, and broader market volatility. Recent earnings highlighted revenue growth from artificial intelligence features in advertising, yet high capital expenditures and regulatory pressures on data privacy continue to weigh on valuation multiples. Key swing factors include upcoming developer updates or user engagement metrics that could shift momentum, alongside macroeconomic indicators affecting tech valuations. The spread of odds underscores how even modest positive or negative surprises in competitive positioning versus rivals like Google or TikTok could resolve the deadlock in either direction.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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Cuidado con los enlaces externos.
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