Meta’s stock closed around $666 on September 18 after a sharp 23% rally over the prior month, fueled by the early-September launch of its Muse personal AI agent that quickly topped U.S. App Store charts and demonstrated agentic capabilities for tasks like bookings and shopping. Trader sentiment for the September 21–25 week centers on the Meta Connect developer conference, with Mark Zuckerberg’s September 23 keynote expected to detail new AI glasses (including camera-free Luna models), expanded Muse Spark features, and potential hardware or subscription updates. High AI-related capital spending and lingering regulatory scrutiny on data centers and youth access remain background risks, yet recent analyst upgrades and revenue diversification signals support expectations that positive announcements could sustain momentum through the period.
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$610
93%
$620
93%
$630
90%
$640
84%
$650
76%
$660
65%
$670
49%
$680
33%
$690
24%
$700
15%
$710
12%
$720
9%
$730
8%
$0.00 Vol.
$610
93%
$620
93%
$630
90%
$640
84%
$650
76%
$660
65%
$670
49%
$680
33%
$690
24%
$700
15%
$710
12%
$720
9%
$730
8%
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 week, 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.
Mercado abierto: Sep 18, 2026, 6:00 PM ET
Fuente de resolución
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 week, 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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta’s stock closed around $666 on September 18 after a sharp 23% rally over the prior month, fueled by the early-September launch of its Muse personal AI agent that quickly topped U.S. App Store charts and demonstrated agentic capabilities for tasks like bookings and shopping. Trader sentiment for the September 21–25 week centers on the Meta Connect developer conference, with Mark Zuckerberg’s September 23 keynote expected to detail new AI glasses (including camera-free Luna models), expanded Muse Spark features, and potential hardware or subscription updates. High AI-related capital spending and lingering regulatory scrutiny on data centers and youth access remain background risks, yet recent analyst upgrades and revenue diversification signals support expectations that positive announcements could sustain momentum through the period.
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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