Meta’s stock has traded in the mid-to-high $640s recently after surging over 6% on September 9 following the launch of its Muse personal AI agent, which quickly reached top-three rankings in the U.S. App Store with usage exceeding internal projections. Analyst upgrades, including JPMorgan raising its target to $820 on AI monetization potential beyond advertising, plus a new quarterly dividend, have reinforced positive sentiment and supported the 66.5% market-implied probability for a weekly close in the $640–650 range. The 23% odds on $650–660 reflect momentum from these developments, while lower-probability buckets account for typical weekly volatility around current levels near $650. Upcoming catalysts include further Muse adoption metrics and broader AI infrastructure spending updates.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert$640–$650 100.0%
< $570 <1%
$570–$580 <1%
580–590 $ <1%
$10,410 Vol.
$10,410 Vol.
< $570
Nein
$570–$580
Nein
580–590 $
Nein
$590-$600
Nein
$600-$610
Nein
$610–$620
Nein
620–630 $
Nein
630–640 $
Nein
$640–$650
Ja
$650-$660
Nein
>660 $
Nein
$640–$650 100.0%
< $570 <1%
$570–$580 <1%
580–590 $ <1%
$10,410 Vol.
$10,410 Vol.
< $570
Nein
$570–$580
Nein
580–590 $
Nein
$590-$600
Nein
$600-$610
Nein
$610–$620
Nein
620–630 $
Nein
630–640 $
Nein
$640–$650
Ja
$650-$660
Nein
>660 $
Nein
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.
Markt eröffnet: Sep 4, 2026, 6:00 PM ET
Abwicklungsquelle
https://pythdata.app/explore/Equity.US.META%2FUSDAbwickler
0x69c47De9D...Vorgeschlagenes Ergebnis: Nein
Kein Einspruch
Endgültiges Ergebnis: Nein
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.
Abwicklungsquelle
https://pythdata.app/explore/Equity.US.META%2FUSDAbwickler
0x69c47De9D...Vorgeschlagenes Ergebnis: Nein
Kein Einspruch
Endgültiges Ergebnis: Nein
Meta’s stock has traded in the mid-to-high $640s recently after surging over 6% on September 9 following the launch of its Muse personal AI agent, which quickly reached top-three rankings in the U.S. App Store with usage exceeding internal projections. Analyst upgrades, including JPMorgan raising its target to $820 on AI monetization potential beyond advertising, plus a new quarterly dividend, have reinforced positive sentiment and supported the 66.5% market-implied probability for a weekly close in the $640–650 range. The 23% odds on $650–660 reflect momentum from these developments, while lower-probability buckets account for typical weekly volatility around current levels near $650. Upcoming catalysts include further Muse adoption metrics and broader AI infrastructure spending updates.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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