Recent momentum in Meta Platforms shares stems from the breakout launch of its Muse personal AI agent, which quickly topped the U.S. App Store, alongside the new Meta One subscription tier offering expanded AI features across its platforms. Traders are pricing in potential catalysts from the September 23 Meta Connect developer conference, where further product and AI announcements could emerge, while the September 21 ex-dividend date adds near-term technical factors. Recent Q2 results showed revenue strength offset by legal and severance charges, with heavy AI infrastructure spending continuing via custom MTIA chips and data centers. Volatility around these events, plus broader tech sector moves and regulatory scrutiny on child safety and partnerships, contributes to the dispersed probability distribution across closing price ranges.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui>$710 16%
$650-$660 15%
$660-$670 14%
$670-$680 14%
<$620
7%
$620-$630
11%
$630-$640
12%
$640-$650
9%
$650-$660
15%
$660-$670
14%
$670-$680
14%
$680-$690
13%
$690-$700
12%
$700-$710
12%
>$710
16%
>$710 16%
$650-$660 15%
$660-$670 14%
$670-$680 14%
<$620
7%
$620-$630
11%
$630-$640
12%
$640-$650
9%
$650-$660
15%
$660-$670
14%
$670-$680
14%
$680-$690
13%
$690-$700
12%
$700-$710
12%
>$710
16%
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.
Pasar Dibuka: Sep 18, 2026, 6:00 PM ET
Sumber Resolusi
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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x69c47De9D...Recent momentum in Meta Platforms shares stems from the breakout launch of its Muse personal AI agent, which quickly topped the U.S. App Store, alongside the new Meta One subscription tier offering expanded AI features across its platforms. Traders are pricing in potential catalysts from the September 23 Meta Connect developer conference, where further product and AI announcements could emerge, while the September 21 ex-dividend date adds near-term technical factors. Recent Q2 results showed revenue strength offset by legal and severance charges, with heavy AI infrastructure spending continuing via custom MTIA chips and data centers. Volatility around these events, plus broader tech sector moves and regulatory scrutiny on child safety and partnerships, contributes to the dispersed probability distribution across closing price ranges.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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