Meta's recent rollout of the Meta One subscription tier and the Muse personal AI agent has fueled positive trader sentiment around its artificial intelligence capabilities and monetization potential. The Sept. 15 launch of Meta One, already attracting millions of subscribers with enhanced AI tools for content creation and business features across Instagram, Facebook, and WhatsApp, builds on the earlier Muse Spark model updates that narrow the gap with leading large language models from competitors. This momentum, alongside heavy ongoing data-center investments and a recent stock climb from sub-$600 levels in late August to near $690 highs, supports expectations for a strong end-September close despite daily volatility and elevated capex. No major earnings or regulatory catalysts are imminent before month-end.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateWill Meta (META) close above ___ end of September?
$460
98%
$480
98%
$500
98%
$520
97%
$540
97%
$560
97%
$580
97%
$600
95%
$620
92%
$640
85%
$660
71%
$680
43%
$700
36%
$737 Vol.
$460
98%
$480
98%
$500
98%
$520
97%
$540
97%
$560
97%
$580
97%
$600
95%
$620
92%
$640
85%
$660
71%
$680
43%
$700
36%
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.
Binuksan ang Market: Aug 28, 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 recent rollout of the Meta One subscription tier and the Muse personal AI agent has fueled positive trader sentiment around its artificial intelligence capabilities and monetization potential. The Sept. 15 launch of Meta One, already attracting millions of subscribers with enhanced AI tools for content creation and business features across Instagram, Facebook, and WhatsApp, builds on the earlier Muse Spark model updates that narrow the gap with leading large language models from competitors. This momentum, alongside heavy ongoing data-center investments and a recent stock climb from sub-$600 levels in late August to near $690 highs, supports expectations for a strong end-September close despite daily volatility and elevated capex. No major earnings or regulatory catalysts are imminent before month-end.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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