Meta stock surged over 6% on September 9 after the company launched Muse, a personal AI agent capable of performing real-world tasks like booking travel, managing communications, and acting across Meta apps and third-party services, alongside the earlier release of Muse Spark 1.3, a competitive large language model for coding and agentic workflows. Traders view these developments as concrete progress in Meta’s AI strategy, helping close the gap with OpenAI, Anthropic, and Google while opening potential new revenue streams beyond advertising. The recent $18 billion settlement resolving youth social media lawsuits has also removed a key overhang, freeing management focus. Strong Threads user growth to 500 million monthly actives and resilient ad revenue further support bullish sentiment heading into the week’s close.
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) finish week of September 7 above___?
$550
94%
$560
94%
$570
94%
$580
94%
$590
98%
$600
97%
$610
89%
$620
91%
$630
79%
$640
65%
$650
59%
$660
29%
$670
16%
$7,698 Vol.
$550
94%
$560
94%
$570
94%
$580
94%
$590
98%
$600
97%
$610
89%
$620
91%
$630
79%
$640
65%
$650
59%
$660
29%
$670
16%
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.
Binuksan ang Market: Sep 4, 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 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.
Resolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta stock surged over 6% on September 9 after the company launched Muse, a personal AI agent capable of performing real-world tasks like booking travel, managing communications, and acting across Meta apps and third-party services, alongside the earlier release of Muse Spark 1.3, a competitive large language model for coding and agentic workflows. Traders view these developments as concrete progress in Meta’s AI strategy, helping close the gap with OpenAI, Anthropic, and Google while opening potential new revenue streams beyond advertising. The recent $18 billion settlement resolving youth social media lawsuits has also removed a key overhang, freeing management focus. Strong Threads user growth to 500 million monthly actives and resilient ad revenue further support bullish sentiment heading into the week’s close.
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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