Recent positive momentum for Meta stems from the launch and early traction of its Muse AI agent, which quickly reached the top three apps in the U.S. App Store, alongside the release of improved models like Muse Spark 1.3 and the open-weight Muse Glimmer for on-device agentic tasks. JPMorgan upgraded the stock to Overweight with an $820 price target on September 10, highlighting Meta's progress toward frontier AI capabilities and monetization beyond advertising through agents and the Meta Model API. The board's declaration of a new $0.525 quarterly dividend the same day added investor support. With next earnings not due until November, the coming week lacks major company-specific catalysts, leaving sentiment sensitive to broader market moves and any fresh AI updates or regulatory signals.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedNEW
Sep 18, 2026
$590
91%
$600
89%
$610
88%
$620
80%
$630
68%
$640
55%
$650
45%
$660
34%
$670
25%
$680
18%
$690
12%
$700
9%
$710
11%
$0.00 Vol.
$590
$0 Vol.
91%
$600
$0 Vol.
89%
$610
$0 Vol.
88%
$620
$0 Vol.
80%
$630
$0 Vol.
68%
$640
$0 Vol.
55%
$650
$0 Vol.
45%
$660
$0 Vol.
34%
$670
$0 Vol.
25%
$680
$0 Vol.
18%
$690
$0 Vol.
12%
$700
$0 Vol.
9%
$710
$0 Vol.
11%
This market will resolve to "Yes" if the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
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.Recent positive momentum for Meta stems from the launch and early traction of its Muse AI agent, which quickly reached the top three apps in the U.S. App Store, alongside the release of improved models like Muse Spark 1.3 and the open-weight Muse Glimmer for on-device agentic tasks. JPMorgan upgraded the stock to Overweight with an $820 price target on September 10, highlighting Meta's progress toward frontier AI capabilities and monetization beyond advertising through agents and the Meta Model API. The board's declaration of a new $0.525 quarterly dividend the same day added investor support. With next earnings not due until November, the coming week lacks major company-specific catalysts, leaving sentiment sensitive to broader market moves and any fresh AI updates or regulatory signals.
This market will resolve to "Yes" if the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
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.
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.
Market Opened: Sep 11, 2026, 6:00 PM ET
Volume
$0End Date
Sep 18, 2026Market Opened
Sep 11, 2026, 6:00 PM ETResolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...This market will resolve to "Yes" if the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
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.Recent positive momentum for Meta stems from the launch and early traction of its Muse AI agent, which quickly reached the top three apps in the U.S. App Store, alongside the release of improved models like Muse Spark 1.3 and the open-weight Muse Glimmer for on-device agentic tasks. JPMorgan upgraded the stock to Overweight with an $820 price target on September 10, highlighting Meta's progress toward frontier AI capabilities and monetization beyond advertising through agents and the Meta Model API. The board's declaration of a new $0.525 quarterly dividend the same day added investor support. With next earnings not due until November, the coming week lacks major company-specific catalysts, leaving sentiment sensitive to broader market moves and any fresh AI updates or regulatory signals.
This market will resolve to "Yes" if the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
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.
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.
Volume
$0End Date
Sep 18, 2026Market Opened
Sep 11, 2026, 6:00 PM ETResolution Source
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Recent positive momentum for Meta stems from the launch and early traction of its Muse AI agent, which quickly reached the top three apps in the U.S. App Store, alongside the release of improved models like Muse Spark 1.3 and the open-weight Muse Glimmer for on-device agentic tasks. JPMorgan upgraded the stock to Overweight with an $820 price target on September 10, highlighting Meta's progress toward frontier AI capabilities and monetization beyond advertising through agents and the Meta Model API. The board's declaration of a new $0.525 quarterly dividend the same day added investor support. With next earnings not due until November, the coming week lacks major company-specific catalysts, leaving sentiment sensitive to broader market moves and any fresh AI updates or regulatory signals.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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