Trader sentiment around Meta's stock closing the week of September 7 shows tight clustering near 45% implied probability across multiple ranges, underscoring uncertainty in near-term moves. Recent AI model updates and advertising platform enhancements have supported revenue growth, yet ongoing regulatory scrutiny over data practices and antitrust concerns creates offsetting pressure. Competitive dynamics with other large language model developers and social platforms add volatility, while any fresh product announcements or earnings signals could quickly realign trader consensus in this skin-in-the-game market.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日570ドル未満 49%
$630～$640 47%
$570～$580 45%
600～610ドル 45%
新規
新規
2026/09/11
570ドル未満
49%
$570～$580
45%
$580～$590
8%
$590〜$600
13%
600～610ドル
45%
$610〜$620
43%
$620〜$630
45%
$630～$640
47%
$640～$650
43%
$650～$660
44%
$660超
45%
570ドル未満 49%
$630～$640 47%
$570～$580 45%
600～610ドル 45%
新規
新規
2026/09/11
570ドル未満
$0 Vol.
49%
$570～$580
$0 Vol.
45%
$580～$590
$0 Vol.
8%
$590〜$600
$0 Vol.
13%
600～610ドル
$0 Vol.
45%
$610〜$620
$0 Vol.
43%
$620〜$630
$0 Vol.
45%
$630～$640
$0 Vol.
47%
$640～$650
$0 Vol.
43%
$650～$660
$0 Vol.
44%
$660超
$0 Vol.
45%
This market will resolve according to the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday).
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.Trader sentiment around Meta's stock closing the week of September 7 shows tight clustering near 45% implied probability across multiple ranges, underscoring uncertainty in near-term moves. Recent AI model updates and advertising platform enhancements have supported revenue growth, yet ongoing regulatory scrutiny over data practices and antitrust concerns creates offsetting pressure. Competitive dynamics with other large language model developers and social platforms add volatility, while any fresh product announcements or earnings signals could quickly realign trader consensus in this skin-in-the-game market.
This market will resolve according to the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday).
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.
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.
マーケット開始日： Sep 4, 2026, 6:00 PM ET
音量
$0終了日
2026/09/11マーケット開始日
Sep 4, 2026, 6:00 PM ETThis market will resolve according to the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday).
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.Trader sentiment around Meta's stock closing the week of September 7 shows tight clustering near 45% implied probability across multiple ranges, underscoring uncertainty in near-term moves. Recent AI model updates and advertising platform enhancements have supported revenue growth, yet ongoing regulatory scrutiny over data practices and antitrust concerns creates offsetting pressure. Competitive dynamics with other large language model developers and social platforms add volatility, while any fresh product announcements or earnings signals could quickly realign trader consensus in this skin-in-the-game market.
This market will resolve according to the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday).
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.
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.
音量
$0終了日
2026/09/11マーケット開始日
Sep 4, 2026, 6:00 PM ETTrader sentiment around Meta's stock closing the week of September 7 shows tight clustering near 45% implied probability across multiple ranges, underscoring uncertainty in near-term moves. Recent AI model updates and advertising platform enhancements have supported revenue growth, yet ongoing regulatory scrutiny over data practices and antitrust concerns creates offsetting pressure. Competitive dynamics with other large language model developers and social platforms add volatility, while any fresh product announcements or earnings signals could quickly realign trader consensus in this skin-in-the-game market.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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