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icon for Meta (META) closes week of Aug 31 at ___?

Meta (META) closes week of Aug 31 at ___?

icon for Meta (META) closes week of Aug 31 at ___?

Meta (META) closes week of Aug 31 at ___?

Sep 4

Sep 4

$600-$610 49%

<$530 48%

$540-$550 48%

$590-$600 47%

Polymarket
BARU

$600-$610 49%

<$530 48%

$540-$550 48%

$590-$600 47%

Polymarket
BARU

<$530

$0 Vol.

48%

$530-$540

$0 Vol.

46%

$540-$550

$0 Vol.

48%

$550-$560

$0 Vol.

45%

$560-$570

$0 Vol.

45%

$570-$580

$0 Vol.

45%

$580-$590

$0 Vol.

45%

$590-$600

$0 Vol.

47%

$600-$610

$0 Vol.

49%

$610-$620

$0 Vol.

47%

>$620

$0 Vol.

44%

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.Meta's stock has traded near $578 amid ongoing heavy AI infrastructure spending, with Q2 results showing 28% revenue growth to $60.8 billion from ad gains and AI-enhanced recommendations offset by a 91% drop in free cash flow and missed EPS estimates. Traders see the $570–580 range as most likely for the week of August 31 close, reflecting the balance between Meta's expanding large language model capabilities like Muse Spark, Ray-Ban Meta AI glasses momentum, and sustained user engagement on Instagram and Threads versus elevated 2026 capex guidance of $130–145 billion. Volatility in recent sessions and broader tech sector pressures keep adjacent $560–570 and higher buckets competitive, with limited near-term catalysts beyond macroeconomic signals.

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.
Volume
$0
Tanggal Berakhir
Sep 4, 2026
Pasar Dibuka
Aug 28, 2026, 6:00 PM ET
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.
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.Meta's stock has traded near $578 amid ongoing heavy AI infrastructure spending, with Q2 results showing 28% revenue growth to $60.8 billion from ad gains and AI-enhanced recommendations offset by a 91% drop in free cash flow and missed EPS estimates. Traders see the $570–580 range as most likely for the week of August 31 close, reflecting the balance between Meta's expanding large language model capabilities like Muse Spark, Ray-Ban Meta AI glasses momentum, and sustained user engagement on Instagram and Threads versus elevated 2026 capex guidance of $130–145 billion. Volatility in recent sessions and broader tech sector pressures keep adjacent $560–570 and higher buckets competitive, with limited near-term catalysts beyond macroeconomic signals.

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.
Volume
$0
Tanggal Berakhir
Sep 4, 2026
Pasar Dibuka
Aug 28, 2026, 6:00 PM ET
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.

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Pertanyaan yang Sering Diajukan

"Meta (META) closes week of Aug 31 at ___?" adalah pasar prediksi di Polymarket dengan 11 hasil yang mungkin di mana trader membeli dan menjual saham berdasarkan apa yang mereka yakini akan terjadi. Hasil terdepan saat ini adalah "$600-$610" di 49%, diikuti oleh "<$530" di 48%. Harga mencerminkan probabilitas crowd-sourced real-time. Misalnya, saham yang dihargai 49¢ menyiratkan bahwa pasar secara kolektif memberikan peluang 49% pada hasil tersebut. Peluang ini bergeser terus-menerus saat trader bereaksi terhadap perkembangan dan informasi baru. Saham dengan hasil yang benar bisa ditukarkan seharga $1 setiap saham saat pasar diselesaikan.

"Meta (META) closes week of Aug 31 at ___?" adalah pasar yang baru dibuat di Polymarket, diluncurkan pada Aug 28, 2026. Sebagai pasar awal, ini adalah kesempatanmu untuk menjadi salah satu trader pertama yang menetapkan peluang dan membangun sinyal harga awal pasar. Kamu juga bisa menandai halaman ini untuk melacak volume dan aktivitas trading seiring pasar mendapatkan traksi.

Untuk trading di "Meta (META) closes week of Aug 31 at ___?," jelajahi 11 hasil yang tersedia di halaman ini. Setiap hasil menampilkan harga saat ini yang mewakili probabilitas tersirat pasar. Untuk mengambil posisi, pilih hasil yang menurutmu paling mungkin, pilih "Ya" untuk mendukungnya atau "Tidak" untuk menentangnya, masukkan jumlahmu, dan klik "Trade." Jika hasil pilihanmu benar saat pasar diselesaikan, saham "Ya" kamu membayar $1 masing-masing. Jika salah, mereka membayar $0. Kamu juga bisa menjual sahammu kapan saja sebelum resolusi jika kamu ingin mengamankan keuntungan atau memotong kerugian.

Unggulan saat ini untuk "Meta (META) closes week of Aug 31 at ___?" adalah "$600-$610" di 49%, yang berarti pasar memberikan peluang 49% pada hasil tersebut. Hasil terdekat berikutnya adalah "<$530" di 48%. Peluang ini diperbarui secara real-time saat trader membeli dan menjual saham, sehingga mencerminkan pandangan kolektif terbaru tentang apa yang paling mungkin terjadi. Cek kembali secara rutin atau tandai halaman ini untuk mengikuti bagaimana peluang bergeser saat informasi baru muncul.

Aturan resolusi untuk "Meta (META) closes week of Aug 31 at ___?" mendefinisikan dengan tepat apa yang harus terjadi agar setiap hasil dinyatakan sebagai pemenang — termasuk sumber data resmi yang digunakan untuk menentukan hasilnya. Kamu bisa meninjau kriteria resolusi lengkap di bagian "Aturan" di halaman ini di atas komentar. Kami menyarankan membaca aturan dengan cermat sebelum trading, karena mereka menentukan kondisi tepat, kasus khusus, dan sumber yang mengatur bagaimana pasar ini diselesaikan.