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icon for Meta (META) closes week of Aug 3 at ___?

Meta (META) closes week of Aug 3 at ___?

icon for Meta (META) closes week of Aug 3 at ___?

Meta (META) closes week of Aug 3 at ___?

Aug 7

Aug 7

<$510 50%

$510-$520 50%

$520-$530 50%

$530-$540 50%

Polymarket
BARU

<$510 50%

$510-$520 50%

$520-$530 50%

$530-$540 50%

Polymarket
BARU

<$510

$0 Vol.

50%

$510-$520

$0 Vol.

50%

$520-$530

$0 Vol.

50%

$530-$540

$0 Vol.

50%

$540-$550

$0 Vol.

50%

$550-$560

$0 Vol.

50%

$560-$570

$0 Vol.

50%

$570-$580

$0 Vol.

50%

$580-$590

$0 Vol.

50%

$590-$600

$0 Vol.

50%

>$600

$0 Vol.

46%

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.Recent earnings momentum and Meta's accelerating AI infrastructure investments have left traders divided on the stock's near-term trajectory, with current prices hovering near 550-560 after July's volatility. Competitive pressures from rivals like Google and OpenAI in large language model development, alongside ongoing regulatory scrutiny of data practices and advertising, contribute to the balanced probabilities across 510-600 ranges. Absent major product launches or policy shifts in the immediate window, weekly outcomes hinge on broader tech sector sentiment and any fresh updates on capital expenditures or user engagement metrics. This equilibrium reflects the wisdom of crowds pricing in both upside from AI capabilities and downside risks from macroeconomic or competitive factors.

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
Aug 7, 2026
Pasar Dibuka
Jul 31, 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.Recent earnings momentum and Meta's accelerating AI infrastructure investments have left traders divided on the stock's near-term trajectory, with current prices hovering near 550-560 after July's volatility. Competitive pressures from rivals like Google and OpenAI in large language model development, alongside ongoing regulatory scrutiny of data practices and advertising, contribute to the balanced probabilities across 510-600 ranges. Absent major product launches or policy shifts in the immediate window, weekly outcomes hinge on broader tech sector sentiment and any fresh updates on capital expenditures or user engagement metrics. This equilibrium reflects the wisdom of crowds pricing in both upside from AI capabilities and downside risks from macroeconomic or competitive factors.

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
Aug 7, 2026
Pasar Dibuka
Jul 31, 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 3 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 "<$510" di 50%, diikuti oleh "$510-$520" di 50%. Harga mencerminkan probabilitas crowd-sourced real-time. Misalnya, saham yang dihargai 50¢ menyiratkan bahwa pasar secara kolektif memberikan peluang 50% 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 3 at ___?" adalah pasar yang baru dibuat di Polymarket, diluncurkan pada Jul 31, 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 3 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 3 at ___?" adalah "<$510" di 50%, yang berarti pasar memberikan peluang 50% pada hasil tersebut. Hasil terdekat berikutnya adalah "$510-$520" di 50%. 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 3 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.