Meta Platforms shares closed near $550 on August 21 after consolidating in the mid-$540s, reflecting lingering pressure from the July 29 Q2 earnings miss. Revenue rose 28% to $60.8 billion and topped estimates, yet EPS fell to $6.18 amid a $2.4 billion legal charge, severance costs, and sharply higher AI-driven operating expenses that compressed margins to 31% and slashed free cash flow. Full-year capex guidance was lifted to $130–145 billion, underscoring the scale of infrastructure spending that has weighed on near-term profitability and valuation multiples. With no major company-specific catalysts scheduled for the week of August 24 and ongoing youth-safety litigation in focus, trader-implied odds center on modest price stability or range-bound movement around current levels versus the higher long-term analyst consensus.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於↑ $620
3%
↑ $610
3%
↑ $600
5%
↑ $590
11%
↑ $580
20%
↑ $570
43%
↑ $560
65%
↓ $550
74%
↓ $540
64%
↓ $530
41%
↓ $520
25%
↓ $510
13%
↓ $500
10%
↓ $490
8%
$15 交易量
↑ $620
3%
↑ $610
3%
↑ $600
5%
↑ $590
11%
↑ $580
20%
↑ $570
43%
↑ $560
65%
↓ $550
74%
↓ $540
64%
↓ $530
41%
↓ $520
25%
↓ $510
13%
↓ $500
10%
↓ $490
8%
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Meta Platforms, Inc. (META) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.META%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.META%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
市場開放時間: Aug 21, 2026, 6:00 PM ET
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Meta Platforms, Inc. (META) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.META%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.META%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Meta Platforms shares closed near $550 on August 21 after consolidating in the mid-$540s, reflecting lingering pressure from the July 29 Q2 earnings miss. Revenue rose 28% to $60.8 billion and topped estimates, yet EPS fell to $6.18 amid a $2.4 billion legal charge, severance costs, and sharply higher AI-driven operating expenses that compressed margins to 31% and slashed free cash flow. Full-year capex guidance was lifted to $130–145 billion, underscoring the scale of infrastructure spending that has weighed on near-term profitability and valuation multiples. With no major company-specific catalysts scheduled for the week of August 24 and ongoing youth-safety litigation in focus, trader-implied odds center on modest price stability or range-bound movement around current levels versus the higher long-term analyst consensus.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於


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警惕外部連結哦。
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