Meta's shares, trading near $557 after a post-earnings selloff, reflect investor focus on the company's July 29 Q2 2026 results, which showed revenue of $60.8 billion beating estimates but EPS of $6.18 missing consensus amid elevated legal and severance costs. Guidance for Q3 revenue between $61-64 billion fell short of analyst expectations at the midpoint, while management raised full-year capital expenditure plans to $130-145 billion to fund AI infrastructure, compressing free cash flow and operating margins to 31%. Analyst price targets have been revised lower across multiple firms, with the consensus average now around $790 amid ongoing concerns over AI spend efficiency versus ad revenue growth of 28% year-over-year. Traders are monitoring near-term share price volatility against broader tech sector moves and any updates on regulatory or macroeconomic catalysts through the week.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于↑ $620
6%
↑ $610
11%
↑ $600
18%
↑ $590
36%
↑ $580
55%
↑ $570
82%
↑ $560
87%
↓ $550
54%
↓ $540
35%
↓ $530
21%
↓ $520
14%
↓ $510
6%
↓ $500
4%
↓ $490
3%
$1,046 交易量
↑ $620
6%
↑ $610
11%
↑ $600
18%
↑ $590
36%
↑ $580
55%
↑ $570
82%
↑ $560
87%
↓ $550
54%
↓ $540
35%
↓ $530
21%
↓ $520
14%
↓ $510
6%
↓ $500
4%
↓ $490
3%
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" 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 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.
市场开放时间: Jul 31, 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" 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 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's shares, trading near $557 after a post-earnings selloff, reflect investor focus on the company's July 29 Q2 2026 results, which showed revenue of $60.8 billion beating estimates but EPS of $6.18 missing consensus amid elevated legal and severance costs. Guidance for Q3 revenue between $61-64 billion fell short of analyst expectations at the midpoint, while management raised full-year capital expenditure plans to $130-145 billion to fund AI infrastructure, compressing free cash flow and operating margins to 31%. Analyst price targets have been revised lower across multiple firms, with the consensus average now around $790 amid ongoing concerns over AI spend efficiency versus ad revenue growth of 28% year-over-year. Traders are monitoring near-term share price volatility against broader tech sector moves and any updates on regulatory or macroeconomic catalysts through the week.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于


警惕外部链接哦。
警惕外部链接哦。
常见问题