Meta Platforms (META) shares tumbled roughly 9% over the last two sessions to $608.75 as of May 1, 2026 close, driven by the April 29 Q1 earnings report that delivered 33% revenue growth to $56.31 billion and adjusted EPS of $7.31 versus $6.79 estimates, fueled by resilient advertising demand. However, upward revisions to 2026 capital expenditures for AI data centers and infrastructure reignited investor worries over margin compression, overshadowing user growth and AI advancements highlighted in the earnings call. Trading volume spiked amid the post-earnings volatility, with shares now below the 50-day moving average of $631. Analyst consensus holds a strong buy rating and $841 average price target, implying 38% upside; next week's price action for the May 4 week will likely track tech sector momentum, broader market risk appetite, and any follow-on commentary from management.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado↑ $670
50%
↑ $660
50%
↑ $650
50%
↑ $640
50%
↑ $630
50%
↑ $620
50%
↑ $610
50%
↓ $600
49%
↓ $590
50%
↓ $580
48%
↓ $570
50%
↓ $560
48%
↓ $550
50%
↓ $540
48%
$0.00 Vol.
↑ $670
50%
↑ $660
50%
↑ $650
50%
↑ $640
50%
↑ $630
50%
↑ $620
50%
↑ $610
50%
↓ $600
49%
↓ $590
50%
↓ $580
48%
↓ $570
50%
↓ $560
48%
↓ $550
50%
↓ $540
48%
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.
Mercado abierto: May 1, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x65070BE91...Meta Platforms (META) shares tumbled roughly 9% over the last two sessions to $608.75 as of May 1, 2026 close, driven by the April 29 Q1 earnings report that delivered 33% revenue growth to $56.31 billion and adjusted EPS of $7.31 versus $6.79 estimates, fueled by resilient advertising demand. However, upward revisions to 2026 capital expenditures for AI data centers and infrastructure reignited investor worries over margin compression, overshadowing user growth and AI advancements highlighted in the earnings call. Trading volume spiked amid the post-earnings volatility, with shares now below the 50-day moving average of $631. Analyst consensus holds a strong buy rating and $841 average price target, implying 38% upside; next week's price action for the May 4 week will likely track tech sector momentum, broader market risk appetite, and any follow-on commentary from management.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
Preguntas frecuentes