Meta's recent Q2 2026 earnings miss, with EPS at $6.18 versus $7.22 expected and weaker-than-anticipated revenue guidance, has weighed on sentiment amid ballooning capex and sharply lower free cash flow. Traders are focusing on whether sustained AI infrastructure spending, including the Muse Spark 1.1 model release and plans for seven gigawatts of compute this year, can translate into monetization gains or instead continue pressuring margins through August. Advertising revenue growth remains a positive offset, yet the post-earnings stock drop of roughly 7-10% highlights sensitivity to these dynamics. Key upcoming factors include any follow-up commentary on cloud initiatives and broader market reaction to AI competitive positioning versus peers.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$440
50%
$460
50%
$480
50%
$500
50%
$520
50%
$540
50%
$560
50%
$580
50%
$600
50%
$620
50%
$640
50%
$660
50%
$680
50%
$0.00 Vol.
$440
50%
$460
50%
$480
50%
$500
50%
$520
50%
$540
50%
$560
50%
$580
50%
$600
50%
$620
50%
$640
50%
$660
50%
$680
50%
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Meta Platforms, Inc. (META) does not trade at all during the regular session of the final trading day of the month, the market will resolve 50-50.
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.
マーケット開始日: Jul 31, 2026, 6:00 PM ET
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Meta Platforms, Inc. (META) does not trade at all during the regular session of the final trading day of the month, the market will resolve 50-50.
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 recent Q2 2026 earnings miss, with EPS at $6.18 versus $7.22 expected and weaker-than-anticipated revenue guidance, has weighed on sentiment amid ballooning capex and sharply lower free cash flow. Traders are focusing on whether sustained AI infrastructure spending, including the Muse Spark 1.1 model release and plans for seven gigawatts of compute this year, can translate into monetization gains or instead continue pressuring margins through August. Advertising revenue growth remains a positive offset, yet the post-earnings stock drop of roughly 7-10% highlights sensitivity to these dynamics. Key upcoming factors include any follow-up commentary on cloud initiatives and broader market reaction to AI competitive positioning versus peers.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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