Meta's stock price outlook for the week of August 3 reflects uncertainty following its July 29 Q2 2026 earnings release, which showed solid revenue growth to $60.8 billion but missed EPS expectations at $6.18 amid elevated AI-related costs and weaker guidance. Traders are weighing the impact of Meta's heavy capital expenditures—now narrowed for the year—on margins and free cash flow, alongside its push to close the gap in frontier AI via the recent Muse Spark model from its Superintelligence Labs. This comes after mixed reception to the 2025 Llama 4 family and a shift toward more controlled development, heightening competition with leaders like OpenAI and Google. With outcomes tightly clustered between $530-$580, sentiment hinges on near-term signals around user engagement trends, advertiser stability, and any updates on AI infrastructure returns before broader market or regulatory factors intervene.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডMeta (META) closes week of Aug 3 at ___?
$550-$560 16%
$540-$550 15%
$560-$570 14%
$530-$540 12%
<$510
5%
$510-$520
6%
$520-$530
9%
$530-$540
12%
$540-$550
15%
$550-$560
16%
$560-$570
14%
$570-$580
12%
$580-$590
8%
$590-$600
6%
>$600
7%
$550-$560 16%
$540-$550 15%
$560-$570 14%
$530-$540 12%
<$510
5%
$510-$520
6%
$520-$530
9%
$530-$540
12%
$540-$550
15%
$550-$560
16%
$560-$570
14%
$570-$580
12%
$580-$590
8%
$590-$600
6%
>$600
7%
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.
মার্কেট ওপেন হয়েছে: Jul 31, 2026, 6:00 PM ET
রেজোলিউশন সোর্স
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x69c47De9D...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.
রেজোলিউশন সোর্স
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x69c47De9D...Meta's stock price outlook for the week of August 3 reflects uncertainty following its July 29 Q2 2026 earnings release, which showed solid revenue growth to $60.8 billion but missed EPS expectations at $6.18 amid elevated AI-related costs and weaker guidance. Traders are weighing the impact of Meta's heavy capital expenditures—now narrowed for the year—on margins and free cash flow, alongside its push to close the gap in frontier AI via the recent Muse Spark model from its Superintelligence Labs. This comes after mixed reception to the 2025 Llama 4 family and a shift toward more controlled development, heightening competition with leaders like OpenAI and Google. With outcomes tightly clustered between $530-$580, sentiment hinges on near-term signals around user engagement trends, advertiser stability, and any updates on AI infrastructure returns before broader market or regulatory factors intervene.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
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