Meta's Q2 2026 earnings release on July 29 stands as the dominant near-term catalyst for the closely contested price-range outcomes, with traders weighing expected revenue growth against elevated AI infrastructure spending. Recent official updates on the Muse Spark large language model improvements, Iris AI chip production ramp starting in September, and raised 2026 capex guidance to $125–145 billion underscore Meta's aggressive positioning in artificial intelligence amid competition from OpenAI, Google, and others. Current share price volatility around $595–$627 reflects market digestion of these dynamics ahead of the report, with resolution thresholds hinging on whether results affirm advertiser strength and AI monetization progress or highlight execution risks in the competitive large language model landscape.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert<$550 48%
>$640 48%
$560-$570 12%
$580-$590 12%
<$550
48%
$550-$560
11%
$560-$570
12%
$570-$580
11%
$580-$590
12%
$590-$600
12%
$600-$610
12%
$610-$620
12%
$620-$630
11%
$630-$640
11%
>$640
48%
<$550 48%
>$640 48%
$560-$570 12%
$580-$590 12%
<$550
48%
$550-$560
11%
$560-$570
12%
$570-$580
11%
$580-$590
12%
$590-$600
12%
$600-$610
12%
$610-$620
12%
$620-$630
11%
$630-$640
11%
>$640
48%
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.
Markt eröffnet: Jul 24, 2026, 6:00 PM ET
Abwicklungsquelle
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.
Abwicklungsquelle
https://pythdata.app/explore/Equity.US.META%2FUSDResolver
0x69c47De9D...Meta's Q2 2026 earnings release on July 29 stands as the dominant near-term catalyst for the closely contested price-range outcomes, with traders weighing expected revenue growth against elevated AI infrastructure spending. Recent official updates on the Muse Spark large language model improvements, Iris AI chip production ramp starting in September, and raised 2026 capex guidance to $125–145 billion underscore Meta's aggressive positioning in artificial intelligence amid competition from OpenAI, Google, and others. Current share price volatility around $595–$627 reflects market digestion of these dynamics ahead of the report, with resolution thresholds hinging on whether results affirm advertiser strength and AI monetization progress or highlight execution risks in the competitive large language model landscape.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert


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