Recent earnings momentum and Meta's accelerating AI infrastructure investments have left traders divided on the stock's near-term trajectory, with current prices hovering near 550-560 after July's volatility. Competitive pressures from rivals like Google and OpenAI in large language model development, alongside ongoing regulatory scrutiny of data practices and advertising, contribute to the balanced probabilities across 510-600 ranges. Absent major product launches or policy shifts in the immediate window, weekly outcomes hinge on broader tech sector sentiment and any fresh updates on capital expenditures or user engagement metrics. This equilibrium reflects the wisdom of crowds pricing in both upside from AI capabilities and downside risks from macroeconomic or competitive factors.
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$510-$520 50%
$530-$540 50%
<$510 49%
$520-$530 49%
<$510
49%
$510-$520
50%
$520-$530
49%
$530-$540
50%
$540-$550
49%
$550-$560
48%
$560-$570
48%
$570-$580
49%
$580-$590
48%
$590-$600
48%
>$600
46%
$510-$520 50%
$530-$540 50%
<$510 49%
$520-$530 49%
<$510
49%
$510-$520
50%
$520-$530
49%
$530-$540
50%
$540-$550
49%
$550-$560
48%
$560-$570
48%
$570-$580
49%
$580-$590
48%
$590-$600
48%
>$600
46%
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.
マーケット開始日: Jul 31, 2026, 6:00 PM ET
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.
Recent earnings momentum and Meta's accelerating AI infrastructure investments have left traders divided on the stock's near-term trajectory, with current prices hovering near 550-560 after July's volatility. Competitive pressures from rivals like Google and OpenAI in large language model development, alongside ongoing regulatory scrutiny of data practices and advertising, contribute to the balanced probabilities across 510-600 ranges. Absent major product launches or policy shifts in the immediate window, weekly outcomes hinge on broader tech sector sentiment and any fresh updates on capital expenditures or user engagement metrics. This equilibrium reflects the wisdom of crowds pricing in both upside from AI capabilities and downside risks from macroeconomic or competitive factors.
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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