Palantir (PLTR) shares closed September 9 at $169.53 amid elevated volatility following an August rally exceeding 50%, with the market-implied distribution for the week of September 7 reflecting broad uncertainty centered on profit-taking and valuation debates. Strong Q2 2026 results—93% revenue growth to $1.94 billion and raised full-year guidance to roughly 82% expansion—continue to underpin commercial momentum, reinforced by recent sovereign AI partnerships with Nebius and Fujitsu plus cybersecurity initiatives. However, the stock’s premium valuation (trailing P/E near 145) and recent moves by investors such as Cathie Wood trimming holdings have tempered near-term sentiment, while institutional buying provides support. Key swing factors for weekly resolution include broader tech sector flows, any fresh contract announcements, and macroeconomic signals ahead of the next earnings cycle.
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¿Palantir (PLTR) cierra la semana del 7 de septiembre a las ___?
<$166 35%
>$184 20%
$166-$168 16%
$168-$170 15%
<$166
35%
$166-$168
16%
$168-$170
15%
$170-$172
13%
$172-$174
10%
$174-$176
8%
$176-$178
9%
$178-$180
6%
$180-$182
7%
$182-$184
6%
>$184
11%
<$166 35%
>$184 20%
$166-$168 16%
$168-$170 15%
<$166
35%
$166-$168
16%
$168-$170
15%
$170-$172
13%
$172-$174
10%
$174-$176
8%
$176-$178
9%
$178-$180
6%
$180-$182
7%
$182-$184
6%
>$184
11%
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 Palantir Technologies Inc. (PLTR) available at https://pythdata.app/explore/Equity.US.PLTR%2FUSD.
Mercado abierto: Sep 4, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.PLTR%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 Palantir Technologies Inc. (PLTR) available at https://pythdata.app/explore/Equity.US.PLTR%2FUSD.
Fuente de resolución
https://pythdata.app/explore/Equity.US.PLTR%2FUSDResolver
0x69c47De9D...Palantir (PLTR) shares closed September 9 at $169.53 amid elevated volatility following an August rally exceeding 50%, with the market-implied distribution for the week of September 7 reflecting broad uncertainty centered on profit-taking and valuation debates. Strong Q2 2026 results—93% revenue growth to $1.94 billion and raised full-year guidance to roughly 82% expansion—continue to underpin commercial momentum, reinforced by recent sovereign AI partnerships with Nebius and Fujitsu plus cybersecurity initiatives. However, the stock’s premium valuation (trailing P/E near 145) and recent moves by investors such as Cathie Wood trimming holdings have tempered near-term sentiment, while institutional buying provides support. Key swing factors for weekly resolution include broader tech sector flows, any fresh contract announcements, and macroeconomic signals ahead of the next earnings cycle.
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



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