Palantir (PLTR) closed at $170.30 on September 8 after a volatile session, down roughly 9% from its late-August peak near $188 amid profit-taking following the post-earnings rally. The stock’s trajectory into month-end will hinge primarily on sustained momentum in U.S. commercial AI adoption, where Q2 revenue surged 149% year-over-year to $764 million and total contract value hit a record $2.13 billion. Management’s August 3 guidance raise—to $8.15–8.158 billion full-year revenue (82% growth)—and strong net dollar retention of 157% continue to underpin trader optimism, though the shares trade at elevated multiples near 108x trailing earnings with limited near-term catalysts before Q3 results. Analyst consensus targets cluster around $192, reflecting expectations for continued outperformance versus broader software peers.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato$174
40%
$176
35%
$178
25%
$180
34%
$182
29%
$184
25%
$186
23%
$188
25%
$190
19%
$192
16%
$194
17%
$196
14%
$198
12%
$30 Vol.
$174
40%
$176
35%
$178
25%
$180
34%
$182
29%
$184
25%
$186
23%
$188
25%
$190
19%
$192
16%
$194
17%
$196
14%
$198
12%
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 Palantir Technologies Inc. (PLTR) 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 Palantir Technologies Inc. (PLTR) available at https://pythdata.app/explore/Equity.US.PLTR%2FUSD.
Mercato aperto: Aug 28, 2026, 6:00 PM ET
Fonte di risoluzione
https://pythdata.app/explore/Equity.US.PLTR%2FUSDRisolutore
0x65070BE91...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 Palantir Technologies Inc. (PLTR) 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 Palantir Technologies Inc. (PLTR) available at https://pythdata.app/explore/Equity.US.PLTR%2FUSD.
Fonte di risoluzione
https://pythdata.app/explore/Equity.US.PLTR%2FUSDRisolutore
0x65070BE91...Palantir (PLTR) closed at $170.30 on September 8 after a volatile session, down roughly 9% from its late-August peak near $188 amid profit-taking following the post-earnings rally. The stock’s trajectory into month-end will hinge primarily on sustained momentum in U.S. commercial AI adoption, where Q2 revenue surged 149% year-over-year to $764 million and total contract value hit a record $2.13 billion. Management’s August 3 guidance raise—to $8.15–8.158 billion full-year revenue (82% growth)—and strong net dollar retention of 157% continue to underpin trader optimism, though the shares trade at elevated multiples near 108x trailing earnings with limited near-term catalysts before Q3 results. Analyst consensus targets cluster around $192, reflecting expectations for continued outperformance versus broader software peers.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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