Palantir shares have traded in a volatile range near $123 amid pre-earnings positioning ahead of the August 3 Q2 report, with the market-implied distribution reflecting balanced probabilities across $2 price bins from below $114 to above $132. Strong Q1 results, 85% year-over-year revenue growth, and raised full-year guidance have supported the valuation, yet recent analyst actions including Citi’s reduction of its price target to $200 and mixed options sentiment highlight caution. Broader AI sector momentum, defense contract wins, and commercial AIP adoption remain key upside drivers, while short-term swings tied to macro risk appetite and open-source AI commentary introduce downside risk. The flat probability curve underscores elevated uncertainty for the July 31 close before the earnings catalyst resolves direction.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$116-$118 50%
$118-$120 50%
$120-$122 50%
$130-$132 50%
<$114
50%
$114-$116
50%
$116-$118
50%
$118-$120
50%
$120-$122
50%
$122-$124
50%
$124-$126
50%
$126-$128
48%
$128-$130
50%
$130-$132
50%
>$132
50%
$116-$118 50%
$118-$120 50%
$120-$122 50%
$130-$132 50%
<$114
50%
$114-$116
50%
$116-$118
50%
$118-$120
50%
$120-$122
50%
$122-$124
50%
$124-$126
50%
$126-$128
48%
$128-$130
50%
$130-$132
50%
>$132
50%
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.
Pasar Dibuka: Jul 24, 2026, 6:00 PM ET
Sumber Resolusi
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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.PLTR%2FUSDResolver
0x69c47De9D...Palantir shares have traded in a volatile range near $123 amid pre-earnings positioning ahead of the August 3 Q2 report, with the market-implied distribution reflecting balanced probabilities across $2 price bins from below $114 to above $132. Strong Q1 results, 85% year-over-year revenue growth, and raised full-year guidance have supported the valuation, yet recent analyst actions including Citi’s reduction of its price target to $200 and mixed options sentiment highlight caution. Broader AI sector momentum, defense contract wins, and commercial AIP adoption remain key upside drivers, while short-term swings tied to macro risk appetite and open-source AI commentary introduce downside risk. The flat probability curve underscores elevated uncertainty for the July 31 close before the earnings catalyst resolves direction.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


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