Invesco QQQ Trust (QQQ), tracking the Nasdaq-100's tech-heavy benchmark, surged to a 52-week high of $637.83 on April 15, 2026, closing around $634 amid reports of a U.S.-Iran ceasefire boosting risk appetite and reversing a 7% Q1 Nasdaq Composite decline. Year-to-date returns stand at 2.45% as of April 14, supported by elevated trading volume and AI-driven semis strength, though memory chip volatility persists. March 2026 CPI jumped to 3.3% year-over-year, signaling persistent inflation pressures and tempering Fed funds rate cut expectations ahead of the April 28-29 FOMC meeting. Traders eye this week's Netflix and Taiwan Semiconductor earnings for clues on AI demand and sector momentum through month-end.
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↑ $650
91%
↑ $640
48%
↓ $570
99%
↓ $560
99%
↓ $550
99%
↓ $540
1%
↓ $530
51%
↓ $520
49%
$1,289 Vol.
↑ $650
91%
↑ $640
48%
↓ $570
99%
↓ $560
99%
↓ $550
99%
↓ $540
1%
↓ $530
51%
↓ $520
49%
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Invesco QQQ Trust (QQQ) "High" prices available at https://pythdata.app/explore/Equity.US.QQQ%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.QQQ%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Mercato aperto: Mar 25, 2026, 12:01 AM ET
Fonte di risoluzione
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Invesco QQQ Trust (QQQ) "High" prices available at https://pythdata.app/explore/Equity.US.QQQ%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.QQQ%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Fonte di risoluzione
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...Invesco QQQ Trust (QQQ), tracking the Nasdaq-100's tech-heavy benchmark, surged to a 52-week high of $637.83 on April 15, 2026, closing around $634 amid reports of a U.S.-Iran ceasefire boosting risk appetite and reversing a 7% Q1 Nasdaq Composite decline. Year-to-date returns stand at 2.45% as of April 14, supported by elevated trading volume and AI-driven semis strength, though memory chip volatility persists. March 2026 CPI jumped to 3.3% year-over-year, signaling persistent inflation pressures and tempering Fed funds rate cut expectations ahead of the April 28-29 FOMC meeting. Traders eye this week's Netflix and Taiwan Semiconductor earnings for clues on AI demand and sector momentum through month-end.
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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