Invesco QQQ Trust (QQQ), tracking the Nasdaq-100 Index dominated by mega-cap tech, surged to a record high of $650 on April 17, 2026, reflecting trader consensus on sustained earnings growth and AI-driven momentum amid compressing valuations in 2026. The ETF's price closed at $648.85, up over 4% from early April lows around $620, fueled by resilient semiconductor and digital ad revenues outpacing estimates. Key supports at $640 align with the 50-day moving average, while positive gamma positioning caps near-term volatility. Upcoming catalysts include the FOMC meeting on April 28-29, with markets pricing steady Fed funds rates amid sticky inflation, and Q1 earnings from Alphabet and Meta on April 29, alongside Microsoft on April 30, which could propel new highs or trigger pullbacks if guidance disappoints.
Polymarket verilerine atıfta bulunan deneysel AI tarafından oluşturulmuş özet. Bu bir işlem tavsiyesi değildir ve bu piyasanın nasıl çözümlendiğinde hiçbir rolü yoktur. · GüncellendiQQQ$648.77+10.11%
YENİ
1 May 2026
↑ $650
95%
↓ $570
46%
↓ $560
49%
↓ $550
48%
↓ $540
1%
↓ $530
51%
↓ $520
49%
$2,260 Hac.
↑ $650
$345 Hac.
95%
↓ $570
$153 Hac.
46%
↓ $560
$148 Hac.
49%
↓ $550
$0 Hac.
48%
↓ $540
$15 Hac.
1%
↓ $530
$5 Hac.
51%
↓ $520
$11 Hac.
49%
This market will resolve to "Yes" if, at any point during April 2026, any 1-minute candle for Invesco QQQ Trust (QQQ) has a final "High" price equal to or above the listed price. Otherwise, this market will resolve to "No".
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.This market will resolve to "Yes" if, at any point during April 2026, any 1-minute candle for Invesco QQQ Trust (QQQ) has a final "Low" price equal to or below the listed price. Otherwise, this market will resolve to "No".
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) "Low" 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 low 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.Invesco QQQ Trust (QQQ), tracking the Nasdaq-100 Index dominated by mega-cap tech, surged to a record high of $650 on April 17, 2026, reflecting trader consensus on sustained earnings growth and AI-driven momentum amid compressing valuations in 2026. The ETF's price closed at $648.85, up over 4% from early April lows around $620, fueled by resilient semiconductor and digital ad revenues outpacing estimates. Key supports at $640 align with the 50-day moving average, while positive gamma positioning caps near-term volatility. Upcoming catalysts include the FOMC meeting on April 28-29, with markets pricing steady Fed funds rates amid sticky inflation, and Q1 earnings from Alphabet and Meta on April 29, alongside Microsoft on April 30, which could propel new highs or trigger pullbacks if guidance disappoints.
This market will resolve to "Yes" if, at any point during April 2026, any 1-minute candle for Invesco QQQ Trust (QQQ) has a final "High" price equal to or above the listed price. Otherwise, this market will resolve to "No".
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.
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.
Piyasa Açıldı: Mar 25, 2026, 12:01 AM ET
Hacim
$2,260Bitiş Tarihi
1 May 2026Piyasa Açıldı
Mar 25, 2026, 12:01 AM ETÇözümleme Kaynağı
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...This market will resolve to "Yes" if, at any point during April 2026, any 1-minute candle for Invesco QQQ Trust (QQQ) has a final "High" price equal to or above the listed price. Otherwise, this market will resolve to "No".
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.This market will resolve to "Yes" if, at any point during April 2026, any 1-minute candle for Invesco QQQ Trust (QQQ) has a final "Low" price equal to or below the listed price. Otherwise, this market will resolve to "No".
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) "Low" 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 low 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.Invesco QQQ Trust (QQQ), tracking the Nasdaq-100 Index dominated by mega-cap tech, surged to a record high of $650 on April 17, 2026, reflecting trader consensus on sustained earnings growth and AI-driven momentum amid compressing valuations in 2026. The ETF's price closed at $648.85, up over 4% from early April lows around $620, fueled by resilient semiconductor and digital ad revenues outpacing estimates. Key supports at $640 align with the 50-day moving average, while positive gamma positioning caps near-term volatility. Upcoming catalysts include the FOMC meeting on April 28-29, with markets pricing steady Fed funds rates amid sticky inflation, and Q1 earnings from Alphabet and Meta on April 29, alongside Microsoft on April 30, which could propel new highs or trigger pullbacks if guidance disappoints.
This market will resolve to "Yes" if, at any point during April 2026, any 1-minute candle for Invesco QQQ Trust (QQQ) has a final "High" price equal to or above the listed price. Otherwise, this market will resolve to "No".
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.
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.
Hacim
$2,260Bitiş Tarihi
1 May 2026Piyasa Açıldı
Mar 25, 2026, 12:01 AM ETÇözümleme Kaynağı
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...Invesco QQQ Trust (QQQ), tracking the Nasdaq-100 Index dominated by mega-cap tech, surged to a record high of $650 on April 17, 2026, reflecting trader consensus on sustained earnings growth and AI-driven momentum amid compressing valuations in 2026. The ETF's price closed at $648.85, up over 4% from early April lows around $620, fueled by resilient semiconductor and digital ad revenues outpacing estimates. Key supports at $640 align with the 50-day moving average, while positive gamma positioning caps near-term volatility. Upcoming catalysts include the FOMC meeting on April 28-29, with markets pricing steady Fed funds rates amid sticky inflation, and Q1 earnings from Alphabet and Meta on April 29, alongside Microsoft on April 30, which could propel new highs or trigger pullbacks if guidance disappoints.
Polymarket verilerine atıfta bulunan deneysel AI tarafından oluşturulmuş özet. Bu bir işlem tavsiyesi değildir ve bu piyasanın nasıl çözümlendiğinde hiçbir rolü yoktur. · Güncellendi
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