Invesco QQQ Trust (QQQ), tracking the Nasdaq-100, posted intraday volatility in the week of March 30, dipping to a low of 555.60 on Monday before rebounding 3.4% to close at 577.18 on March 31 amid broader equity advances and high trading volume exceeding 93 million shares. This reflects profit-taking in AI-driven tech leaders like Nvidia, which has struggled recently, contributing to QQQ's 5.93% year-to-date decline from a 52-week high of 637.01. Trader sentiment hinges on growth stock sensitivity to rising Treasury yields and cooling sector momentum. Upcoming Q1 2026 earnings from top holdings—Microsoft, Nvidia, Broadcom—and April nonfarm payrolls data could catalyze a push toward 580-600 resistance or test 555 support before Friday's close.
基于Polymarket数据的AI实验性摘要 · 更新于最新
2026-04-03
↑ $595
50%
↑ 590美元
50%
↑ $585
49%
↑ $580
74%
↓ $555
50%
↓ $550
50%
↓ $545
50%
↓ $540
50%
↓ $535
50%
↓ $530
50%
$6,032 交易量
↑ $595
$0 交易量
50%
↑ 590美元
$0 交易量
50%
↑ $585
$0 交易量
49%
↑ $580
$0 交易量
74%
↓ $555
$0 交易量
50%
↓ $550
$0 交易量
50%
↓ $545
$0 交易量
50%
↓ $540
$0 交易量
50%
↓ $535
$0 交易量
50%
↓ $530
$0 交易量
50%
This market will resolve to "Yes" if, at any point during the week of March 30 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 the week of March 30 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, posted intraday volatility in the week of March 30, dipping to a low of 555.60 on Monday before rebounding 3.4% to close at 577.18 on March 31 amid broader equity advances and high trading volume exceeding 93 million shares. This reflects profit-taking in AI-driven tech leaders like Nvidia, which has struggled recently, contributing to QQQ's 5.93% year-to-date decline from a 52-week high of 637.01. Trader sentiment hinges on growth stock sensitivity to rising Treasury yields and cooling sector momentum. Upcoming Q1 2026 earnings from top holdings—Microsoft, Nvidia, Broadcom—and April nonfarm payrolls data could catalyze a push toward 580-600 resistance or test 555 support before Friday's close.
This market will resolve to "Yes" if, at any point during the week of March 30 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.
市场开放时间： Mar 27, 2026, 6:01 PM ET
交易量
$6,032结束日期
2026-04-03市场开放时间
Mar 27, 2026, 6:01 PM ETThis market will resolve to "Yes" if, at any point during the week of March 30 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 the week of March 30 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, posted intraday volatility in the week of March 30, dipping to a low of 555.60 on Monday before rebounding 3.4% to close at 577.18 on March 31 amid broader equity advances and high trading volume exceeding 93 million shares. This reflects profit-taking in AI-driven tech leaders like Nvidia, which has struggled recently, contributing to QQQ's 5.93% year-to-date decline from a 52-week high of 637.01. Trader sentiment hinges on growth stock sensitivity to rising Treasury yields and cooling sector momentum. Upcoming Q1 2026 earnings from top holdings—Microsoft, Nvidia, Broadcom—and April nonfarm payrolls data could catalyze a push toward 580-600 resistance or test 555 support before Friday's close.
This market will resolve to "Yes" if, at any point during the week of March 30 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.
交易量
$6,032结束日期
2026-04-03市场开放时间
Mar 27, 2026, 6:01 PM ETInvesco QQQ Trust (QQQ), tracking the Nasdaq-100, posted intraday volatility in the week of March 30, dipping to a low of 555.60 on Monday before rebounding 3.4% to close at 577.18 on March 31 amid broader equity advances and high trading volume exceeding 93 million shares. This reflects profit-taking in AI-driven tech leaders like Nvidia, which has struggled recently, contributing to QQQ's 5.93% year-to-date decline from a 52-week high of 637.01. Trader sentiment hinges on growth stock sensitivity to rising Treasury yields and cooling sector momentum. Upcoming Q1 2026 earnings from top holdings—Microsoft, Nvidia, Broadcom—and April nonfarm payrolls data could catalyze a push toward 580-600 resistance or test 555 support before Friday's close.
基于Polymarket数据的AI实验性摘要 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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