Invesco QQQ Trust (QQQ), tracking the Nasdaq-100 Index, closed March 27 at approximately $563, reflecting a roughly 8% decline over the past 30 days from mid-March peaks near $610 amid escalating geopolitical tensions, surging oil prices, and fears of economic slowdown eroding sentiment toward high-valuation growth stocks. Trader consensus on Polymarket prices in this near-term uncertainty, with recent daily drops averaging 2% driven by risk-off flows into Treasuries and elevated 10-year yields pressuring tech multiples. Pivotal catalyst: March nonfarm payrolls on April 4, forecasted at 45,000 jobs added and 4.5% unemployment rate—disappointing data risks further downside, while upside surprises could trigger rebound toward $580 resistance. Volatility remains elevated ahead of resolution.
Resumen experimental generado por IA con datos de Polymarket · ActualizadoNEW
Apr 3, 2026
↑ $595
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↑ $590
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↑ $585
100%
↑ $580
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↑ $575
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↑ $570
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↑ $565
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↓ $560
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↓ $555
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↓ $545
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↓ $535
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↓ $530
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$0.00 Vol.
↑ $595
$0 Vol.
100%
↑ $590
$0 Vol.
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↑ $585
$0 Vol.
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↑ $580
$0 Vol.
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↑ $575
$0 Vol.
100%
↑ $570
$0 Vol.
100%
↑ $565
$0 Vol.
100%
↓ $560
$0 Vol.
100%
↓ $555
$0 Vol.
100%
↓ $550
$0 Vol.
100%
↓ $545
$0 Vol.
100%
↓ $540
$0 Vol.
100%
↓ $535
$0 Vol.
100%
↓ $530
$0 Vol.
100%
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 Index, closed March 27 at approximately $563, reflecting a roughly 8% decline over the past 30 days from mid-March peaks near $610 amid escalating geopolitical tensions, surging oil prices, and fears of economic slowdown eroding sentiment toward high-valuation growth stocks. Trader consensus on Polymarket prices in this near-term uncertainty, with recent daily drops averaging 2% driven by risk-off flows into Treasuries and elevated 10-year yields pressuring tech multiples. Pivotal catalyst: March nonfarm payrolls on April 4, forecasted at 45,000 jobs added and 4.5% unemployment rate—disappointing data risks further downside, while upside surprises could trigger rebound toward $580 resistance. Volatility remains elevated ahead of resolution.
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.
Mercado abierto: Mar 27, 2026, 6:01 PM ET
Volumen
$0Fecha de finalización
Apr 3, 2026Mercado abierto
Mar 27, 2026, 6:01 PM ETResolution Source
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...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 Index, closed March 27 at approximately $563, reflecting a roughly 8% decline over the past 30 days from mid-March peaks near $610 amid escalating geopolitical tensions, surging oil prices, and fears of economic slowdown eroding sentiment toward high-valuation growth stocks. Trader consensus on Polymarket prices in this near-term uncertainty, with recent daily drops averaging 2% driven by risk-off flows into Treasuries and elevated 10-year yields pressuring tech multiples. Pivotal catalyst: March nonfarm payrolls on April 4, forecasted at 45,000 jobs added and 4.5% unemployment rate—disappointing data risks further downside, while upside surprises could trigger rebound toward $580 resistance. Volatility remains elevated ahead of resolution.
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.
Volumen
$0Fecha de finalización
Apr 3, 2026Mercado abierto
Mar 27, 2026, 6:01 PM ETResolution Source
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...Invesco QQQ Trust (QQQ), tracking the Nasdaq-100 Index, closed March 27 at approximately $563, reflecting a roughly 8% decline over the past 30 days from mid-March peaks near $610 amid escalating geopolitical tensions, surging oil prices, and fears of economic slowdown eroding sentiment toward high-valuation growth stocks. Trader consensus on Polymarket prices in this near-term uncertainty, with recent daily drops averaging 2% driven by risk-off flows into Treasuries and elevated 10-year yields pressuring tech multiples. Pivotal catalyst: March nonfarm payrolls on April 4, forecasted at 45,000 jobs added and 4.5% unemployment rate—disappointing data risks further downside, while upside surprises could trigger rebound toward $580 resistance. Volatility remains elevated ahead of resolution.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
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