The Nasdaq 100, tracked by the Invesco QQQ Trust ETF at approximately $585 as of April 2 close, posted a modest 0.11% gain amid a shortened trading week capped by Good Friday's market closure on April 3. Trader sentiment reflects resilience from today's stronger-than-expected March nonfarm payrolls addition of 178,000 jobs—well above forecasts—coupled with unemployment dipping to 4.3%, reinforcing the Federal Reserve's decision to hold the federal funds rate steady at 3.50%-3.75% following its March meeting projecting just one 2026 cut. Heightened focus now shifts to key inflation releases: Personal Consumption Expenditures (PCE) data on April 9 and March Consumer Price Index (CPI) on April 10, which could sway rate expectations and tech-heavy valuations amid elevated Treasury yields. Q1 earnings from mega-cap constituents like Nvidia and Microsoft loom later in the month as pivotal catalysts.
Resumen experimental generado por IA con datos de Polymarket · ActualizadoNUEVO
10 abr 2026
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This market will resolve to "Yes" if, at any point during the week of April 6 2026, any 1-minute candle for Nasdaq 100 (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 Nasdaq 100 (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 April 6 2026, any 1-minute candle for Nasdaq 100 (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 Nasdaq 100 (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.The Nasdaq 100, tracked by the Invesco QQQ Trust ETF at approximately $585 as of April 2 close, posted a modest 0.11% gain amid a shortened trading week capped by Good Friday's market closure on April 3. Trader sentiment reflects resilience from today's stronger-than-expected March nonfarm payrolls addition of 178,000 jobs—well above forecasts—coupled with unemployment dipping to 4.3%, reinforcing the Federal Reserve's decision to hold the federal funds rate steady at 3.50%-3.75% following its March meeting projecting just one 2026 cut. Heightened focus now shifts to key inflation releases: Personal Consumption Expenditures (PCE) data on April 9 and March Consumer Price Index (CPI) on April 10, which could sway rate expectations and tech-heavy valuations amid elevated Treasury yields. Q1 earnings from mega-cap constituents like Nvidia and Microsoft loom later in the month as pivotal catalysts.
This market will resolve to "Yes" if, at any point during the week of April 6 2026, any 1-minute candle for Nasdaq 100 (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 Nasdaq 100 (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 Nasdaq 100 (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: Apr 3, 2026, 6:01 PM ET
Volumen
$0Fecha de finalización
10 abr 2026Mercado abierto
Apr 3, 2026, 6:01 PM ETFuente de resolución
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...This market will resolve to "Yes" if, at any point during the week of April 6 2026, any 1-minute candle for Nasdaq 100 (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 Nasdaq 100 (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 April 6 2026, any 1-minute candle for Nasdaq 100 (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 Nasdaq 100 (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.The Nasdaq 100, tracked by the Invesco QQQ Trust ETF at approximately $585 as of April 2 close, posted a modest 0.11% gain amid a shortened trading week capped by Good Friday's market closure on April 3. Trader sentiment reflects resilience from today's stronger-than-expected March nonfarm payrolls addition of 178,000 jobs—well above forecasts—coupled with unemployment dipping to 4.3%, reinforcing the Federal Reserve's decision to hold the federal funds rate steady at 3.50%-3.75% following its March meeting projecting just one 2026 cut. Heightened focus now shifts to key inflation releases: Personal Consumption Expenditures (PCE) data on April 9 and March Consumer Price Index (CPI) on April 10, which could sway rate expectations and tech-heavy valuations amid elevated Treasury yields. Q1 earnings from mega-cap constituents like Nvidia and Microsoft loom later in the month as pivotal catalysts.
This market will resolve to "Yes" if, at any point during the week of April 6 2026, any 1-minute candle for Nasdaq 100 (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 Nasdaq 100 (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 Nasdaq 100 (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
10 abr 2026Mercado abierto
Apr 3, 2026, 6:01 PM ETFuente de resolución
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...The Nasdaq 100, tracked by the Invesco QQQ Trust ETF at approximately $585 as of April 2 close, posted a modest 0.11% gain amid a shortened trading week capped by Good Friday's market closure on April 3. Trader sentiment reflects resilience from today's stronger-than-expected March nonfarm payrolls addition of 178,000 jobs—well above forecasts—coupled with unemployment dipping to 4.3%, reinforcing the Federal Reserve's decision to hold the federal funds rate steady at 3.50%-3.75% following its March meeting projecting just one 2026 cut. Heightened focus now shifts to key inflation releases: Personal Consumption Expenditures (PCE) data on April 9 and March Consumer Price Index (CPI) on April 10, which could sway rate expectations and tech-heavy valuations amid elevated Treasury yields. Q1 earnings from mega-cap constituents like Nvidia and Microsoft loom later in the month as pivotal catalysts.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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