Invesco QQQ Trust (QQQ), mirroring the Nasdaq-100's tech-heavy composition, trades near all-time highs around $665 as of April 30, 2026, following a post-FOMC relief rally after the Federal Reserve held the fed funds rate steady at its April 28-29 meeting amid sticky inflation and internal dissent. Year-to-date gains exceed 8%, propelled by robust Q1 earnings from key holdings like Nvidia and Microsoft, alongside sustained AI capital expenditures boosting revenue growth and margins. Trader sentiment reflects optimism for growth stocks in a lower-for-longer rate environment, though elevated Treasury yields near 4.5% and upcoming May nonfarm payrolls plus CPI releases—ahead of the June 16-17 FOMC—pose volatility risks to valuations.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$3,895 Vol.
↑ $650
Yes
↑ $640
Yes
↑ $630
Yes
↑ $620
Yes
↑ $610
Yes
↑ $600
Yes
↑ $590
Yes
↓ $580
Yes
↓ $570
No
↓ $560
No
↓ $550
No
↓ $540
No
↓ $530
No
↓ $520
No
$3,895 Vol.
↑ $650
Yes
↑ $640
Yes
↑ $630
Yes
↑ $620
Yes
↑ $610
Yes
↑ $600
Yes
↑ $590
Yes
↓ $580
Yes
↓ $570
No
↓ $560
No
↓ $550
No
↓ $540
No
↓ $530
No
↓ $520
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.
Market Opened: Mar 25, 2026, 12:01 AM ET
Resolution Source
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...Outcome proposed: Yes
No dispute
Final outcome: Yes
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.
Resolution Source
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...Outcome proposed: Yes
No dispute
Final outcome: Yes
Invesco QQQ Trust (QQQ), mirroring the Nasdaq-100's tech-heavy composition, trades near all-time highs around $665 as of April 30, 2026, following a post-FOMC relief rally after the Federal Reserve held the fed funds rate steady at its April 28-29 meeting amid sticky inflation and internal dissent. Year-to-date gains exceed 8%, propelled by robust Q1 earnings from key holdings like Nvidia and Microsoft, alongside sustained AI capital expenditures boosting revenue growth and margins. Trader sentiment reflects optimism for growth stocks in a lower-for-longer rate environment, though elevated Treasury yields near 4.5% and upcoming May nonfarm payrolls plus CPI releases—ahead of the June 16-17 FOMC—pose volatility risks to valuations.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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