The Nasdaq 100, via QQQ trading around $612 after opening at $611.84, has surged 4.7% last week—its best performance since November—driven by Middle East ceasefire progress easing oil shock fears that erased 14% from February highs. This risk-on shift propelled tech leaders like Amazon and Meta higher, with QQQ reclaiming 50- and 200-day moving averages while testing the 100-day SMA equivalent to NDX ~25,353, amid elevated positioning rather than fresh fundamentals. Q1 bank earnings kick off this week with JPMorgan and Goldman Sachs, providing critical reads on credit conditions and consumer resilience, alongside key economic data releases that could push intraday highs toward $618-619 or trigger pullbacks to volume supports near $588.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated↑ $645
4%
↑ $640
50%
↑ $635
50%
↑ $630
50%
↑ $625
50%
↑ $620
16%
↑ $615
45%
↓ $610
77%
↓ $605
55%
↓ $600
50%
↓ $595
50%
↓ $590
50%
↓ $585
50%
↓ $580
50%
$3,057 Vol.
↑ $645
4%
↑ $640
50%
↑ $635
50%
↑ $630
50%
↑ $625
50%
↑ $620
16%
↑ $615
45%
↓ $610
77%
↓ $605
55%
↓ $600
50%
↓ $595
50%
↓ $590
50%
↓ $585
50%
↓ $580
50%
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.
Market Opened: Apr 10, 2026, 6:01 PM ET
Resolution Source
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...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.
Resolution Source
https://pythdata.app/explore/Equity.US.QQQ%2FUSDResolver
0x65070BE91...The Nasdaq 100, via QQQ trading around $612 after opening at $611.84, has surged 4.7% last week—its best performance since November—driven by Middle East ceasefire progress easing oil shock fears that erased 14% from February highs. This risk-on shift propelled tech leaders like Amazon and Meta higher, with QQQ reclaiming 50- and 200-day moving averages while testing the 100-day SMA equivalent to NDX ~25,353, amid elevated positioning rather than fresh fundamentals. Q1 bank earnings kick off this week with JPMorgan and Goldman Sachs, providing critical reads on credit conditions and consumer resilience, alongside key economic data releases that could push intraday highs toward $618-619 or trigger pullbacks to volume supports near $588.
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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