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What will Nasdaq 100 (QQQ) hit Week of April 13 2026?

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What will Nasdaq 100 (QQQ) hit Week of April 13 2026?

अप्रैल 17

अप्रैल 17

QQQ$637.37+4.58%
नया
17 अप्रैल, 2026
Polymarket

$8,856 वॉल्यूम

Polymarket

↑ $645

$471 वॉल्यूम

16%

↑ $640

$779 वॉल्यूम

62%

↓ $605

$163 वॉल्यूम

10%

↓ $600

$47 वॉल्यूम

4%

↓ $595

$41 वॉल्यूम

50%

↓ $590

$249 वॉल्यूम

3%

↓ $585

$1,022 वॉल्यूम

2%

↓ $580

$121 वॉल्यूम

2%

This market will resolve to "Yes" if, at any point during the week of April 13 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 13 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 index and QQQ ETF have surged to fresh record highs this week, with NDX topping 26,200 and QQQ touching 637.83 amid trader optimism over U.S.-Iran diplomatic efforts alleviating geopolitical tensions. QQQ advanced over 1.4% intraday to 637.40 on elevated volume of 47 million shares, reflecting weekly gains around 5% from mid-620 levels as software stocks join the broader tech rally. Aggregated trader sentiment prices in sustained bullish momentum, bolstered by positive ETF inflows, ahead of a light economic calendar featuring producer price index data and housing starts, plus Q1 earnings from components like ASML and PepsiCo. The FOMC's April 28-29 meeting remains a key near-term catalyst influencing rate expectations.

This market will resolve to "Yes" if, at any point during the week of April 13 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.
वॉल्यूम
$8,856
समाप्ति तिथि
17 अप्रैल, 2026
बाज़ार खुला
Apr 10, 2026, 6:01 PM ET

समाधान स्रोत

https://pythdata.app/explore/Equity.US.QQQ%2FUSD
This market will resolve to "Yes" if, at any point during the week of April 13 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 13 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 13 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 index and QQQ ETF have surged to fresh record highs this week, with NDX topping 26,200 and QQQ touching 637.83 amid trader optimism over U.S.-Iran diplomatic efforts alleviating geopolitical tensions. QQQ advanced over 1.4% intraday to 637.40 on elevated volume of 47 million shares, reflecting weekly gains around 5% from mid-620 levels as software stocks join the broader tech rally. Aggregated trader sentiment prices in sustained bullish momentum, bolstered by positive ETF inflows, ahead of a light economic calendar featuring producer price index data and housing starts, plus Q1 earnings from components like ASML and PepsiCo. The FOMC's April 28-29 meeting remains a key near-term catalyst influencing rate expectations.

This market will resolve to "Yes" if, at any point during the week of April 13 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.
वॉल्यूम
$8,856
समाप्ति तिथि
17 अप्रैल, 2026
बाज़ार खुला
Apr 10, 2026, 6:01 PM ET

समाधान स्रोत

https://pythdata.app/explore/Equity.US.QQQ%2FUSD
This market will resolve to "Yes" if, at any point during the week of April 13 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.

बाहरी लिंक से सावधान रहें।

अक्सर पूछे जाने वाले प्रश्न

"What will Nasdaq 100 (QQQ) hit Week of April 13 2026?" Polymarket पर 14 संभावित परिणामों वाला एक प्रेडिक्शन मार्केट है। वर्तमान में, ↑ $635 100% (100¢¢ प्रति शेयर) की implied probability के साथ आगे है, उसके बाद ↑ $630 100% पर है।

"What will Nasdaq 100 (QQQ) hit Week of April 13 2026?" Polymarket पर एक नवनिर्मित बाज़ार है, Apr 10, 2026 को लॉन्च किया गया। एक शुरुआती बाज़ार के रूप में, यह पहले ट्रेडरों में शामिल होने और संभावनाएँ सेट करने और बाज़ार के शुरुआती मूल्य संकेत स्थापित करने का आपका अवसर है। आप समय के साथ बाज़ार की गति बढ़ने पर वॉल्यूम और ट्रेडिंग गतिविधि को ट्रैक करने के लिए इस पेज को बुकमार्क भी कर सकते हैं।

"What will Nasdaq 100 (QQQ) hit Week of April 13 2026?" पर ट्रेड करने के लिए, इस पेज पर सूचीबद्ध 14 उपलब्ध परिणाम ब्राउज़ करें। प्रत्येक परिणाम बाज़ार की निहित संभावना को दर्शाने वाली वर्तमान कीमत प्रदर्शित करता है। पोजीशन लेने के लिए, वह परिणाम चुनें जो आपको सबसे संभावित लगता है, उसके पक्ष में ट्रेड करने के लिए "हाँ" या विरुद्ध ट्रेड करने के लिए "नहीं" चुनें, अपनी राशि दर्ज करें, और "ट्रेड" पर क्लिक करें।

"What will Nasdaq 100 (QQQ) hit Week of April 13 2026?" के लिए वर्तमान प्रबल दावेदार "↑ $635" 100% पर है। निकटतम परिणाम "↑ $630" 100% पर है। ये संभावनाएँ रियल-टाइम में अपडेट होती हैं जैसे-जैसे ट्रेडर शेयर खरीदते और बेचते हैं।

"What will Nasdaq 100 (QQQ) hit Week of April 13 2026?" के समाधान नियम ठीक-ठीक परिभाषित करते हैं कि प्रत्येक परिणाम को विजेता घोषित करने के लिए क्या होना चाहिए — जिसमें परिणाम निर्धारित करने के लिए उपयोग किए गए आधिकारिक डेटा स्रोत शामिल हैं। आप इस पेज पर टिप्पणियों के ऊपर "नियम" अनुभाग में पूर्ण समाधान मानदंड की समीक्षा कर सकते हैं।