Netflix shares closed July 31 at approximately $71.71 after falling more than 7% following Q2 2026 results that showed revenue of $12.56 billion (up 13% year-over-year but slightly below consensus) and EPS of $0.80 (a modest beat). Guidance for full-year 2026 revenue was narrowed to roughly $51–51.4 billion amid slower content amortization growth expected in the second half and reduced engagement metric updates. The stock trades well below its recent highs and 12-month analyst price targets averaging around $96–103, reflecting concerns over decelerating organic growth despite ad-tier momentum and membership expansion. With Q3 results not due until October, August trading will likely hinge on broader tech-sector sentiment, any incremental subscriber or ad-revenue disclosures, and macroeconomic factors influencing risk appetite.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयाNFLX$71.70$71.70 +1.63%
नया
1 सित, 2026
↑ $105
1%
↑ $100
1%
↑ $95
2%
↑ $90
3%
↑ $85
8%
↑ $80
22%
↑ $75
65%
↓ $70
76%
↓ $65
24%
↓ $60
5%
↓ $55
2%
↓ $50
1%
↓ $45
1%
↓ $40
1%
NFLX$71.70$71.70 +1.63%
$785 वॉल्यूम
↑ $105
$6 वॉल्यूम
1%
↑ $100
$5 वॉल्यूम
1%
↑ $95
$0 वॉल्यूम
2%
↑ $90
$0 वॉल्यूम
3%
↑ $85
$0 वॉल्यूम
8%
↑ $80
$680 वॉल्यूम
22%
↑ $75
$0 वॉल्यूम
65%
↓ $70
$0 वॉल्यूम
76%
↓ $65
$0 वॉल्यूम
24%
↓ $60
$79 वॉल्यूम
5%
↓ $55
$5 वॉल्यूम
2%
↓ $50
$5 वॉल्यूम
1%
↓ $45
$0 वॉल्यूम
1%
↓ $40
$5 वॉल्यूम
1%
This market will resolve to "Yes" if, at any point during August 2026, any 1-minute candle for Netflix, Inc. (NFLX) 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 Netflix, Inc. (NFLX) "High" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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 August 2026, any 1-minute candle for Netflix, Inc. (NFLX) 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 Netflix, Inc. (NFLX) "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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.Netflix shares closed July 31 at approximately $71.71 after falling more than 7% following Q2 2026 results that showed revenue of $12.56 billion (up 13% year-over-year but slightly below consensus) and EPS of $0.80 (a modest beat). Guidance for full-year 2026 revenue was narrowed to roughly $51–51.4 billion amid slower content amortization growth expected in the second half and reduced engagement metric updates. The stock trades well below its recent highs and 12-month analyst price targets averaging around $96–103, reflecting concerns over decelerating organic growth despite ad-tier momentum and membership expansion. With Q3 results not due until October, August trading will likely hinge on broader tech-sector sentiment, any incremental subscriber or ad-revenue disclosures, and macroeconomic factors influencing risk appetite.
This market will resolve to "Yes" if, at any point during August 2026, any 1-minute candle for Netflix, Inc. (NFLX) 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 Netflix, Inc. (NFLX) "High" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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 Netflix, Inc. (NFLX) "High" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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.
बाज़ार खुला: Jul 25, 2026, 12:00 AM ET
वॉल्यूम
$785समाप्ति तिथि
1 सित, 2026बाज़ार खुला
Jul 25, 2026, 12:00 AM ETResolver
0x65070BE91...This market will resolve to "Yes" if, at any point during August 2026, any 1-minute candle for Netflix, Inc. (NFLX) 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 Netflix, Inc. (NFLX) "High" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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 August 2026, any 1-minute candle for Netflix, Inc. (NFLX) 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 Netflix, Inc. (NFLX) "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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.Netflix shares closed July 31 at approximately $71.71 after falling more than 7% following Q2 2026 results that showed revenue of $12.56 billion (up 13% year-over-year but slightly below consensus) and EPS of $0.80 (a modest beat). Guidance for full-year 2026 revenue was narrowed to roughly $51–51.4 billion amid slower content amortization growth expected in the second half and reduced engagement metric updates. The stock trades well below its recent highs and 12-month analyst price targets averaging around $96–103, reflecting concerns over decelerating organic growth despite ad-tier momentum and membership expansion. With Q3 results not due until October, August trading will likely hinge on broader tech-sector sentiment, any incremental subscriber or ad-revenue disclosures, and macroeconomic factors influencing risk appetite.
This market will resolve to "Yes" if, at any point during August 2026, any 1-minute candle for Netflix, Inc. (NFLX) 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 Netflix, Inc. (NFLX) "High" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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 Netflix, Inc. (NFLX) "High" prices available at https://pythdata.app/explore/Equity.US.NFLX%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.NFLX%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
$785समाप्ति तिथि
1 सित, 2026बाज़ार खुला
Jul 25, 2026, 12:00 AM ETResolver
0x65070BE91...Netflix shares closed July 31 at approximately $71.71 after falling more than 7% following Q2 2026 results that showed revenue of $12.56 billion (up 13% year-over-year but slightly below consensus) and EPS of $0.80 (a modest beat). Guidance for full-year 2026 revenue was narrowed to roughly $51–51.4 billion amid slower content amortization growth expected in the second half and reduced engagement metric updates. The stock trades well below its recent highs and 12-month analyst price targets averaging around $96–103, reflecting concerns over decelerating organic growth despite ad-tier momentum and membership expansion. With Q3 results not due until October, August trading will likely hinge on broader tech-sector sentiment, any incremental subscriber or ad-revenue disclosures, and macroeconomic factors influencing risk appetite.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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