Netflix shares currently trade near $81 following a Q1 2026 earnings beat, with revenue rising 16% year-over-year to $12.25 billion and EPS of $1.23 exceeding estimates, supported by membership growth, pricing actions, and ad-tier expansion. Guidance for Q2 revenue of $12.5 billion fell slightly short of consensus, contributing to recent price pressure alongside Reed Hastings’s planned board departure. Analysts maintain a consensus Buy rating with average 12-month targets around $115, reflecting expectations for sustained operating margins near 32% and full-year revenue of $50.7–51.7 billion. Key near-term catalysts include the July 16 Q2 earnings release and ongoing streaming competition, while broader equity sentiment and macroeconomic data continue to influence valuation multiples.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiNFLX$81.44$81.44 -7.90%
BARU
Jul 1, 2026
↑ $120
<1%
↑ $115
2%
↑ $110
2%
↑ $105
3%
↑ $100
5%
↑ $95
7%
↑ $90
15%
↓ $80
78%
↓ $75
25%
↓ $70
6%
↓ $65
3%
↓ $60
3%
↓ $55
3%
NFLX$81.44$81.44 -7.90%
$8,713 Vol.
↑ $120
$825 Vol.
<1%
↑ $115
$0 Vol.
2%
↑ $110
$0 Vol.
2%
↑ $105
$0 Vol.
3%
↑ $100
$829 Vol.
5%
↑ $95
$489 Vol.
7%
↑ $90
$818 Vol.
15%
↓ $80
$3,084 Vol.
78%
↓ $75
$1,480 Vol.
25%
↓ $70
$130 Vol.
6%
↓ $65
$943 Vol.
3%
↓ $60
$0 Vol.
3%
↓ $55
$50 Vol.
3%
This market will resolve to "Yes" if, at any point during June 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 June 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 currently trade near $81 following a Q1 2026 earnings beat, with revenue rising 16% year-over-year to $12.25 billion and EPS of $1.23 exceeding estimates, supported by membership growth, pricing actions, and ad-tier expansion. Guidance for Q2 revenue of $12.5 billion fell slightly short of consensus, contributing to recent price pressure alongside Reed Hastings’s planned board departure. Analysts maintain a consensus Buy rating with average 12-month targets around $115, reflecting expectations for sustained operating margins near 32% and full-year revenue of $50.7–51.7 billion. Key near-term catalysts include the July 16 Q2 earnings release and ongoing streaming competition, while broader equity sentiment and macroeconomic data continue to influence valuation multiples.
This market will resolve to "Yes" if, at any point during June 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.
Pasar Dibuka: May 25, 2026, 12:01 AM ET
Volume
$8,713Tanggal Berakhir
Jul 1, 2026Pasar Dibuka
May 25, 2026, 12:01 AM ETSumber Resolusi
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...This market will resolve to "Yes" if, at any point during June 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 June 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 currently trade near $81 following a Q1 2026 earnings beat, with revenue rising 16% year-over-year to $12.25 billion and EPS of $1.23 exceeding estimates, supported by membership growth, pricing actions, and ad-tier expansion. Guidance for Q2 revenue of $12.5 billion fell slightly short of consensus, contributing to recent price pressure alongside Reed Hastings’s planned board departure. Analysts maintain a consensus Buy rating with average 12-month targets around $115, reflecting expectations for sustained operating margins near 32% and full-year revenue of $50.7–51.7 billion. Key near-term catalysts include the July 16 Q2 earnings release and ongoing streaming competition, while broader equity sentiment and macroeconomic data continue to influence valuation multiples.
This market will resolve to "Yes" if, at any point during June 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.
Volume
$8,713Tanggal Berakhir
Jul 1, 2026Pasar Dibuka
May 25, 2026, 12:01 AM ETSumber Resolusi
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...Netflix shares currently trade near $81 following a Q1 2026 earnings beat, with revenue rising 16% year-over-year to $12.25 billion and EPS of $1.23 exceeding estimates, supported by membership growth, pricing actions, and ad-tier expansion. Guidance for Q2 revenue of $12.5 billion fell slightly short of consensus, contributing to recent price pressure alongside Reed Hastings’s planned board departure. Analysts maintain a consensus Buy rating with average 12-month targets around $115, reflecting expectations for sustained operating margins near 32% and full-year revenue of $50.7–51.7 billion. Key near-term catalysts include the July 16 Q2 earnings release and ongoing streaming competition, while broader equity sentiment and macroeconomic data continue to influence valuation multiples.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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