Netflix shares hovered around $93 as of March 27 close, up over 1% following the March 26 announcement of $1-$2 monthly price hikes across subscription tiers and elevated add-on fees, underscoring robust pricing power relative to rivals like Disney+ and Amazon Prime amid persistent inflation. This catalyst, coupled with surging advertising revenues, drove outperformance versus the broader market, reinforced by Oppenheimer's March 27 price target increase to $135 (Outperform rating) and an average analyst consensus of $113. At a $391 billion market cap and 36x trailing P/E, trader sentiment reflects optimism on subscriber retention and content investments, with Q1 2026 earnings on April 16 as the key post-resolution event; short-term dynamics hinge on volume trends and any buyback signals during the week of March 30.
Resumen experimental generado por IA con datos de Polymarket · ActualizadoNEW
Apr 3, 2026
↑ $110
51%
↑ $107.50
50%
↑ $105
50%
↑ $102.50
50%
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↓ $87.50
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↓ $85
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↓ $80
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↓ $77.50
50%
$0.00 Vol.
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$0 Vol.
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$0 Vol.
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↑ $105
$0 Vol.
50%
↑ $102.50
$0 Vol.
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↑ $100
$0 Vol.
50%
↑ $97.50
$0 Vol.
50%
↑ $95
$0 Vol.
50%
↓ $92.50
$0 Vol.
50%
↓ $90
$0 Vol.
50%
↓ $87.50
$0 Vol.
50%
↓ $85
$0 Vol.
50%
↓ $82.50
$0 Vol.
50%
↓ $80
$0 Vol.
50%
↓ $77.50
$0 Vol.
50%
This market will resolve to "Yes" if, at any point during the week of March 30 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 the week of March 30 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 hovered around $93 as of March 27 close, up over 1% following the March 26 announcement of $1-$2 monthly price hikes across subscription tiers and elevated add-on fees, underscoring robust pricing power relative to rivals like Disney+ and Amazon Prime amid persistent inflation. This catalyst, coupled with surging advertising revenues, drove outperformance versus the broader market, reinforced by Oppenheimer's March 27 price target increase to $135 (Outperform rating) and an average analyst consensus of $113. At a $391 billion market cap and 36x trailing P/E, trader sentiment reflects optimism on subscriber retention and content investments, with Q1 2026 earnings on April 16 as the key post-resolution event; short-term dynamics hinge on volume trends and any buyback signals during the week of March 30.
This market will resolve to "Yes" if, at any point during the week of March 30 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.
Mercado abierto: Mar 27, 2026, 6:00 PM ET
Volumen
$0Fecha de finalización
Apr 3, 2026Mercado abierto
Mar 27, 2026, 6:00 PM ETResolution Source
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...This market will resolve to "Yes" if, at any point during the week of March 30 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 the week of March 30 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 hovered around $93 as of March 27 close, up over 1% following the March 26 announcement of $1-$2 monthly price hikes across subscription tiers and elevated add-on fees, underscoring robust pricing power relative to rivals like Disney+ and Amazon Prime amid persistent inflation. This catalyst, coupled with surging advertising revenues, drove outperformance versus the broader market, reinforced by Oppenheimer's March 27 price target increase to $135 (Outperform rating) and an average analyst consensus of $113. At a $391 billion market cap and 36x trailing P/E, trader sentiment reflects optimism on subscriber retention and content investments, with Q1 2026 earnings on April 16 as the key post-resolution event; short-term dynamics hinge on volume trends and any buyback signals during the week of March 30.
This market will resolve to "Yes" if, at any point during the week of March 30 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.
Volumen
$0Fecha de finalización
Apr 3, 2026Mercado abierto
Mar 27, 2026, 6:00 PM ETResolution Source
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...Netflix shares hovered around $93 as of March 27 close, up over 1% following the March 26 announcement of $1-$2 monthly price hikes across subscription tiers and elevated add-on fees, underscoring robust pricing power relative to rivals like Disney+ and Amazon Prime amid persistent inflation. This catalyst, coupled with surging advertising revenues, drove outperformance versus the broader market, reinforced by Oppenheimer's March 27 price target increase to $135 (Outperform rating) and an average analyst consensus of $113. At a $391 billion market cap and 36x trailing P/E, trader sentiment reflects optimism on subscriber retention and content investments, with Q1 2026 earnings on April 16 as the key post-resolution event; short-term dynamics hinge on volume trends and any buyback signals during the week of March 30.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
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Cuidado con los enlaces externos.
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