**Netflix shares closed at $71.79 on September 18 after a 4.67% drop triggered by Wells Fargo’s downgrade to Underweight and a price target cut to $57, citing weaker user engagement trends and a lighter second-half content slate.** The stock has traded between roughly $70 and $72 in recent sessions amid a broader 2026 decline from the $124.86 peak, with the 52-week low at $65.08. Q2 results showed solid 13% revenue growth to $12.56 billion and margin expansion, yet forward guidance and engagement metrics have weighed on sentiment. With no major catalysts before the October 20 earnings release, market-implied odds place the highest probability on the $70–$80 closing bucket for the week of September 21, reflecting current levels and limited near-term volatility. Trader positioning in other ranges remains more dispersed, underscoring uncertainty around any potential rebound or further pressure from margin concerns and competitive dynamics.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডNetflix (NFLX) closes week of Sep 21 at ___?
Netflix (NFLX) closes week of Sep 21 at ___?
$70-$80 77%
<$30 44%
$30-$40 44%
$50-$60 44%
নতুন
নতুন
Sep 25, 2026
<$30
44%
$30-$40
44%
$40-$50
44%
$50-$60
44%
$60-$70
21%
$70-$80
77%
$80-$90
44%
$90-$100
44%
$100-$110
44%
$110-$120
44%
>$120
44%
$70-$80 77%
<$30 44%
$30-$40 44%
$50-$60 44%
নতুন
নতুন
Sep 25, 2026
<$30
$0 Vol.
44%
$30-$40
$0 Vol.
44%
$40-$50
$0 Vol.
44%
$50-$60
$0 Vol.
44%
$60-$70
$0 Vol.
21%
$70-$80
$0 Vol.
77%
$80-$90
$0 Vol.
44%
$90-$100
$0 Vol.
44%
$100-$110
$0 Vol.
44%
$110-$120
$0 Vol.
44%
>$120
$0 Vol.
44%
This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday).
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Netflix, Inc. (NFLX) available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD.**Netflix shares closed at $71.79 on September 18 after a 4.67% drop triggered by Wells Fargo’s downgrade to Underweight and a price target cut to $57, citing weaker user engagement trends and a lighter second-half content slate.** The stock has traded between roughly $70 and $72 in recent sessions amid a broader 2026 decline from the $124.86 peak, with the 52-week low at $65.08. Q2 results showed solid 13% revenue growth to $12.56 billion and margin expansion, yet forward guidance and engagement metrics have weighed on sentiment. With no major catalysts before the October 20 earnings release, market-implied odds place the highest probability on the $70–$80 closing bucket for the week of September 21, reflecting current levels and limited near-term volatility. Trader positioning in other ranges remains more dispersed, underscoring uncertainty around any potential rebound or further pressure from margin concerns and competitive dynamics.
This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday).
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Netflix, Inc. (NFLX) available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD.
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Netflix, Inc. (NFLX) available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD.
মার্কেট ওপেন হয়েছে: Sep 18, 2026, 6:00 PM ET
ভলিউম
$0শেষ তারিখ
Sep 25, 2026মার্কেট ওপেন হয়েছে
Sep 18, 2026, 6:00 PM ETরেজোলিউশন সোর্স
https://pythdata.app/explore/Equity.US.NFLX%2FUSDরেজলভার
0x69c47De9D...This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday).
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Netflix, Inc. (NFLX) available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD.**Netflix shares closed at $71.79 on September 18 after a 4.67% drop triggered by Wells Fargo’s downgrade to Underweight and a price target cut to $57, citing weaker user engagement trends and a lighter second-half content slate.** The stock has traded between roughly $70 and $72 in recent sessions amid a broader 2026 decline from the $124.86 peak, with the 52-week low at $65.08. Q2 results showed solid 13% revenue growth to $12.56 billion and margin expansion, yet forward guidance and engagement metrics have weighed on sentiment. With no major catalysts before the October 20 earnings release, market-implied odds place the highest probability on the $70–$80 closing bucket for the week of September 21, reflecting current levels and limited near-term volatility. Trader positioning in other ranges remains more dispersed, underscoring uncertainty around any potential rebound or further pressure from margin concerns and competitive dynamics.
This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday).
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Netflix, Inc. (NFLX) available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD.
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Netflix, Inc. (NFLX) available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD.
ভলিউম
$0শেষ তারিখ
Sep 25, 2026মার্কেট ওপেন হয়েছে
Sep 18, 2026, 6:00 PM ETরেজোলিউশন সোর্স
https://pythdata.app/explore/Equity.US.NFLX%2FUSDরেজলভার
0x69c47De9D...**Netflix shares closed at $71.79 on September 18 after a 4.67% drop triggered by Wells Fargo’s downgrade to Underweight and a price target cut to $57, citing weaker user engagement trends and a lighter second-half content slate.** The stock has traded between roughly $70 and $72 in recent sessions amid a broader 2026 decline from the $124.86 peak, with the 52-week low at $65.08. Q2 results showed solid 13% revenue growth to $12.56 billion and margin expansion, yet forward guidance and engagement metrics have weighed on sentiment. With no major catalysts before the October 20 earnings release, market-implied odds place the highest probability on the $70–$80 closing bucket for the week of September 21, reflecting current levels and limited near-term volatility. Trader positioning in other ranges remains more dispersed, underscoring uncertainty around any potential rebound or further pressure from margin concerns and competitive dynamics.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
সচরাচর জিজ্ঞাসা