Netflix shares trade near $74 following a post-earnings decline after the company’s July 16 Q2 report delivered revenue of $12.56 billion and EPS of $0.80, roughly in line with estimates, yet Q3 guidance of $12.86 billion fell short of consensus. Year-to-date performance shows a roughly 21% drop amid slower growth expectations and reduced engagement metric updates, with the stock well below its 52-week high of $126.71. Recent insider sales by executives and narrowed full-year revenue guidance to $51–51.4 billion have weighed on sentiment. Traders will monitor broader market volatility, streaming-sector comparables, and any macroeconomic data releases during the August 10–14 week for directional cues on weekly closing levels.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডWill Netflix (NFLX) finish week of August 10 above___?
Will Netflix (NFLX) finish week of August 10 above___?
নতুন
Aug 14, 2026
$10
100%
$20
100%
$30
99%
$40
88%
$50
88%
$60
88%
$70
83%
$80
6%
$90
5%
$100
5%
$110
9%
$120
9%
$130
1%
$712 Vol.
$10
$137 Vol.
100%
$20
$137 Vol.
100%
$30
$50 Vol.
99%
$40
$17 Vol.
88%
$50
$0 Vol.
88%
$60
$0 Vol.
88%
$70
$0 Vol.
83%
$80
$200 Vol.
6%
$90
$0 Vol.
5%
$100
$0 Vol.
5%
$110
$17 Vol.
9%
$120
$17 Vol.
9%
$130
$137 Vol.
1%
This market will resolve to "Yes" if the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
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 trade near $74 following a post-earnings decline after the company’s July 16 Q2 report delivered revenue of $12.56 billion and EPS of $0.80, roughly in line with estimates, yet Q3 guidance of $12.86 billion fell short of consensus. Year-to-date performance shows a roughly 21% drop amid slower growth expectations and reduced engagement metric updates, with the stock well below its 52-week high of $126.71. Recent insider sales by executives and narrowed full-year revenue guidance to $51–51.4 billion have weighed on sentiment. Traders will monitor broader market volatility, streaming-sector comparables, and any macroeconomic data releases during the August 10–14 week for directional cues on weekly closing levels.
This market will resolve to "Yes" if the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
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 two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
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: Aug 7, 2026, 6:00 PM ET
ভলিউম
$712শেষ তারিখ
Aug 14, 2026মার্কেট ওপেন হয়েছে
Aug 7, 2026, 6:00 PM ETরেজোলিউশন সোর্স
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...This market will resolve to "Yes" if the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
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 trade near $74 following a post-earnings decline after the company’s July 16 Q2 report delivered revenue of $12.56 billion and EPS of $0.80, roughly in line with estimates, yet Q3 guidance of $12.86 billion fell short of consensus. Year-to-date performance shows a roughly 21% drop amid slower growth expectations and reduced engagement metric updates, with the stock well below its 52-week high of $126.71. Recent insider sales by executives and narrowed full-year revenue guidance to $51–51.4 billion have weighed on sentiment. Traders will monitor broader market volatility, streaming-sector comparables, and any macroeconomic data releases during the August 10–14 week for directional cues on weekly closing levels.
This market will resolve to "Yes" if the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No."
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
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 two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
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
$712শেষ তারিখ
Aug 14, 2026মার্কেট ওপেন হয়েছে
Aug 7, 2026, 6:00 PM ETরেজোলিউশন সোর্স
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...Netflix shares trade near $74 following a post-earnings decline after the company’s July 16 Q2 report delivered revenue of $12.56 billion and EPS of $0.80, roughly in line with estimates, yet Q3 guidance of $12.86 billion fell short of consensus. Year-to-date performance shows a roughly 21% drop amid slower growth expectations and reduced engagement metric updates, with the stock well below its 52-week high of $126.71. Recent insider sales by executives and narrowed full-year revenue guidance to $51–51.4 billion have weighed on sentiment. Traders will monitor broader market volatility, streaming-sector comparables, and any macroeconomic data releases during the August 10–14 week for directional cues on weekly closing levels.
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