Netflix shares traded near $74.35 at the July 16 close before dropping more than 8% in after-hours trading following Q2 2026 results that were largely in line with consensus ($0.80 EPS vs. $0.79 estimate; $12.56 billion revenue vs. ~$12.58–12.59 billion). Softer Q3 guidance and a narrowed full-year revenue range to $51–51.4 billion weighed on sentiment, amid recent analyst price-target cuts and a stock that had already declined sharply from 2025 highs near $128. With earnings now behind it, the near-term path hinges on post-reaction stabilization, trading volume, and broader market risk appetite rather than additional company-specific catalysts. Market-implied odds for finishing the week of July 20 above key levels will reflect how quickly traders price in any rebound or continued pressure on valuation multiples.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoNOWE
Jul 24, 2026
$10
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$50
99%
$60
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$70
41%
$80
9%
$90
20%
$100
1%
$110
<1%
$120
1%
$130
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$4,695 Wol.
$10
$130 Wol.
100%
$20
$130 Wol.
100%
$30
$356 Wol.
100%
$40
$2,270 Wol.
99%
$50
$70 Wol.
99%
$60
$0 Wol.
90%
$70
$0 Wol.
41%
$80
$60 Wol.
9%
$90
$70 Wol.
20%
$100
$227 Wol.
1%
$110
$486 Wol.
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$448 Wol.
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$130
$448 Wol.
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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 traded near $74.35 at the July 16 close before dropping more than 8% in after-hours trading following Q2 2026 results that were largely in line with consensus ($0.80 EPS vs. $0.79 estimate; $12.56 billion revenue vs. ~$12.58–12.59 billion). Softer Q3 guidance and a narrowed full-year revenue range to $51–51.4 billion weighed on sentiment, amid recent analyst price-target cuts and a stock that had already declined sharply from 2025 highs near $128. With earnings now behind it, the near-term path hinges on post-reaction stabilization, trading volume, and broader market risk appetite rather than additional company-specific catalysts. Market-implied odds for finishing the week of July 20 above key levels will reflect how quickly traders price in any rebound or continued pressure on valuation multiples.
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.
Rynek otwarty: Jul 17, 2026, 6:00 PM ET
Wolumen
$4,695Data zakończenia
Jul 24, 2026Rynek otwarty
Jul 17, 2026, 6:00 PM ETŹródło rozstrzygnięcia
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 traded near $74.35 at the July 16 close before dropping more than 8% in after-hours trading following Q2 2026 results that were largely in line with consensus ($0.80 EPS vs. $0.79 estimate; $12.56 billion revenue vs. ~$12.58–12.59 billion). Softer Q3 guidance and a narrowed full-year revenue range to $51–51.4 billion weighed on sentiment, amid recent analyst price-target cuts and a stock that had already declined sharply from 2025 highs near $128. With earnings now behind it, the near-term path hinges on post-reaction stabilization, trading volume, and broader market risk appetite rather than additional company-specific catalysts. Market-implied odds for finishing the week of July 20 above key levels will reflect how quickly traders price in any rebound or continued pressure on valuation multiples.
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.
Wolumen
$4,695Data zakończenia
Jul 24, 2026Rynek otwarty
Jul 17, 2026, 6:00 PM ETŹródło rozstrzygnięcia
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...Netflix shares traded near $74.35 at the July 16 close before dropping more than 8% in after-hours trading following Q2 2026 results that were largely in line with consensus ($0.80 EPS vs. $0.79 estimate; $12.56 billion revenue vs. ~$12.58–12.59 billion). Softer Q3 guidance and a narrowed full-year revenue range to $51–51.4 billion weighed on sentiment, amid recent analyst price-target cuts and a stock that had already declined sharply from 2025 highs near $128. With earnings now behind it, the near-term path hinges on post-reaction stabilization, trading volume, and broader market risk appetite rather than additional company-specific catalysts. Market-implied odds for finishing the week of July 20 above key levels will reflect how quickly traders price in any rebound or continued pressure on valuation multiples.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano
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