Recent Q2 2026 results—modest EPS beat offset by a revenue shortfall and subdued full-year outlook—triggered an immediate 7-11% NFLX selloff, leaving shares near $69-70 amid 26% year-to-date declines. This sets up a tightly balanced market for the July 27 weekly close, where comparable probabilities across $40-$120 bins reflect dispersed trader views on near-term stabilization versus further pressure from valuation resets and competitive streaming dynamics. Key swing factors include any follow-through volume, broader tech sentiment, or incremental analyst commentary, as no major corporate events are scheduled before month-end resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日<$30 71%
$110-$120 68%
>$120 68%
$70-$80 66%
新規
新規
2026/07/31
<$30
71%
$30-$40
5%
$40-$50
9%
$50-$60
9%
$60-$70
31%
$70-$80
66%
$80-$90
10%
$90-$100
8%
$100-$110
9%
$110-$120
68%
>$120
68%
<$30 71%
$110-$120 68%
>$120 68%
$70-$80 66%
新規
新規
2026/07/31
<$30
$64 Vol.
71%
$30-$40
$54 Vol.
5%
$40-$50
$0 Vol.
9%
$50-$60
$0 Vol.
9%
$60-$70
$0 Vol.
31%
$70-$80
$0 Vol.
66%
$80-$90
$0 Vol.
10%
$90-$100
$0 Vol.
8%
$100-$110
$0 Vol.
9%
$110-$120
$61 Vol.
68%
>$120
$64 Vol.
68%
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.Recent Q2 2026 results—modest EPS beat offset by a revenue shortfall and subdued full-year outlook—triggered an immediate 7-11% NFLX selloff, leaving shares near $69-70 amid 26% year-to-date declines. This sets up a tightly balanced market for the July 27 weekly close, where comparable probabilities across $40-$120 bins reflect dispersed trader views on near-term stabilization versus further pressure from valuation resets and competitive streaming dynamics. Key swing factors include any follow-through volume, broader tech sentiment, or incremental analyst commentary, as no major corporate events are scheduled before month-end resolution.
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.
マーケット開始日： Jul 24, 2026, 6:00 PM ET
音量
$242終了日
2026/07/31マーケット開始日
Jul 24, 2026, 6:00 PM ETThis 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.Recent Q2 2026 results—modest EPS beat offset by a revenue shortfall and subdued full-year outlook—triggered an immediate 7-11% NFLX selloff, leaving shares near $69-70 amid 26% year-to-date declines. This sets up a tightly balanced market for the July 27 weekly close, where comparable probabilities across $40-$120 bins reflect dispersed trader views on near-term stabilization versus further pressure from valuation resets and competitive streaming dynamics. Key swing factors include any follow-through volume, broader tech sentiment, or incremental analyst commentary, as no major corporate events are scheduled before month-end resolution.
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.
音量
$242終了日
2026/07/31マーケット開始日
Jul 24, 2026, 6:00 PM ETRecent Q2 2026 results—modest EPS beat offset by a revenue shortfall and subdued full-year outlook—triggered an immediate 7-11% NFLX selloff, leaving shares near $69-70 amid 26% year-to-date declines. This sets up a tightly balanced market for the July 27 weekly close, where comparable probabilities across $40-$120 bins reflect dispersed trader views on near-term stabilization versus further pressure from valuation resets and competitive streaming dynamics. Key swing factors include any follow-through volume, broader tech sentiment, or incremental analyst commentary, as no major corporate events are scheduled before month-end resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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