Recent weakness in Netflix shares, including a 5.3% drop to $78.25 on September 4 amid a UK subscription price increase and rising Treasury yields pressuring growth stocks, sets the tone for the week of September 7. Q2 results showed 13.4% revenue growth with full-year guidance of 13-14%, advertising revenue on track to reach $3 billion, and a $25 billion buyback authorization supporting free cash flow of roughly $12.5 billion. The stock trades well below analyst price targets near $96 and its 52-week high of $126.71, reflecting concerns over decelerating growth rates despite operating margins expanding toward 31.5%. With no major company-specific catalysts until October earnings and broader macro sensitivity to interest rates and tech sentiment, trader positioning for the weekly close will likely hinge on yield movements and any follow-through from the recent sell-off.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$20
100%
$30
90%
$40
99%
$50
98%
$60
90%
$70
90%
$80
29%
$90
5%
$100
5%
$110
5%
$120
9%
$130
1%
$140
1%
$538 Vol.
$20
100%
$30
90%
$40
99%
$50
98%
$60
90%
$70
90%
$80
29%
$90
5%
$100
5%
$110
5%
$120
9%
$130
1%
$140
1%
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.
Mercado abierto: Sep 4, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...Recent weakness in Netflix shares, including a 5.3% drop to $78.25 on September 4 amid a UK subscription price increase and rising Treasury yields pressuring growth stocks, sets the tone for the week of September 7. Q2 results showed 13.4% revenue growth with full-year guidance of 13-14%, advertising revenue on track to reach $3 billion, and a $25 billion buyback authorization supporting free cash flow of roughly $12.5 billion. The stock trades well below analyst price targets near $96 and its 52-week high of $126.71, reflecting concerns over decelerating growth rates despite operating margins expanding toward 31.5%. With no major company-specific catalysts until October earnings and broader macro sensitivity to interest rates and tech sentiment, trader positioning for the weekly close will likely hinge on yield movements and any follow-through from the recent sell-off.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado

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