Netflix shares closed at $77.40 on September 11, 2026, after trading in a $76–82 range over the prior week amid modest volume and limited volatility. The $70–80 bin leads at 82.5% implied probability because the stock has consolidated near current levels following a 35%+ decline from its 2025 peak, with no major near-term catalysts until the October 19–20 earnings release. Broader positioning reflects ongoing revenue growth of 13–16% year-over-year, a Moderate Buy analyst consensus with average price targets near $94–97, and recent headlines including a Florida lawsuit over data practices. Elevated probabilities on wider ranges such as >$120 or sub-$40 capture tail risks around potential volatility spikes or macro shifts, though trader capital concentration underscores expectations for range-bound action into the week of September 14.
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$70-$80 84%
$50-$60 37%
$90-$100 34%
$110-$120 34%
<$30
25%
$30-$40
11%
$40-$50
22%
$50-$60
37%
$60-$70
26%
$70-$80
84%
$80-$90
15%
$90-$100
34%
$100-$110
30%
$110-$120
34%
>$120
31%
$70-$80 84%
$50-$60 37%
$90-$100 34%
$110-$120 34%
<$30
25%
$30-$40
11%
$40-$50
22%
$50-$60
37%
$60-$70
26%
$70-$80
84%
$80-$90
15%
$90-$100
34%
$100-$110
30%
$110-$120
34%
>$120
31%
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.
Mercado abierto: Sep 11, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x69c47De9D...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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x69c47De9D...Netflix shares closed at $77.40 on September 11, 2026, after trading in a $76–82 range over the prior week amid modest volume and limited volatility. The $70–80 bin leads at 82.5% implied probability because the stock has consolidated near current levels following a 35%+ decline from its 2025 peak, with no major near-term catalysts until the October 19–20 earnings release. Broader positioning reflects ongoing revenue growth of 13–16% year-over-year, a Moderate Buy analyst consensus with average price targets near $94–97, and recent headlines including a Florida lawsuit over data practices. Elevated probabilities on wider ranges such as >$120 or sub-$40 capture tail risks around potential volatility spikes or macro shifts, though trader capital concentration underscores expectations for range-bound action into the week of September 14.
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
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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