Netflix shares have traded near $72 following a sharp 4.7% decline on September 18 amid broader market pressure and ongoing rotation out of growth names, placing the stock squarely in the $70–$80 band that commands 76% implied probability for the week of September 21. The 10-for-1 split completed in late 2025 has compressed the nominal price level, while second-quarter results delivered in-line revenue growth of 13% supported by advertising and pricing, yet tempered third-quarter guidance contributed to the year-to-date pullback from the $124 high. Traders appear to be pricing limited near-term catalysts beyond routine content releases and seasonal viewing trends ahead of the October 20 earnings report, with modest volume and contained volatility keeping the probability mass concentrated around current levels rather than signaling a decisive break higher or lower.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour70 $-80 $ 77%
60 $-70 $ 21%
30 $ - 40 $ 7.4%
80 $ - 90 $ 5.6%
<30 $
1%
30 $ - 40 $
7%
40-50 $
4%
50 $ - 60 $
5%
60 $-70 $
21%
70 $-80 $
77%
80 $ - 90 $
6%
90-100 $
4%
100$-110$
4%
110-120 $
1%
>120 $
1%
70 $-80 $ 77%
60 $-70 $ 21%
30 $ - 40 $ 7.4%
80 $ - 90 $ 5.6%
<30 $
1%
30 $ - 40 $
7%
40-50 $
4%
50 $ - 60 $
5%
60 $-70 $
21%
70 $-80 $
77%
80 $ - 90 $
6%
90-100 $
4%
100$-110$
4%
110-120 $
1%
>120 $
1%
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.
Marché ouvert : Sep 18, 2026, 6:00 PM ET
Source de résolution
https://pythdata.app/explore/Equity.US.NFLX%2FUSDRésolveur
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.
Source de résolution
https://pythdata.app/explore/Equity.US.NFLX%2FUSDRésolveur
0x69c47De9D...Netflix shares have traded near $72 following a sharp 4.7% decline on September 18 amid broader market pressure and ongoing rotation out of growth names, placing the stock squarely in the $70–$80 band that commands 76% implied probability for the week of September 21. The 10-for-1 split completed in late 2025 has compressed the nominal price level, while second-quarter results delivered in-line revenue growth of 13% supported by advertising and pricing, yet tempered third-quarter guidance contributed to the year-to-date pullback from the $124 high. Traders appear to be pricing limited near-term catalysts beyond routine content releases and seasonal viewing trends ahead of the October 20 earnings report, with modest volume and contained volatility keeping the probability mass concentrated around current levels rather than signaling a decisive break higher or lower.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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