Netflix shares closed at $75.31 on September 17, 2026, down 1.44% and extending a recent slide that has left the stock roughly 38% below its 52-week high near $125 and down about 20% year-to-date. The primary driver of current positioning is the post-July Q2 earnings reaction, when revenue growth of 13% met expectations but softer Q3 guidance of 11.7%—the slowest pace in several quarters—prompted selling amid concerns over decelerating momentum despite ad-tier expansion and record share repurchases. With the next earnings report scheduled for October 20 and no major near-term catalysts before month-end, traders are weighing the stock’s elevated valuation relative to slowing top-line trends against its robust free cash flow and analyst consensus target around $94. Recent sessions have shown heightened volatility tied to broader tech sentiment, keeping short-term closing levels sensitive to daily market moves.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$20
99%
$30
90%
$40
92%
$50
92%
$60
95%
$70
87%
$80
14%
$90
3%
$100
1%
$110
1%
$120
1%
$130
1%
$140
<1%
$349 Vol.
$20
99%
$30
90%
$40
92%
$50
92%
$60
95%
$70
87%
$80
14%
$90
3%
$100
1%
$110
1%
$120
1%
$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 month, 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.
Pasar Dibuka: Aug 28, 2026, 7:14 PM ET
Sumber Resolusi
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 month, 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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x65070BE91...Netflix shares closed at $75.31 on September 17, 2026, down 1.44% and extending a recent slide that has left the stock roughly 38% below its 52-week high near $125 and down about 20% year-to-date. The primary driver of current positioning is the post-July Q2 earnings reaction, when revenue growth of 13% met expectations but softer Q3 guidance of 11.7%—the slowest pace in several quarters—prompted selling amid concerns over decelerating momentum despite ad-tier expansion and record share repurchases. With the next earnings report scheduled for October 20 and no major near-term catalysts before month-end, traders are weighing the stock’s elevated valuation relative to slowing top-line trends against its robust free cash flow and analyst consensus target around $94. Recent sessions have shown heightened volatility tied to broader tech sentiment, keeping short-term closing levels sensitive to daily market moves.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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