Netflix shares closed at $77.40 on September 11, 2026, after a 1.83% gain amid broader tech sector moves, leaving the stock down roughly 17% year-to-date and well below the consensus 12-month analyst price target near $94. Primary near-term drivers include ongoing advertising revenue expansion, recent price hikes, and Q2 results that beat estimates on both top and bottom lines, though management signaled slower sequential growth ahead. A new Florida lawsuit alleging improper data collection for ads and child privacy concerns adds regulatory overhang that could pressure sentiment. With next earnings not due until mid-October, traders will focus on macroeconomic factors such as Treasury yields, Fed policy signals, and equity market volatility to gauge whether the share price sustains above key technical levels into the September 18 close.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено$20
-
$30
-
$40
-
$50
50%
$60
50%
$70
50%
$80
15%
$90
50%
$100
50%
$110
99%
$120
99%
$130
99%
$140
99%
$480 Объем
$20
-
$30
-
$40
-
$50
50%
$60
50%
$70
50%
$80
15%
$90
50%
$100
50%
$110
99%
$120
99%
$130
99%
$140
99%
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.
Открытие рынка: Sep 11, 2026, 6:00 PM ET
Источник определения исхода
https://pythdata.app/explore/Equity.US.NFLX%2FUSDКто определяет исход
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.
Источник определения исхода
https://pythdata.app/explore/Equity.US.NFLX%2FUSDКто определяет исход
0x65070BE91...Netflix shares closed at $77.40 on September 11, 2026, after a 1.83% gain amid broader tech sector moves, leaving the stock down roughly 17% year-to-date and well below the consensus 12-month analyst price target near $94. Primary near-term drivers include ongoing advertising revenue expansion, recent price hikes, and Q2 results that beat estimates on both top and bottom lines, though management signaled slower sequential growth ahead. A new Florida lawsuit alleging improper data collection for ads and child privacy concerns adds regulatory overhang that could pressure sentiment. With next earnings not due until mid-October, traders will focus on macroeconomic factors such as Treasury yields, Fed policy signals, and equity market volatility to gauge whether the share price sustains above key technical levels into the September 18 close.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
Не доверяй внешним ссылкам.
Не доверяй внешним ссылкам.
Часто задаваемые вопросы