Netflix shares closed September 18 at $71.79 after a 4.67% drop triggered by Wells Fargo’s downgrade to Underweight and a slashed $57 price target, citing softening engagement trends and risks from higher live-content spending. This near-term pressure aligns with the market-implied 77% probability for a $70–$80 close the following week, as the stock trades near 52-week lows amid a broader 40%+ decline from its 2025 peak. Broader analyst consensus remains a Moderate Buy with average targets near $94–$96, supported by Q2 revenue growth of 13% to $12.6 billion, robust free cash flow, and an active buyback program, though revenue expansion is decelerating toward 11–12% for Q3. The October 20 earnings release represents the next major catalyst that could shift sentiment on membership trends and 2026 guidance.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено< $30 87%
$30–$40 87%
>$120 87%
$70-$80 77%
< $30
87%
$30–$40
87%
$40-$50
44%
$50-$60
44%
$60-$70
21%
$70-$80
77%
$80-$90
44%
$90-$100
44%
$100-$110
44%
$110-$120
44%
>$120
87%
< $30 87%
$30–$40 87%
>$120 87%
$70-$80 77%
< $30
87%
$30–$40
87%
$40-$50
44%
$50-$60
44%
$60-$70
21%
$70-$80
77%
$80-$90
44%
$90-$100
44%
$100-$110
44%
$110-$120
44%
>$120
87%
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.
Открытие рынка: Sep 18, 2026, 6:00 PM ET
Источник определения исхода
https://pythdata.app/explore/Equity.US.NFLX%2FUSDКто определяет исход
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.
Источник определения исхода
https://pythdata.app/explore/Equity.US.NFLX%2FUSDКто определяет исход
0x69c47De9D...Netflix shares closed September 18 at $71.79 after a 4.67% drop triggered by Wells Fargo’s downgrade to Underweight and a slashed $57 price target, citing softening engagement trends and risks from higher live-content spending. This near-term pressure aligns with the market-implied 77% probability for a $70–$80 close the following week, as the stock trades near 52-week lows amid a broader 40%+ decline from its 2025 peak. Broader analyst consensus remains a Moderate Buy with average targets near $94–$96, supported by Q2 revenue growth of 13% to $12.6 billion, robust free cash flow, and an active buyback program, though revenue expansion is decelerating toward 11–12% for Q3. The October 20 earnings release represents the next major catalyst that could shift sentiment on membership trends and 2026 guidance.
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