Netflix shares closed at $77.40 on September 11, 2026, within a 52-week range of $65.08 to $124.86 after declining sharply from early-September levels near $83. Q2 2026 results showed revenue of $12.56 billion, up 13% year over year, supported by subscriber growth and expanding ad revenue projected at $3 billion for the full year, though management guided to slower sequential expansion. A recent Florida lawsuit alleging improper data collection for advertising adds regulatory overhang, while ongoing price increases in select markets continue to support monetization. Traders are focused on near-term volatility around current levels ahead of the October 20 earnings release and broader equity-market sensitivity to interest-rate expectations.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日新規
2026/09/18
↑ $92.50
3%
↑ $90
8%
↑ $87.50
7%
↑ 85ドル
10%
↑ $82.50
10%
↑ $80
41%
↑ $77.50
93%
↓ $75
43%
↓ $72.50
11%
↓ $70
10%
↓ $67.50
11%
↓ $65
8%
↓ $62.50
10%
↓ $60
1%
$111 Vol.
↑ $92.50
$11 Vol.
3%
↑ $90
$18 Vol.
8%
↑ $87.50
$20 Vol.
7%
↑ 85ドル
$0 Vol.
10%
↑ $82.50
$0 Vol.
10%
↑ $80
$0 Vol.
41%
↑ $77.50
$0 Vol.
93%
↓ $75
$0 Vol.
43%
↓ $72.50
$0 Vol.
11%
↓ $70
$0 Vol.
10%
↓ $67.50
$0 Vol.
11%
↓ $65
$0 Vol.
8%
↓ $62.50
$20 Vol.
10%
↓ $60
$42 Vol.
1%
This market will resolve to "Yes" if, at any point after market creation and during the week of September 14 2026, any 1-minute candle for Netflix, Inc. (NFLX) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NFLX%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.Netflix shares closed at $77.40 on September 11, 2026, within a 52-week range of $65.08 to $124.86 after declining sharply from early-September levels near $83. Q2 2026 results showed revenue of $12.56 billion, up 13% year over year, supported by subscriber growth and expanding ad revenue projected at $3 billion for the full year, though management guided to slower sequential expansion. A recent Florida lawsuit alleging improper data collection for advertising adds regulatory overhang, while ongoing price increases in select markets continue to support monetization. Traders are focused on near-term volatility around current levels ahead of the October 20 earnings release and broader equity-market sensitivity to interest-rate expectations.
This market will resolve to "Yes" if, at any point after market creation and during the week of September 14 2026, any 1-minute candle for Netflix, Inc. (NFLX) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NFLX%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NFLX%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
マーケット開始日： Sep 11, 2026, 6:00 PM ET
音量
$111終了日
2026/09/18マーケット開始日
Sep 11, 2026, 6:00 PM ETThis market will resolve to "Yes" if, at any point after market creation and during the week of September 14 2026, any 1-minute candle for Netflix, Inc. (NFLX) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NFLX%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.Netflix shares closed at $77.40 on September 11, 2026, within a 52-week range of $65.08 to $124.86 after declining sharply from early-September levels near $83. Q2 2026 results showed revenue of $12.56 billion, up 13% year over year, supported by subscriber growth and expanding ad revenue projected at $3 billion for the full year, though management guided to slower sequential expansion. A recent Florida lawsuit alleging improper data collection for advertising adds regulatory overhang, while ongoing price increases in select markets continue to support monetization. Traders are focused on near-term volatility around current levels ahead of the October 20 earnings release and broader equity-market sensitivity to interest-rate expectations.
This market will resolve to "Yes" if, at any point after market creation and during the week of September 14 2026, any 1-minute candle for Netflix, Inc. (NFLX) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NFLX%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Netflix, Inc. (NFLX) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NFLX%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
音量
$111終了日
2026/09/18マーケット開始日
Sep 11, 2026, 6:00 PM ETNetflix shares closed at $77.40 on September 11, 2026, within a 52-week range of $65.08 to $124.86 after declining sharply from early-September levels near $83. Q2 2026 results showed revenue of $12.56 billion, up 13% year over year, supported by subscriber growth and expanding ad revenue projected at $3 billion for the full year, though management guided to slower sequential expansion. A recent Florida lawsuit alleging improper data collection for advertising adds regulatory overhang, while ongoing price increases in select markets continue to support monetization. Traders are focused on near-term volatility around current levels ahead of the October 20 earnings release and broader equity-market sensitivity to interest-rate expectations.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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