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icon for Netflix (NFLX) closes week of Aug 24 at ___?

Netflix (NFLX) closes week of Aug 24 at ___?

icon for Netflix (NFLX) closes week of Aug 24 at ___?

Netflix (NFLX) closes week of Aug 24 at ___?

Aug 28

Aug 28

$60-$70 50%

$70-$80 50%

$90-$100 50%

>$120 50%

Polymarket
NEW

$60-$70 50%

$70-$80 50%

$90-$100 50%

>$120 50%

Polymarket
NEW

<$30

$0 Vol.

50%

$30-$40

$0 Vol.

50%

$40-$50

$0 Vol.

50%

$50-$60

$0 Vol.

47%

$60-$70

$0 Vol.

50%

$70-$80

$0 Vol.

50%

$80-$90

$0 Vol.

49%

$90-$100

$0 Vol.

50%

$100-$110

$0 Vol.

48%

$110-$120

$0 Vol.

50%

>$120

$0 Vol.

50%

This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday). 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.Trader sentiment for Netflix's closing price the week of August 24 shows closely matched probabilities across ranges, reflecting high short-term uncertainty with no dominant catalyst ahead of the weekend. Absent immediate earnings or regulatory events, the stock's path hinges on broader equity market dynamics, including Fed policy signals, Treasury yields, and tech-sector risk appetite that can drive daily swings of several points. Competitive dynamics center on Netflix's recent revenue trajectory versus analyst estimates, margin expansion from password-sharing enforcement, and content pipeline execution, though these fundamentals exert muted influence over a five-day horizon. Elevated implied volatility and trading volume around any macroeconomic data releases remain the primary swing factors that could shift the market-implied odds.

This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday).

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.
Volume
$0
End Date
Aug 28, 2026
Market Opened
Aug 21, 2026, 6:00 PM ET
This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday). 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.
This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday). 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.Trader sentiment for Netflix's closing price the week of August 24 shows closely matched probabilities across ranges, reflecting high short-term uncertainty with no dominant catalyst ahead of the weekend. Absent immediate earnings or regulatory events, the stock's path hinges on broader equity market dynamics, including Fed policy signals, Treasury yields, and tech-sector risk appetite that can drive daily swings of several points. Competitive dynamics center on Netflix's recent revenue trajectory versus analyst estimates, margin expansion from password-sharing enforcement, and content pipeline execution, though these fundamentals exert muted influence over a five-day horizon. Elevated implied volatility and trading volume around any macroeconomic data releases remain the primary swing factors that could shift the market-implied odds.

This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday).

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.
Volume
$0
End Date
Aug 28, 2026
Market Opened
Aug 21, 2026, 6:00 PM ET
This market will resolve according to the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday). 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.

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Frequently Asked Questions

"Netflix (NFLX) closes week of Aug 24 at ___?" is a prediction market on Polymarket with 11 possible outcomes where traders buy and sell shares based on what they believe will happen. The current leading outcome is "<$30" at 50%, followed by "$30-$40" at 50%. Prices reflect real-time crowd-sourced probabilities. For example, a share priced at 50¢ implies that the market collectively assigns a 50% chance to that outcome. These odds shift continuously as traders react to new developments and information. Shares in the correct outcome are redeemable for $1 each upon market resolution.

"Netflix (NFLX) closes week of Aug 24 at ___?" is a newly created market on Polymarket, launched on Aug 21, 2026. As an early market, this is your opportunity to be among the first traders to set the odds and establish the market's initial price signals. You can also bookmark this page to track volume and trading activity as the market gains traction over time.

To trade on "Netflix (NFLX) closes week of Aug 24 at ___?," browse the 11 available outcomes listed on this page. Each outcome displays a current price representing the market's implied probability. To take a position, select the outcome you believe is most likely, choose "Yes" to trade in favor of it or "No" to trade against it, enter your amount, and click "Trade." If your chosen outcome is correct when the market resolves, your "Yes" shares pay out $1 each. If it's incorrect, they pay out $0. You can also sell your shares at any time before resolution if you want to lock in a profit or cut a loss.

The current frontrunner for "Netflix (NFLX) closes week of Aug 24 at ___?" is "<$30" at 50%, meaning the market assigns a 50% chance to that outcome. The next closest outcome is "$30-$40" at 50%. These odds update in real-time as traders buy and sell shares, so they reflect the latest collective view of what's most likely to happen. Check back frequently or bookmark this page to follow how the odds shift as new information emerges.

The resolution rules for "Netflix (NFLX) closes week of Aug 24 at ___?" define exactly what needs to happen for each outcome to be declared a winner — including the official data sources used to determine the result. You can review the complete resolution criteria in the "Rules" section on this page above the comments. We recommend reading the rules carefully before trading, as they specify the precise conditions, edge cases, and sources that govern how this market is settled.