Trader consensus on Netflix (NFLX) share-price outcomes for the week of August 3 shows closely matched implied probabilities of roughly 48% across the $50–$110 bins, underscoring elevated near-term uncertainty ahead of key catalysts. This pricing reflects the market’s aggregation of real-capital bets on variables including expected subscriber additions, revenue growth versus analyst estimates, content spending trends, and broader tech-sector multiple compression tied to Treasury yields and Fed policy signals. Competitive dynamics hinge on whether earnings or guidance revisions push the stock into higher or lower ranges, with macro risk appetite and streaming-industry competition serving as primary swing factors. Resolution will occur shortly after the week closes, limiting time for new information to shift the distribution.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoNetflix (NFLX) closes week of Aug 3 at ___?
$100-$110 90%
$50-$60 48%
$60-$70 48%
$70-$80 48%
<$30
1%
$30-$40
1%
$40-$50
2%
$50-$60
48%
$60-$70
48%
$70-$80
48%
$80-$90
48%
$90-$100
48%
$100-$110
90%
$110-$120
1%
>$120
1%
$100-$110 90%
$50-$60 48%
$60-$70 48%
$70-$80 48%
<$30
1%
$30-$40
1%
$40-$50
2%
$50-$60
48%
$60-$70
48%
$70-$80
48%
$80-$90
48%
$90-$100
48%
$100-$110
90%
$110-$120
1%
>$120
1%
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.
Rynek otwarty: Jul 31, 2026, 6:00 PM ET
Źródło rozstrzygnięcia
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
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.
Źródło rozstrzygnięcia
https://pythdata.app/explore/Equity.US.NFLX%2FUSDResolver
0x69c47De9D...Trader consensus on Netflix (NFLX) share-price outcomes for the week of August 3 shows closely matched implied probabilities of roughly 48% across the $50–$110 bins, underscoring elevated near-term uncertainty ahead of key catalysts. This pricing reflects the market’s aggregation of real-capital bets on variables including expected subscriber additions, revenue growth versus analyst estimates, content spending trends, and broader tech-sector multiple compression tied to Treasury yields and Fed policy signals. Competitive dynamics hinge on whether earnings or guidance revisions push the stock into higher or lower ranges, with macro risk appetite and streaming-industry competition serving as primary swing factors. Resolution will occur shortly after the week closes, limiting time for new information to shift the distribution.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano

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