TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 24, 4:44 PM EST
Polymarket
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.
Prediction market odds often diverge from traditional analyst price targets because they reflect real-money incentives and crowd wisdom rather than institutional research alone. While Wall Street analysts publish periodic target prices based on fundamental analysis, this market prices Netflix's weekly close through continuous trading by thousands of participants betting with actual capital. Analysts may focus on longer-term valuations, whereas prediction markets concentrate on near-term precision. Comparing the implied odds here to published analyst consensus can reveal whether the crowd expects near-term upside or downside relative to professional expectations, offering a complementary signal for investors tracking the stock.
On Polymarket, this market is priced through an automated market maker that converts trader positions into real-time odds for each price bracket. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing different closing price outcomes, and the platform's algorithm adjusts odds based on order flow and liquidity depth. Higher trading volume typically narrows the spread between bid and ask prices, making it cheaper to enter or exit a position. The continuous pricing mechanism means odds shift instantly as new trades arrive, so the market reflects up-to-the-minute consensus on where Netflix will close by the end of that week.
This market resolves around Jul 24, 2026, once the week concludes and Netflix's official closing price is verifiable from credible public reporting. The outcome is determined by where NFLX stock actually closes on the final trading day of that week, confirmed through standard financial data sources. Traders holding shares in the correct price bracket receive their payout, while incorrect positions expire worthless. The resolution is objective and based on publicly available market data, ensuring all participants can independently verify the result.
Netflix earnings announcements, subscriber growth reports, and competitive streaming news can all shift odds significantly in this market. Macroeconomic data—interest rate decisions, inflation reports, or recession signals—often moves the broader tech sector and Netflix with it. Management guidance, content performance metrics, and advertising revenue updates are key catalysts traders monitor. Broader market volatility, changes in consumer spending patterns, and competitive pressures from other streaming platforms also influence weekly price expectations. Any unexpected corporate action, regulatory development, or shift in sentiment about the streaming industry can trigger rapid repricing as traders adjust their positions ahead of the closing bell.