TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 23, 4:35 PM EST
Polymarket
This market will resolve to "Yes" if the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the two specified prices are exactly equal, this market will resolve to "No". Closing prices will be used exactly as published by Pyth, without rounding. If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50. 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 to "Yes" if the Close price for Netflix, Inc. (NFLX) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the two specified prices are exactly equal, this market will resolve to "No". Closing prices will be used exactly as published by Pyth, without rounding. If Netflix, Inc. (NFLX) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50. 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.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief about the outcome. The price of these shares directly reflects the implied probability of Netflix finishing the week of October 19 above the specified price. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price adjusts to reflect the evolving consensus. The current volume indicates the level of interest and confidence in the market's prediction.
This market resolves around Oct 23, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the closing price of Netflix (NFLX) stock on the Friday of the week of October 19 will be compared to the market's threshold to determine whether the market resolves in favor of the 'above' outcome or not. The resolution will be based on a widely recognized financial data source, ensuring transparency and accuracy in determining the final result of this market.
Several factors could significantly impact this market. Major news concerning Netflix, such as quarterly earnings reports, subscriber growth announcements, or changes in leadership, would likely cause price fluctuations. Broader market trends, including overall economic conditions and investor sentiment towards the technology sector, could also play a role. Unexpected news related to competitors in the streaming space, or significant regulatory changes affecting the media industry, could also move this market. Any developments that alter expectations for Netflix's future performance are likely to be reflected in trading activity.