TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 26, 4:00 PM EST
Polymarket
This market will resolve to "Up" if the Close price for Netflix, Inc. (NFLX) on June 26, 2026 is higher than the Close price for Netflix, Inc. (NFLX) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Netflix, Inc. (NFLX) on June 26, 2026 is lower than the Close price for Netflix, Inc. (NFLX) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. 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, 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 either of the relevant days 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. 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. 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 resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD. 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).
This market will resolve to "Up" if the Close price for Netflix, Inc. (NFLX) on June 26, 2026 is higher than the Close price for Netflix, Inc. (NFLX) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Netflix, Inc. (NFLX) on June 26, 2026 is lower than the Close price for Netflix, Inc. (NFLX) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. 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, 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 either of the relevant days 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. 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. 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 resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.NFLX%2FUSD. 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).
Prediction market odds often diverge from traditional analyst price targets because they aggregate real-money bets from diverse participants rather than relying on a single research methodology. While Wall Street analysts publish earnings estimates and 12-month price targets, this market distills moment-to-moment trader conviction into binary odds for a specific date. Analysts may focus on long-term fundamentals, whereas prediction market participants price in near-term catalysts, earnings announcements, and macroeconomic shifts. Comparing the two reveals whether the crowd expects near-term momentum to align with or contradict consensus analyst sentiment on Netflix's trajectory.
On Polymarket, traders set prices through an automated market maker that balances buy and sell orders for up and down outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The cost to purchase a share reflecting an up move or down move fluctuates based on order flow and available liquidity. When demand for one outcome rises, its price increases and the opposing outcome's price falls, ensuring the two always sum to $1. This mechanism incentivizes arbitrage and attracts traders seeking to profit from mispricing, ultimately driving prices toward fair-value estimates of the true probability.
This market resolves around Jun 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on whether NFLX closes above or below its opening price on that date, as reflected in official market data. Traders holding shares in the winning outcome receive their payout once the close is finalized and the market is officially settled. Until that moment, positions remain open and prices continue to shift based on intraday developments and trader sentiment.
Netflix earnings announcements, subscriber growth reports, and management guidance can trigger sharp repricing as traders reassess the company's near-term trajectory. Broader market movements, interest-rate decisions, and tech-sector sentiment also influence NFLX positioning. Competitive pressures from streaming rivals, content performance metrics, and advertising revenue trends may sway trader conviction. Macroeconomic data releases, changes in consumer spending patterns, and any company-specific news—such as executive changes or strategic partnerships—can shift odds significantly. Real-time price action in the hours leading up to market close often reflects last-minute positioning and risk adjustments.