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Netflix (NFLX) Up or Down on July 10?
polymarket

Netflix (NFLX) Up or Down on July 10?

Volume:
$2,544

Netflix (NFLX) Up or Down on July 10?

 - Polymarket

Netflix (NFLX) Up or Down on July 10? - Polymarket

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Resolved Jul 10, 2026

Closed: Jul 10, 4:00 PM EST

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Netflix (NFLX) Up or Down on July 10?

View
0%
Yes 0¢No 100¢
—
N/A
$2,544
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the Close price for Netflix, Inc. (NFLX) on July 10, 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 July 10, 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).

Polymarket

This market will resolve to "Up" if the Close price for Netflix, Inc. (NFLX) on July 10, 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 July 10, 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).

Frequently asked questions

The Netflix stock direction market dashboard on Polymarket tracks real-time odds and trading activity for whether NFLX will close up or down on July 10. Traders buy and sell shares representing each outcome, with the current price reflecting the collective forecast. The interface displays live odds, historical price movements, and recent trade volume, giving participants a transparent view of how the market is pricing Netflix's intraday performance. This data updates continuously as new trades execute, allowing you to monitor shifting sentiment throughout the trading window.

Prediction market odds and traditional analyst forecasts operate on different timescales and methodologies. Analysts typically issue longer-term price targets based on fundamental research, while this market focuses on a single day's directional move. Prediction markets aggregate real-time trader conviction through financial incentives, often capturing short-term momentum and event-driven catalysts that formal research may not emphasize. Comparing the two reveals how near-term sentiment diverges from longer-term outlooks, offering complementary perspectives on Netflix's stock trajectory.

On Polymarket, traders set the odds by buying and selling outcome shares in an automated market maker (AMM) system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share represents a claim on one outcome—Netflix up or down—and the price of each reflects the probability implied by cumulative trading. As traders place orders, the pool adjusts prices to balance supply and demand, ensuring continuous liquidity. The current odds reflect the latest consensus among active participants, updated in real time as new positions enter the market.

This market resolves around Jul 10, 2026, after the close of trading on July 10. The outcome is determined by comparing Netflix's closing price on that date to its opening price, with the result verified against credible public sources. A closing price above the open settles the up outcome; a close below the open settles down. Once the market closes and the final price is confirmed, the winning outcome is paid out and the losing shares expire worthless.

Several catalysts could shift odds before July 10. Earnings announcements, subscriber growth reports, or streaming competition news may trigger sharp repricing. Broader market movements—interest rate decisions, tech sector rallies, or macroeconomic data—often influence Netflix alongside other large-cap stocks. Insider trading activity, analyst upgrades or downgrades, and changes to content strategy can also sway sentiment. Intraday momentum, options expiration effects, and short-covering activity on the day itself may create volatility that traders actively trade into this market.