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Netflix (NFLX) Up or Down on July 1?
polymarket

Netflix (NFLX) Up or Down on July 1?

Volume:
$635

Netflix (NFLX) Up or Down on July 1?

 - Polymarket

Netflix (NFLX) Up or Down on July 1? - Polymarket

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Negative

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·

Resolved Jul 1, 2026

Closed: Jul 1, 4:00 PM EST

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Netflix (NFLX) Up or Down on July 1?

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$635
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 1, 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 1, 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 1, 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 1, 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 NFLX stock price movement market dashboard on Polymarket tracks real-time odds and historical price data for whether Netflix's stock will close higher or lower on July 1st. Traders buy and sell shares representing each outcome, and the current market price reflects the collective probability assigned by participants. The dashboard displays the latest odds for both directions, 24-hour volume activity, and a price history chart so you can monitor how sentiment has shifted as new information emerges.

Prediction market odds and traditional analyst forecasts often diverge because they operate on different timescales and incentive structures. Analysts typically publish quarterly or annual price targets based on fundamental research, while this market aggregates real-time trader conviction about a single-day outcome. Prediction markets reward accuracy with direct financial gain, which can make them faster to incorporate breaking news, earnings surprises, or macroeconomic shifts. However, analyst consensus remains valuable for understanding longer-term valuation trends that may influence intraday momentum.

On Polymarket, this market is priced through an automated market maker (AMM) model where traders continuously buy and sell outcome shares. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome—up or down—fluctuates based on supply and demand; as more traders bet on one direction, that outcome's price rises and the opposing outcome's price falls. This mechanism ensures liquidity and allows participants to enter or exit positions at transparent, real-time rates without waiting for a counterparty.

This market resolves around Jul 1, 2026, once the trading day concludes and Netflix's closing stock price is finalized. The outcome is determined by comparing the closing price on that date to the previous trading day's close. If the stock finishes higher, the up outcome wins; if it finishes lower, the down outcome wins. Resolution is verified against credible public financial data sources to ensure accuracy and fairness for all participants.

Several catalysts could shift odds significantly before July 1st. Earnings announcements, subscriber growth reports, or management guidance updates are primary drivers for Netflix sentiment. Broader market movements—interest rate decisions, tech sector rallies, or macroeconomic data—can also influence stock direction. Competitive announcements from rivals, content performance metrics, or regulatory news may trigger rapid repricing. Traders monitor financial news, social media sentiment, and options market activity to anticipate intraday volatility and adjust their positions accordingly.