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Meta (META) Up or Down on July 1?
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Meta (META) Up or Down on July 1?

Volume:
$2,717

Meta (META) Up or Down on July 1?

 - Polymarket

Meta (META) Up or Down on July 1? - Polymarket

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Resolved Jul 1, 2026

Closed: Jul 1, 4:00 PM EST

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Meta (META) Up or Down on July 1?

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100%
Yes 100¢No 0¢
0.1¢
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$2,717
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Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the Close price for Meta Platforms, Inc. (META) on July 1, 2026 is higher than the Close price for Meta Platforms, Inc. (META) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Meta Platforms, Inc. (META) on July 1, 2026 is lower than the Close price for Meta Platforms, Inc. (META) 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 Meta Platforms, Inc. (META) 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.META%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.META%2FUSD?t=1773432000).

Polymarket

This market will resolve to "Up" if the Close price for Meta Platforms, Inc. (META) on July 1, 2026 is higher than the Close price for Meta Platforms, Inc. (META) on the most recent prior trading day. This market will resolve to "Down" if the Close price for Meta Platforms, Inc. (META) on July 1, 2026 is lower than the Close price for Meta Platforms, Inc. (META) 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 Meta Platforms, Inc. (META) 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.META%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.META%2FUSD?t=1773432000).

Frequently asked questions

The Meta stock price movement market tracks whether META shares will close higher or lower on July 1st. On Polymarket, this dashboard displays real-time odds for both outcomes, along with historical price movements and trading volume. Traders use this data to monitor how market sentiment shifts as earnings reports, regulatory news, and broader tech sector trends emerge. The interface shows cumulative activity and lets participants compare current pricing against their own forecasts of Meta's stock direction on the specified date.

Prediction market odds often diverge from traditional analyst price targets because they aggregate real-time trader conviction rather than periodic research updates. While Wall Street analysts may issue quarterly or annual forecasts, this market reflects continuous reassessment by participants who have direct financial incentive to forecast accurately. Analyst consensus typically focuses on longer-term valuations, whereas prediction markets concentrate on a specific date outcome. Comparing the two can reveal whether professional analysts and active traders agree on Meta's near-term direction or if market participants are pricing in catalysts analysts have overlooked.

On Polymarket, traders set the odds through an automated market maker that adjusts prices based on order flow and liquidity. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome—Meta stock up or down—is represented as a separate contract, and the combined probability of both outcomes should sum to 100 percent. As traders buy or sell shares of either outcome, the price shifts to reflect new information and shifting sentiment. This mechanism ensures that the market price at any moment represents the collective belief of all active participants about which direction Meta's stock will move by the resolution date.

This market resolves around Jul 1, 2026, after Meta's stock trading closes on that day. The outcome is determined by comparing the closing price on July 1st to the previous trading day's close, with the result verified against credible public financial data sources. Once the official closing price is confirmed, the winning outcome is locked in and traders' positions settle accordingly. No further trading occurs after the market closes on the resolution date.

Meta earnings announcements, regulatory developments, and shifts in advertising demand are key catalysts that could swing this market significantly. Broader tech sector movements, changes in interest rates, and macroeconomic data also influence investor sentiment toward Meta shares. Product announcements, executive commentary, or competitive pressures from rivals can trigger rapid repricing. Additionally, geopolitical events or shifts in AI investment trends may alter trader expectations about Meta's near-term stock performance, causing odds to shift materially in the weeks leading up to July 1st.