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Meta (META) Up or Down on June 17?
polymarket

Meta (META) Up or Down on June 17?

Volume:
$1,800

Meta (META) Up or Down on June 17?

 - Polymarket

Meta (META) Up or Down on June 17? - Polymarket

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Resolved Jun 17, 2026

Closed: Jun 17, 4:00 PM EST

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Meta (META) Up or Down on June 17?

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0%
Yes 0¢No 100¢
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$1,800
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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 June 17, 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 June 17, 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 June 17, 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 June 17, 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 prediction market dashboard on Polymarket tracks real-time odds and historical price movements for whether Meta's stock will close higher or lower on June 17. Traders use this interface to monitor current implied probabilities, view 24-hour trading volume, and analyze price trends leading up to market resolution. The dashboard aggregates all buy and sell orders placed by participants, reflecting the collective forecast of the prediction market community regarding Meta's intraday performance on that specific date.

Prediction market odds often diverge from traditional analyst price targets because they reflect real-money incentives and live market sentiment rather than periodic research updates. While equity analysts publish quarterly or event-driven forecasts based on fundamental analysis, this market captures continuous trader conviction about a single day's price movement. Comparing the implied probability here to consensus analyst views on Meta's medium-term outlook can reveal whether short-term traders expect near-term catalysts or volatility that analysts may not have priced into their longer-horizon targets.

On Polymarket, this market is priced through an automated market maker that converts trader orders into real-time odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Participants buy or sell shares representing each outcome—Meta up or down—and the cumulative volume and order flow determine the current probability displayed on the platform. As more capital flows toward one outcome, the price adjusts dynamically, ensuring the market remains responsive to new information and trader sentiment throughout the trading period.

This market resolves around Jun 17, 2026, with the outcome confirmed once Meta's closing stock price on that date is verifiable from credible public sources. The winning outcome is determined by whether the stock price at market close is higher or lower than the opening price on June 17. Resolution occurs shortly after the market close, allowing traders to settle their positions based on the official price data.

Major catalysts that could shift this market include Meta earnings announcements, regulatory developments affecting big tech, macroeconomic data releases, and company-specific news such as product launches or leadership changes. Broader market movements, shifts in advertising spending trends, and changes to artificial intelligence policy could also influence trader positioning. Intraday volatility on June 17 itself—driven by market-wide sentiment, sector rotation, or breaking news—will ultimately determine the final outcome and the winning side of this prediction market.