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Meta (META) Up or Down on July 6?
polymarket

Meta (META) Up or Down on July 6?

Volume:
$2,634

Meta (META) Up or Down on July 6?

 - Polymarket

Meta (META) Up or Down on July 6? - Polymarket

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Resolved Jul 6, 2026

Closed: Jul 6, 4:00 PM EST

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Meta (META) Up or Down on July 6?

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100%
Yes 100¢No 0¢
0.1¢
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$2,634
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

This market will resolve to "Up" if the Close price for Meta Platforms, Inc. (META) on July 6, 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 6, 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 6, 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 6, 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

On Polymarket, the Meta stock direction market dashboard tracks real-time odds and trading activity for whether Meta's stock price will close up or down on July 6. The interface displays the current probability assigned by traders to each outcome, along with historical price movements and liquidity depth. This live data reflects how the prediction market community is pricing the likelihood of Meta moving higher versus lower on that specific date, updated continuously as new trades flow in.

Prediction markets and traditional analyst forecasts operate on different timescales and methodologies. While equity analysts typically issue longer-term price targets and earnings estimates, this market distills trader conviction into a single binary outcome for a precise date. Comparing the two reveals whether professional consensus and crowd-sourced prediction align on near-term momentum. Prediction markets often incorporate breaking news and intraday sentiment faster than formal analyst updates, making them a complementary signal rather than a replacement for traditional research.

On Polymarket, traders buy and sell shares representing each outcome—Meta up or down—and the market price of those shares directly reflects the probability assigned by the crowd. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders bet on one direction, that outcome's price rises and the opposing outcome falls, creating a continuous price discovery mechanism. The current odds shown on the dashboard represent the last traded price, meaning you can enter or exit your position at the prevailing market rate whenever liquidity is available.

This market resolves around Jul 6, 2026, once the trading day concludes and Meta's closing price is finalized. The outcome is determined by whether the stock closed higher or lower than its opening price on that date, verified against credible public sources. Traders holding shares in the winning outcome receive their payout, while losing shares expire worthless. The resolution is binary and objective, leaving no room for ambiguity once the market close data is confirmed.

Meta's stock price on July 6 could be influenced by quarterly earnings surprises, regulatory announcements, shifts in advertising demand, or broader tech sector momentum. Geopolitical events, interest rate expectations, and macroeconomic data releases often ripple through equities on specific trading days. Company-specific catalysts—such as product launches, executive changes, or competitive developments—can also drive intraday volatility. Traders in this market monitor these signals closely, adjusting their positions as new information emerges and reassessing the probability of an up or down close.