TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 18, 4:37 PM EST
Polymarket
This market will resolve according to the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday). If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Closing prices will be used exactly as published by Pyth, without rounding. 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 the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used. If the relevant day 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. 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 target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Meta Platforms, Inc. (META) available at https://pythdata.app/explore/Equity.US.META%2FUSD.
This market will resolve according to the Close price for Meta Platforms, Inc. (META) on the final day of trading of the week specified in the title (normally Friday). If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Closing prices will be used exactly as published by Pyth, without rounding. 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 the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used. If the relevant day 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. 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 target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Meta Platforms, Inc. (META) available at https://pythdata.app/explore/Equity.US.META%2FUSD.
Currently, prediction market odds reflect a different perspective than many traditional analyst forecasts for Meta. While some analysts predict continued growth based on recent earnings reports, this market suggests a wider range of possible outcomes, including a potential decline. The collective wisdom of traders on Polymarket may be incorporating factors not fully captured in standard financial models, such as social media sentiment or unforeseen regulatory changes. It's important to consider both viewpoints when forming your own assessment of the Meta stock closing price.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different possible outcomes for the Meta stock closing price. The price of each contract reflects the market's current assessment of its probability. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe a particular outcome is likely, the higher the price of its corresponding contract will rise. This dynamic pricing ensures that the market reflects the latest information and collective intelligence of participants.
This market resolves around Sep 18, 2026, with the outcome confirmed once the Meta stock closing price for the week of September 14th is verifiable from credible public reporting. The market will settle based on the official closing price reported by a major financial exchange. Traders will then be paid out according to their holdings in contracts representing the correct price range. This ensures a transparent and objective resolution process, reflecting the actual market performance of Meta stock.
Several signals or events could significantly move this market before it resolves. Major news regarding Meta’s financial performance, such as unexpected earnings reports or changes in user growth, would likely have a substantial impact. Regulatory announcements concerning data privacy or antitrust issues could also shift trader sentiment. Additionally, broader economic factors, like interest rate changes or shifts in the overall stock market, may influence predictions for the Meta stock closing price. Unexpected events, such as a major product launch or a significant security breach, could also cause volatility.