TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 11, 4:20 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, it's important to note that analyst forecasts for the Meta stock closing price vary considerably, with estimates ranging across a broad spectrum. This market offers a different perspective, representing the wisdom of the crowd and reflecting real-time sentiment. While analyst opinions are based on fundamental and technical analysis, this market aggregates predictions from individuals willing to put their capital behind their beliefs. Comparing these viewpoints can offer a more comprehensive understanding of potential outcomes.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different potential outcomes for the Meta stock closing price. The price of each share reflects the market's current belief about the probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Price fluctuations are driven by supply and demand, influenced by news, events, and overall market sentiment. The more traders believe an outcome is likely, the higher the price of its corresponding shares will rise.
This market resolves around Sep 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the closing price of Meta stock will be determined by a widely recognized financial data source at the end of trading on the specified week. The market will then pay out to those who correctly predicted the closing price range, based on the pre-defined outcomes available on Polymarket.
Several factors could significantly impact this market before it resolves. Major news announcements concerning Meta's financial performance, user growth, or new product launches would likely cause price swings. Broader macroeconomic trends, such as interest rate changes or shifts in investor sentiment towards the technology sector, could also play a role. Unexpected regulatory developments or significant events affecting the overall stock market could also move this market, as traders react to the changing landscape and adjust their predictions.