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Meta (META)於10月7日在___上方關閉？
Meta (META) closes above ___ on October 7?
24 小時成交量US$2259.1
累積成交量US$2287.7
流動性US$2.6萬
截止時間（臺北）2026年10月8日
機率走勢
同時比較 5 個選項 · 市場參考機率
此期間尚無可用的歷史行情目前機率仍可在上方選項中查看。
檢視各選項行情數據
結算規則
英文原文 · 尚未翻譯Meta（META）在10月7日的收盤價會高於760美元嗎？
This market will resolve to "Yes" if the Close price for Meta Platforms, Inc. (META) on October 7, 2026 is higher than the listed price. Otherwise, this market will resolve to "No."
If the two specified prices are exactly equal, this market will resolve to "No".
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 the specified 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.
If the listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50.
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 available at https://pythdata.app/explore/Equity.US.META%2FUSD.
官方結算資料來源在 Polymarket 查看完整市場事件背景
This market will resolve to "Yes" if the Close price for Meta Platforms, Inc. (META) on October 7, 2026 is higher than the listed price. Otherwise, this market will resolve to "No."
If the two specified prices are exactly equal, this market will resolve to "No".
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 the specified 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.
If the listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50.
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 available at https://pythdata.app/explore/Equity.US.META%2FUSD.