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特斯拉（ TSLA ）將於10月5日當週___關閉？
Tesla (TSLA) closes week of Oct 5 at ___?
24 小時成交量US$0
累積成交量US$0
流動性US$9266.1
截止時間（臺北）2026年10月10日
機率走勢
同時比較 11 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 · 尚未翻譯特斯拉（TSLA）是否會在 10 月 5 日至 10 月 9 日那一週的最後一個交易日收盤於 $350-$355？
This market will resolve according to the Close price for Tesla, Inc. (TSLA) 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 Tesla, Inc. (TSLA) available at https://pythdata.app/explore/Equity.US.TSLA%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 according to the Close price for Tesla, Inc. (TSLA) 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 Tesla, Inc. (TSLA) available at https://pythdata.app/explore/Equity.US.TSLA%2FUSD.