What will Silver (XAGUSD) hit Week of October 5 2026?
24 小時成交量US$5532
累積成交量US$2.5萬
流動性US$7.9萬
截止時間(臺北)2026年10月10日
機率走勢
同時比較 13 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。
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英文原文 · 尚未翻譯
白銀(XAGUSD)在2026年10月5日當週會跌破(低於)60美元嗎?
This market will resolve to "Yes" if, at any point after market creation and during a trading session of the week of October 5 2026, any 1-minute candle for Silver (XAGUSD) has a final "High" or "Low" price equal to or beyond (above for ↑ High Prices, below for ↓ Low Prices) the listed price. Otherwise, this market will resolve to "No".
Only prices achieved during an applicable trading session of the specified timeframe's business days will be considered. The trading session for a given business day typically begins at 6:00 PM ET on the prior calendar date. Under the standard schedule, trading is open from 6:00:00 PM ET Sunday through 5:00:00 PM ET Friday, with a daily break from 5:00:00 PM ET to 6:00:00 PM ET, except where modified by holiday or special-session hours.
Prices will be used exactly as published by Pyth, without rounding.
If Silver (XAGUSD) does not trade at all during the listed time frame, this market will resolve to "No".
In the event of a contract specification change, feed change, or similar structural modification affecting the market during the listed time frame, this market will resolve based on adjusted prices as displayed on Pyth.
The resolution source for this market is Pyth — specifically, the Silver (XAGUSD) "High" and "Low" prices available at https://pythdata.app/explore/Metal.XAG%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published for the relevant CME COMEX futures contract for the underlying metal—COMEX Silver Futures (SI)—may be used to determine whether the listed price was reached during the applicable trading session.