Epstein client list released by...?

根據「Epstein client list released by...?」的最新預測市場資料，交易者已形成強烈共識。

目前，October 31 以壓倒性的 21.5% 獲勝機率主導市場。該市場的下注量已達 $4.4M，反映出市場的高度關注。

為了更好地評估各潛在結果的位置，可依據隱含機率與合約定價將市場劃分為三個明顯的交易梯隊：

🥇 第一梯隊：絕對領跑者

• October 31 (21.5%)：October 31 目前擁有最高機率，深受訂單簿青睞。看好該結果的交易者面對的「Buy Yes」合約價為 22¢，顯示出市場的高度確信。僅該合約就已產生 $46 的成交量。

This market will resolve to “Yes” if files which were not previously public and which pertain to the illegal activities of Jeffrey Epstein are made public by December 31, 2025, 11:59 PM ET, and those files contain a list of individuals associated with Epstein in connection with his illegal activities, including but not limited to sex trafficking or related crimes. Otherwise, this market will resolve to “No.”

To qualify, the files must contain names in a context equivalent to what is commonly referred to as Epstein’s “client list”—that is, a document that explicitly identifies a list or set of individuals as being directly connected to, participating in, facilitating, funding, soliciting, or otherwise being implicated in Jeffrey Epstein’s illegal activities.

A document may qualify even if it does not contain explicit incriminating language on its face, so long as credible reporting or accompanying official context confirms that the released document is an incriminating client list or functionally equivalent roster of individuals tied to Epstein’s illegal activity.

The following will not qualify:

- Flight logs, passenger manifests, visitor logs, or transportation records which merely show individuals traveling with, meeting with, or visiting Epstein without any explicit or contextual tie to criminal activity.

- Contact books, address lists, social calendars, guest lists, schedules, correspondence logs, or similar documents that include names solely due to social contact, proximity, acquaintance, or logistical interaction with Epstein.

- Any document listing individuals without accompanying language, context, or credible reporting that connects those individuals to Epstein’s illegal activity.

The primary resolution sources for this market will be the released files themselves and a consensus of credible reporting.

人群共識與投機成交塑造了更宏觀的預測市場，而我們的量化演算法提供了資料驅動的反向視角。透過分析基本面訊號、底層趨勢與歷史分布，我們的 AI 估值模型為每個結果獨立測算出一個「公允價值」機率。

將該公允價值與當前交易價值對比，可揭示出重大背離——即期望值（EV）差。正 EV 差代表統計上被低估的結果，而負 EV 差則提示市場可能存在反應過度。

頂級 AI Alpha 與錯誤定價套利機會

根據最新一輪資料模型測算，以下幾個關鍵合約存在顯著偏離：

• 最被高估的結果：October 31 當前交易價為 21.5%，但我們的 AI 測算其公允價值僅為 4.9%，形成 -16.6% 的較大負 EV 差，表明人群可能過度炒作該結果、把溢價推得過高。