WTI Crude Oil (WTI) Up or Down on July 28?

根据「WTI Crude Oil (WTI) Up or Down on July 28?」的最新预测市场数据，交易者已形成强烈共识。

目前，Down 以压倒性的 98.5% 获胜概率主导市场；Up 以 1.5% 位居第二。该市场的下注量已达 $58.9K，反映出市场的高度关注。

为了更好地评估各潜在结果的位置，可依据隐含概率与合约定价将市场划分为三个明显的交易梯队：

🥇 第一梯队：绝对领跑者

• Down (98.5%)：Down 目前拥有最高概率，深受订单簿青睐。看好该结果的交易者面对的「Buy Yes」合约价为 99¢，显示出市场的高度确信。

🥈 第二梯队：主要挑战者

• Up (1.5%)：作为最可行的替代选项，Up 保持着 1.5% 的成真概率，其「Buy Yes」份额目前成交价为 2¢。

This market will resolve to "Up" if the Close price for the Active Month of WTI Crude Oil futures on July 28, 2026, is higher than the Close price for the Active Month of WTI Crude Oil futures on the most recent prior trading day.

This market will resolve to "Down" if the Close price for the Active Month of WTI Crude Oil futures on July 28, 2026, is lower than the Close price for the Active Month of WTI Crude Oil futures on the most recent prior trading day.

E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless Friday were not a trading day under the applicable trading-hours schedule, in which case it would refer to the next most recent prior trading day.

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. Closing prices will be used exactly as published by Pyth, without rounding.

If the two specified closing prices are exactly equal, if the Active Month contract does not trade at all during the relevant trading session, or if the listed date is not a trading day under the applicable trading-hours schedule, the market will resolve 50-50.

For the purposes of this market, trading days will be determined according to the applicable trading hours schedule for the underlying market. 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.

Per CME contract specifications for WTI Crude Oil (CL) futures, a contract's last trading day is three business days prior to the 25th calendar day of the month preceding the contract's delivery month (or four business days prior if the 25th calendar day is not a business day).

The active month changes at the start of the second trading session prior to the nearest listed contract's last trading session. At that point, the next listed contract becomes the active month (i.e., for the final three trading sessions of the nearest listed contract, the contract for the next month is the active month). The trading session for a given business day typically begins at 6:00 PM ET on the prior calendar date.

For example, if the 25th of the month is a Saturday, the last trading session for the nearest listed contract is the session for Tuesday the 21st, and the next listed contract becomes the active month at the start of the trading session for Friday the 17th (6:00 PM ET on Thursday), assuming a standard trading calendar.

Both closing prices will reference the same underlying contract, specifically the contract that is considered the Active Month at the end of the trading session on the specified date.

If either of the relevant days 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 settlement 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 contract specification change, feed change, or similar structural modification affecting the underlying market during the listed time frame, this market will resolve based on adjusted prices as displayed on Pyth.

The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candles for the Active Month of WTI Crude Oil futures available at https://pythdata.app/explore?search=WTI. Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter.

人群共识与投机成交塑造了更宏观的预测市场，而我们的量化算法提供了数据驱动的反向视角。通过分析基本面信号、底层趋势与历史分布，我们的 AI 估值模型为每个结果独立测算出一个「公允价值」概率。

将该公允价值与当前交易价值对比，可揭示出重大背离——即期望值（EV）差。正 EV 差代表统计上被低估的结果，而负 EV 差则提示市场可能存在反应过度。

顶级 AI Alpha 与错误定价套利机会

根据最新一轮数据模型测算，以下几个关键合约存在显著偏离：

• 最被高估的结果：Down 当前交易价为 98.5%，但我们的 AI 测算其公允价值仅为 84.7%，形成 -13.8% 的较大负 EV 差，表明人群可能过度炒作该结果、把溢价推得过高。
• 最佳价值标的（最高 EV）：我们的模型将 Up 识别为盘面上最具价值的机会。市场仅给予其 1.5% 的交易概率，而我们 AI 的公允价值评估为 15.3%——形成可观的 +13.8% EV 差。