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

According to the latest prediction market data for the query “WTI Crude Oil (WTI) Up or Down on July 28?”, traders have formed a strong consensus.

Currently, Down is dominating the market with an overwhelming 98.5% chance of winning. Up follows in second place at 1.5%. The betting volume for this specific market has already reached $58.9K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Down (98.5%): Currently commanding the highest probability, Down is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 99¢, signaling a high degree of market conviction.

🥈 Tier 2: The Primary Challengers

• Up (1.5%): Positioned as the most viable alternative, Up maintains a 1.5% chance of resolving true. Its “Buy Yes” shares currently trade at 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.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Down currently trades at 98.5%, but our AI places its Fair Value at just 84.7%. This creates a large negative EV Gap of -13.8%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Up as the premium value opportunity on the board. While the market only assigns it a 1.5% trading probability, our AI’s Fair Value assessment sits at 15.3% — yielding an impressive +13.8% EV Gap.