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  1. Prediction Markets
  2. Equities
  3. Exxon Mobil (XOM) Up or Down - Daily
Exxon Mobil (XOM) Up or Down - Daily

Exxon Mobil (XOM) Up or Down - Daily

DailyEquitiesCommoditiesBusiness & Corporate4h
LimitlessLimitlessCheck availabilityNo KYC
Current implied probability
Yes
Yes 49.6%
Market quality

28 / 100

Low quality
24h Volume

$0

Liquidity

$0

Low liquidity
Bid / Ask

-

Market data

Updated 1 minute ago

Jun 16, 26, 8:00 PMJun 17, 26, 8:00 PM

Trends

Outcome24hChance

Selected outcome

Yes50%

Rules

This market will resolve to "Up" if the Close price for Exxon Mobil (Pyth XOM/USD) on June 17, 2026, is strictly higher than the Close price for Exxon Mobil (Pyth XOM/USD) on the most recent prior trading day.

Limitless
  • Otherwise, this market will resolve to "Down".


    The Close price for Exxon Mobil (Pyth XOM/USD) captured on June 16, 2026, was $141.75584.


    Resolution source: Pyth XOM/USD price feed.

  • Other exchanges, spot markets, and oracles will not be used.


    For example, a Monday market would ordinarily compare Monday's Close price with the previous Friday's Close price, unless that Friday was a market holiday.

  • In that case, it would compare against Thursday's Close price, or the next most recent trading day.


    If Exxon Mobil (XOM) does not trade at all during the regular session on June 17, 2026, this market will resolve to "Down".


    For a standard full trading session, the Close price refers to the "Close" value of the 1-minute Pyth candle corresponding to the final minute of regular trading hours on the primary exchange.


    If either relevant trading 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 last valid Pyth price during that day's regular trading hours will be used as the effective Close 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 XOM is listed will be used to determine the Close price for that day.


    In the event of a stock split, reverse stock split, or similar corporate action affecting XOM during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.

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Rules

This market will resolve to "Up" if the Close price for Exxon Mobil (Pyth XOM/USD) on June 17, 2026, is strictly higher than the Close price for Exxon Mobil (Pyth XOM/USD) on the most recent prior trading day.

Limitless
  • Otherwise, this market will resolve to "Down".


    The Close price for Exxon Mobil (Pyth XOM/USD) captured on June 16, 2026, was $141.75584.


    Resolution source: Pyth XOM/USD price feed.

  • Other exchanges, spot markets, and oracles will not be used.


    For example, a Monday market would ordinarily compare Monday's Close price with the previous Friday's Close price, unless that Friday was a market holiday.

  • In that case, it would compare against Thursday's Close price, or the next most recent trading day.


    If Exxon Mobil (XOM) does not trade at all during the regular session on June 17, 2026, this market will resolve to "Down".


    For a standard full trading session, the Close price refers to the "Close" value of the 1-minute Pyth candle corresponding to the final minute of regular trading hours on the primary exchange.


    If either relevant trading 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 last valid Pyth price during that day's regular trading hours will be used as the effective Close 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 XOM is listed will be used to determine the Close price for that day.


    In the event of a stock split, reverse stock split, or similar corporate action affecting XOM during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.