TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 12, 4:00 PM EST
Polymarket
This event group asks whether Apple (AAPL) stock will close above various price thresholds on Friday, June 12, 2026 (the final trading day of the week of June 8). The group contains 15 related markets spanning two platforms, each using a different data source and resolution methodology to determine the settlement price.
This market will resolve to "Yes" if the official closing price for Apple (AAPL) on the final day of trading of the specified week (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the final session is shortened (for example, due to a market-holiday schedule), the official closing price published for that shortened session will still be used for resolution. If no official closing price is published for that session (for example, due to a trading halt into the close, system issue, delisting, or other disruption), the market will use the last valid on-exchange trade price of the regular session as the effective closing price. The resolution source for this market is Yahoo Finance, specifically the Apple (AAPL) "Close" prices available at https://finance.yahoo.com/quote/AAPL/history, published under "Historical Prices." In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Yahoo Finance.
This market will resolve to "Up" if the Close price for Apple (Pyth AAPL/USD) on June 12, 2026 is strictly higher than the Close price for Apple (Pyth AAPL/USD) on June 5, 2026. Otherwise, this market will resolve to "Down". The Close price for Apple (Pyth AAPL/USD) captured on June 5, 2026, was $307.57278. Resolution source: Pyth AAPL/USD price feed. Other exchanges, spot markets, and oracles will not be used. For example, a weekly Friday market would ordinarily compare that Friday's Close price with the previous Friday's Close price, unless that previous Friday was a market holiday. In that case, it would compare against Thursday's Close price, or the next most recent trading day. If Apple (AAPL) does not trade at all during the regular session on June 12, 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 AAPL 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 AAPL during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
Key catalysts include Apple product announcements, quarterly earnings surprises, shifts in semiconductor supply chains, and broader tech sector sentiment. Macroeconomic data—particularly inflation reports and Federal Reserve commentary—can drive equity market rotation into or out of mega-cap growth stocks like Apple. Competitive pressures from other smartphone and services players, regulatory developments affecting App Store economics, and geopolitical tensions impacting manufacturing also influence weekly price action. Technical levels, options expiry dynamics, and index rebalancing flows during the week of June 8 may create additional volatility. Monitoring these factors helps traders adjust positions as new information arrives.