TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 17, 4:00 PM EST
Polymarket
This market will resolve to "Yes" if the Close price for Apple (AAPL) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the two specified prices are exactly equal, this market will resolve to "No". Closing prices will be used exactly as published by Pyth, without rounding. If Apple (AAPL) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50. 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. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used. If the relevant 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 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 closing 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 stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Apple (AAPL) available at https://pythdata.app/explore/Equity.US.AAPL%2FUSD.
This market will resolve to "Yes" if the Close price for Apple (AAPL) on the final day of trading of the week specified in the title (normally Friday) is higher than the listed price. Otherwise, this market will resolve to "No." If the two specified prices are exactly equal, this market will resolve to "No". Closing prices will be used exactly as published by Pyth, without rounding. If Apple (AAPL) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50. 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. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used. If the relevant 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 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 closing 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 stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Apple (AAPL) available at https://pythdata.app/explore/Equity.US.AAPL%2FUSD.
Prediction market odds often diverge from traditional analyst price targets because they aggregate real-money bets from diverse traders rather than relying on a handful of institutional research teams. While Wall Street analysts publish periodic forecasts based on fundamental analysis, this market prices the outcome dynamically as new information emerges. Traders with conviction can move odds significantly, sometimes reflecting forward-looking sentiment that consensus estimates have not yet captured. Both approaches offer value, but they operate on different timescales and incentive structures.
On Polymarket, this market is priced through an automated market maker that converts trader bets into real-time probability quotes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Participants buy or sell shares representing the outcome, and the price adjusts based on order flow and available liquidity. Higher trading volume typically narrows spreads and improves price discovery, while lower activity can widen the bid-ask gap. The continuous pricing mechanism ensures transparent, verifiable odds at any moment during the market's active window.
This market resolves around Jul 17, 2026, once the trading week concludes and Apple's closing price is verified. The outcome is confirmed against credible public financial data sources that report official stock prices. Traders holding the winning side receive their payout based on the final verified price relative to the threshold specified in the market. Resolution typically occurs within hours of market close, allowing rapid settlement and payout distribution.
Earnings announcements, product launches, macroeconomic data, and shifts in tech sector sentiment can all influence Apple's stock price and trader positioning. Broader market movements, changes in interest rates, and competitive developments may also drive volatility. Real-time news flow, insider transactions, and analyst upgrades or downgrades frequently trigger rapid repricing. Traders monitor these catalysts closely, adjusting positions as new information surfaces and conviction levels shift throughout the week.