TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 17, 4:00 PM EST
Polymarket
This market will resolve according to the Close price for Apple (AAPL) on the final day of trading of the week specified in the title (normally Friday). If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Closing prices will be used exactly as published by Pyth, without rounding. 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 according to the Close price for Apple (AAPL) on the final day of trading of the week specified in the title (normally Friday). If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. Closing prices will be used exactly as published by Pyth, without rounding. 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 reflect real-money bets from traders with skin in the game, often diverging meaningfully from traditional analyst price targets. While Wall Street analysts publish quarterly forecasts based on fundamental research, this market aggregates the collective judgment of active traders betting on a specific weekly close. Analyst consensus tends to move slowly and focuses on longer horizons, whereas prediction markets react instantly to breaking news, earnings surprises, and intraday momentum. For a one-week window, market odds can offer a more dynamic and forward-looking signal than static analyst estimates.
On Polymarket, this market is priced through an automated market maker that converts trader positions into real-time odds for each price bracket outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing their belief in whether AAPL will close within a specific range by the settlement date. The price of each share reflects the probability assigned by the market; higher prices mean higher perceived likelihood. As new information arrives or sentiment shifts, the odds update instantly, and traders can enter or exit positions at any time before the market closes.
This market resolves around Jul 17, 2026, once the final closing price for Apple stock on the last trading day of the week is confirmed. The outcome is determined by which price bracket AAPL actually closes within, verified against credible public sources such as official exchange data or major financial news providers. No further trading occurs after the market end time, and payouts are distributed automatically based on the verified closing price. The resolution is binary for each bracket: either the price falls within the specified range or it does not.
Major catalysts for AAPL price movement include quarterly earnings announcements, product launches, macroeconomic data releases, and shifts in technology sector sentiment. Regulatory news, competitive announcements from rivals, or changes in interest rate expectations can also drive significant repricing. Intraday volatility around Fed decisions, jobs reports, or geopolitical events may cause rapid swings in the odds. Additionally, any Apple-specific news—such as supply chain disruptions, management changes, or guidance revisions—could push the stock toward or away from the predicted range before the week closes.