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 24, 4:42 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 often diverge from traditional analyst price targets because they aggregate real-money bets from thousands of traders rather than relying on a handful of institutional estimates. While equity analysts publish formal forecasts based on fundamental research, this market reflects dynamic crowd sentiment updated minute-by-minute. Analysts typically issue quarterly or event-driven updates, whereas prediction markets respond instantly to earnings surprises, macroeconomic data, and intraday volatility. Over time, prediction markets have shown competitive accuracy against analyst consensus, particularly for near-term price movements where information asymmetry is lower.
On Polymarket, this market is priced through an automated market maker that converts trader positions into real-time odds for each outcome bracket. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing different closing price ranges, and the cumulative order flow determines the probability weight assigned to each outcome. The platform displays odds as percentages, making it easy to compare relative likelihood across all possible closing prices. Prices adjust continuously as new trades flow in, ensuring the market reflects the most current consensus on where AAPL will settle by week's end.
This market resolves around Jul 24, 2026, once the trading week concludes and Apple's official closing price is finalized. The outcome is determined by verifying AAPL's closing price against credible public financial data sources. Traders holding shares in the outcome bracket that matches the actual closing price receive their payout, while other positions expire worthless. Resolution is typically confirmed within hours of market close, allowing rapid settlement and payout distribution to winning participants.
Major catalysts that could shift this market include Apple earnings announcements, product launches, regulatory developments, and macroeconomic data releases affecting tech stocks broadly. Unexpected supply chain disruptions, competitive announcements from rivals, or changes in interest rate expectations can trigger sharp repricing. Intraday volatility from options expiration, index rebalancing, or large institutional trades may also influence closing prices. Geopolitical events, currency fluctuations, and sector rotation flows represent additional factors traders monitor. Real-time news flow and social sentiment can accelerate price movements, especially in the final trading sessions before resolution.