TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 4:00 PM EST
Polymarket
This market will resolve to "Yes" if the Close price for Apple (AAPL) on July 9, 2026 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, 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 specified 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. If the listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. 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 available at https://pythdata.app/explore/Equity.US.AAPL%2FUSD.
This market will resolve to "Yes" if the Close price for Apple (AAPL) on July 9, 2026 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, 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 specified 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. If the listed date is not a trading day under the applicable trading-hours schedule as listed on Pyth, this market will resolve 50-50. 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 available at https://pythdata.app/explore/Equity.US.AAPL%2FUSD.
Prediction market odds often diverge from traditional analyst price targets because they reflect real-money incentives and crowd wisdom rather than individual research calls. While Wall Street analysts publish forward estimates based on fundamental analysis, this market aggregates the beliefs of traders who face direct financial consequences for accuracy. Comparing the implied probability here to consensus analyst sentiment can reveal where the market is pricing in tail risks or optimism that the Street has not yet fully captured. Both signals are useful: analysts provide detailed reasoning, while prediction markets offer a dynamic, incentive-aligned probability estimate.
On Polymarket, traders set the odds through an automated market maker that adjusts prices based on buy and sell pressure. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more capital flowing into yes shares, the higher the implied probability climbs; conversely, selling pressure lowers it. This continuous repricing mechanism ensures the market reflects the latest information and sentiment in near real-time. Liquidity providers earn fees on trades, incentivizing tighter spreads and deeper order books, which benefits all participants seeking to enter or exit positions efficiently.
This market resolves around Jul 9, 2026, once Apple's closing stock price for that day is verifiable from credible public sources. The outcome is binary: if AAPL closes at or above the specified price level, yes shares pay out; otherwise, no shares do. Resolution typically occurs within hours of market close, after official price data is confirmed. Traders should monitor for any corporate actions, such as stock splits or dividends, that might affect the closing price or require adjustment to the market terms.
Major catalysts include Apple earnings reports, product announcements, macroeconomic data affecting tech valuations, and shifts in interest rates or market sentiment toward mega-cap stocks. Regulatory developments, competitive pressures, or supply chain news can also shift trader conviction. Broader market volatility, such as Fed policy changes or geopolitical events, often ripples through equities and may influence this market's odds. Intraday momentum and options expiration cycles can create short-term price swings, while longer-term positioning by institutional traders may gradually reprrice the outcome as the event date draws closer.