Apple shares traded in a $312–$328 range during the week of August 31, 2026, closing near $325 amid mixed momentum. Recent Q3 results showed 16% revenue growth to $109.4 billion and EPS of $2.02, beating estimates, with strong iPhone and Mac contributions, yet September-quarter guidance signaled moderating expansion and supply constraints. Investor focus centered on the September 9 product event expected to feature the first foldable iPhone and new Mac models, alongside the September 1 CEO transition to John Ternus. A late-week report of slow ramp-up in foldable production triggered a 2.2% drop on September 4, highlighting execution risks ahead of holiday demand. Broader tech sentiment and Treasury yields also influenced short-term price action around these catalysts.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$6,555 Vol.
$290
Yes
$295
Yes
$300
Yes
$305
Yes
$310
Yes
$315
Yes
$320
No
$325
No
$330
No
$335
No
$340
No
$345
No
$350
No
$6,555 Vol.
$290
Yes
$295
Yes
$300
Yes
$305
Yes
$310
Yes
$315
Yes
$320
No
$325
No
$330
No
$335
No
$340
No
$345
No
$350
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.
Market Opened: Aug 28, 2026, 6:00 PM ET
Resolution Source
https://pythdata.app/explore/Equity.US.AAPL%2FUSDResolver
0x65070BE91...Outcome proposed: Yes
No dispute
Final outcome: Yes
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.
Resolution Source
https://pythdata.app/explore/Equity.US.AAPL%2FUSDResolver
0x65070BE91...Outcome proposed: Yes
No dispute
Final outcome: Yes
Apple shares traded in a $312–$328 range during the week of August 31, 2026, closing near $325 amid mixed momentum. Recent Q3 results showed 16% revenue growth to $109.4 billion and EPS of $2.02, beating estimates, with strong iPhone and Mac contributions, yet September-quarter guidance signaled moderating expansion and supply constraints. Investor focus centered on the September 9 product event expected to feature the first foldable iPhone and new Mac models, alongside the September 1 CEO transition to John Ternus. A late-week report of slow ramp-up in foldable production triggered a 2.2% drop on September 4, highlighting execution risks ahead of holiday demand. Broader tech sentiment and Treasury yields also influenced short-term price action around these catalysts.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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