Recent Apple earnings relative to consensus estimates, combined with supply chain updates ahead of the fall product cycle, are shaping the closely matched probabilities across multiple price buckets for the September 14 week close. Traders are pricing in uncertainty around AI feature adoption, China demand trends, and broader equity volatility tied to Treasury yields and Federal Reserve policy signals. The wide distribution of implied odds highlights competing factors: potential revenue growth from services and hardware versus margin pressures and macroeconomic sensitivity, with the upcoming week’s trading volume and any pre-announcement moves serving as key swing elements before resolution.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於低於310美元 22%
$310-$315 22%
$350-$355 22%
高於355美元 22%
最新
最新
2026-09-18
低於310美元
22%
$310-$315
22%
$315-$320
5%
320至325美元
9%
$325-$330
12%
$330-$335
14%
$335-$340
13%
$340-$345
10%
$345-$350
6%
$350-$355
22%
高於355美元
22%
低於310美元 22%
$310-$315 22%
$350-$355 22%
高於355美元 22%
最新
最新
2026-09-18
低於310美元
$0 交易量
22%
$310-$315
$0 交易量
22%
$315-$320
$0 交易量
5%
320至325美元
$0 交易量
9%
$325-$330
$0 交易量
12%
$330-$335
$0 交易量
14%
$335-$340
$0 交易量
13%
$340-$345
$0 交易量
10%
$345-$350
$0 交易量
6%
$350-$355
$0 交易量
22%
高於355美元
$0 交易量
22%
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.Recent Apple earnings relative to consensus estimates, combined with supply chain updates ahead of the fall product cycle, are shaping the closely matched probabilities across multiple price buckets for the September 14 week close. Traders are pricing in uncertainty around AI feature adoption, China demand trends, and broader equity volatility tied to Treasury yields and Federal Reserve policy signals. The wide distribution of implied odds highlights competing factors: potential revenue growth from services and hardware versus margin pressures and macroeconomic sensitivity, with the upcoming week’s trading volume and any pre-announcement moves serving as key swing elements before resolution.
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.
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.
市場開放時間： Sep 11, 2026, 6:00 PM ET
交易量
$0結束日期
2026-09-18市場開放時間
Sep 11, 2026, 6:00 PM ETThis 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.Recent Apple earnings relative to consensus estimates, combined with supply chain updates ahead of the fall product cycle, are shaping the closely matched probabilities across multiple price buckets for the September 14 week close. Traders are pricing in uncertainty around AI feature adoption, China demand trends, and broader equity volatility tied to Treasury yields and Federal Reserve policy signals. The wide distribution of implied odds highlights competing factors: potential revenue growth from services and hardware versus margin pressures and macroeconomic sensitivity, with the upcoming week’s trading volume and any pre-announcement moves serving as key swing elements before resolution.
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.
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.
交易量
$0結束日期
2026-09-18市場開放時間
Sep 11, 2026, 6:00 PM ETRecent Apple earnings relative to consensus estimates, combined with supply chain updates ahead of the fall product cycle, are shaping the closely matched probabilities across multiple price buckets for the September 14 week close. Traders are pricing in uncertainty around AI feature adoption, China demand trends, and broader equity volatility tied to Treasury yields and Federal Reserve policy signals. The wide distribution of implied odds highlights competing factors: potential revenue growth from services and hardware versus margin pressures and macroeconomic sensitivity, with the upcoming week’s trading volume and any pre-announcement moves serving as key swing elements before resolution.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
Frequently Asked Questions