NVIDIA shares closed near $218.29 on September 11 after pulling back from the $230 area earlier in the month, reflecting profit-taking following the August 26 earnings beat that delivered $96.2 billion in revenue and $108 billion Q3 guidance. Sustained hyperscaler and enterprise AI demand, Blackwell ramp, and 70% fiscal 2028 revenue outlook underpin bullish trader sentiment, though memory supply constraints and margin pressure from component costs have tempered near-term momentum. With the next earnings slated for November and no major catalysts immediately ahead, the week of September 14 will likely hinge on broader tech sector flows, Treasury yields, and any fresh macro data releases that influence risk appetite for high-beta AI names. Market-implied odds will reflect this balance between structural growth and short-term volatility.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui↑ $244
8%
↑ $240
10%
↑ $236
8%
↑ $232
6%
↑ $228
14%
↑ $224
41%
↑ $220
52%
↓ $216
75%
↓ $212
76%
↓ $208
44%
↓ $204
21%
↓ $200
9%
↓ $196
13%
↓ $192
12%
$1,215 Vol.
↑ $244
8%
↑ $240
10%
↑ $236
8%
↑ $232
6%
↑ $228
14%
↑ $224
41%
↑ $220
52%
↓ $216
75%
↓ $212
76%
↓ $208
44%
↓ $204
21%
↓ $200
9%
↓ $196
13%
↓ $192
12%
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the NVIDIA (NVDA) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NVDA%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Pasar Dibuka: Sep 11, 2026, 6:00 PM ET
Sumber Resolusi
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x65070BE91...Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the NVIDIA (NVDA) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NVDA%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high/low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x65070BE91...NVIDIA shares closed near $218.29 on September 11 after pulling back from the $230 area earlier in the month, reflecting profit-taking following the August 26 earnings beat that delivered $96.2 billion in revenue and $108 billion Q3 guidance. Sustained hyperscaler and enterprise AI demand, Blackwell ramp, and 70% fiscal 2028 revenue outlook underpin bullish trader sentiment, though memory supply constraints and margin pressure from component costs have tempered near-term momentum. With the next earnings slated for November and no major catalysts immediately ahead, the week of September 14 will likely hinge on broader tech sector flows, Treasury yields, and any fresh macro data releases that influence risk appetite for high-beta AI names. Market-implied odds will reflect this balance between structural growth and short-term volatility.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


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