**SK Hynix (SKHY) shares have rallied sharply in the week of September 7, 2026, driven by intensifying AI-related demand for high-bandwidth memory (HBM) amid structurally tight supply.** The ADR climbed to new 52-week highs near $196–$198 on multiple sessions, with daily gains exceeding 4–8% as investors priced in sustained DRAM and HBM pricing power. Key supports include TechInsights projections for DRAM prices rising over 200% year-over-year, inventory levels below 10 days at major producers, and SK Hynix’s leadership in HBM4/HBM4E with mass-production ramp and custom packaging advantages. Recent catalysts feature BofA’s upgrade to Buy with a $250 target, broader analyst consensus at $248 (with outliers to $300), and the company’s large-scale share repurchase program. Sector tailwinds from OpenAI developments and peer strength in memory further reinforced momentum, while elevated capital expenditure guidance signals continued capacity discipline. Traders are monitoring upcoming economic data and any shifts in AI capex visibility for near-term resolution signals.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui↑ $204
31%
↑ $201
45%
↓ $192
54%
↓ $189
55%
↓ $186
59%
↓ $183
34%
↓ $180
21%
↓ $177
13%
↓ $174
7%
↓ $171
50%
↓ $168
50%
↓ $165
50%
↓ $162
50%
↓ $159
50%
↓ $156
50%
$629 Vol.
↑ $204
31%
↑ $201
45%
↓ $192
54%
↓ $189
55%
↓ $186
59%
↓ $183
34%
↓ $180
21%
↓ $177
13%
↓ $174
7%
↓ $171
50%
↓ $168
50%
↓ $165
50%
↓ $162
50%
↓ $159
50%
↓ $156
50%
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 SK hynix (SKHY) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.SKHY%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.SKHY%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 9, 2026, 12:38 PM ET
Sumber Resolusi
https://pythdata.app/explore/Equity.US.SKHY%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 SK hynix (SKHY) "High" and "Low" prices available at https://pythdata.app/explore/Equity.US.SKHY%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.SKHY%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.SKHY%2FUSDResolver
0x65070BE91...**SK Hynix (SKHY) shares have rallied sharply in the week of September 7, 2026, driven by intensifying AI-related demand for high-bandwidth memory (HBM) amid structurally tight supply.** The ADR climbed to new 52-week highs near $196–$198 on multiple sessions, with daily gains exceeding 4–8% as investors priced in sustained DRAM and HBM pricing power. Key supports include TechInsights projections for DRAM prices rising over 200% year-over-year, inventory levels below 10 days at major producers, and SK Hynix’s leadership in HBM4/HBM4E with mass-production ramp and custom packaging advantages. Recent catalysts feature BofA’s upgrade to Buy with a $250 target, broader analyst consensus at $248 (with outliers to $300), and the company’s large-scale share repurchase program. Sector tailwinds from OpenAI developments and peer strength in memory further reinforced momentum, while elevated capital expenditure guidance signals continued capacity discipline. Traders are monitoring upcoming economic data and any shifts in AI capex visibility for near-term resolution signals.
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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