SKHY, the Nasdaq-listed American depositary shares of SK hynix Inc., the world's second-largest DRAM supplier and leading maker of high-bandwidth memory (HBM) used in AI accelerators, moved sharply higher on Monday. Shares advanced about 5.3% to roughly $143.77, up from a prior-session close of $136.49, as investors bought back into memory-chip names after a bruising sell-off. The rally reflected a sector-wide rebound rather than any single company-specific announcement.
The move was led by a recovery across the memory and semiconductor complex. SKHY had just endured its sharpest weekly decline in years — a drop of roughly 15% in Seoul trading, the biggest weekly fall for SK hynix since the 2008 financial crisis — as investors questioned whether heavy AI infrastructure spending would generate sufficient returns. On Monday, that pessimism eased, and bargain hunters stepped in to lift the stock from deeply oversold conditions.
Peers moved in sympathy. SNDK (SanDisk), WDC (Western Digital), and MU (Micron Technology) all posted solid gains, with the broader memory segment rising together and the Philadelphia Semiconductor Index up more than 3% intraday.
The rebound was reinforced by two high-profile comments. South Korea's finance minister said the semiconductor boom is likely to persist through at least 2027, describing the supply-demand gap as still very large. Separately, Nvidia (NVDA) Chief Executive Jensen Huang indicated that customer orders for AI chips continue to outpace supply, easing fears that demand for the HBM and DRAM that SKHY supplies is cooling.
A report that Nvidia has asked its memory suppliers — including SK hynix, Micron, and Samsung — to adopt Taiwan Semiconductor's (TSM) 3-nanometer process for next-generation HBM base dies also drew attention to the sector, signaling continued investment in advanced AI memory. Meanwhile, lower oil prices and firmer U.S. equity futures provided a broader risk-on backdrop.
The advance came on comparatively light trading volume, suggesting the move was driven more by a relief rally and short-term positioning than by aggressive new institutional buying. The stock traded as high as $144.47 before settling near $143.77 in midday action. Despite the bounce, SKHY remains well below its 50-day moving average and its recent highs, underscoring how far the name had fallen during the prior week's AI-led rout.
Notably, the U.S. gains came even as SK hynix's Seoul-listed shares closed only modestly higher, after opening lower and briefly touching a sharp intraday low before recovering. The divergence highlights the influence of U.S. futures and options positioning on the Nasdaq-listed ADRs.
Investor attention now turns to SK hynix's third-quarter earnings, expected to be reported around October 27 or 28 after the U.S. market close. The results will offer a clearer read on memory pricing, HBM demand, and AI-driven revenue trends. Analysts remain broadly bullish, with a consensus "Buy" rating and average price targets well above current levels, though sentiment remains sensitive to any sign of slowing data-center spending.
Risks persist. Competition from Chinese memory maker ChangXin Memory Technologies (CXMT), which has reported progress on denser DRAM designs and projected substantial profit growth, remains a key overhang. Regulatory scrutiny in South Korea over a potential U.S. listing of SK hynix's Solidigm subsidiary has also added uncertainty. A single day of gains does not settle these questions, and traders will watch whether the rebound can hold into earnings.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
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