Nasdaq100 ETF vs SK Hynix — how do they compare? Nasdaq100 ETF trades at $751.27 (market cap $506.92B), while SK Hynix trades at $169.03 (market cap $891.31B). The key difference: SK Hynix is the larger of the two by market cap, and SK Hynix pays a 0.06% dividend while Nasdaq100 ETF pays none. Which is the better fit depends on your goals — on Pluang, investors hold Nasdaq100 ETF for 162 Days and SK Hynix for 10 Days on average.
| QQQ | SKHY | |
|---|---|---|
Market Cap | $506.92B | $891.31B |
Volume | 48,326,518 | 22,268,296 |
52-Week High | $759.66 | $198.63 |
52-Week Low | $558.34 | $126.79 |
Typical Hold Time | 162 Days | 10 Days |
Sector | — | Technology |
Enterprise Value | — | $841.45B |
Dividend Yield | — | 0.06% |
Signals from Pluang's Aura AI — not financial advice
QQQ trades at $747.64, down 1.33% on the day, with technical indicators showing a bullish trend supported by moving averages while oscillators remain neutral. The ETF maintains strong institutional interest despite mixed analyst sentiment. Recent news highlights QQQ's concentration in technology stocks and ongoing comparisons with lower-cost alternatives like VOO and QQQM.
The outlook remains positive given QQQ's exposure to leading tech innovators and AI-driven growth potential, though elevated valuations and interest rate sensitivity present near-term risks. Long-term growth prospects appear solid, but investors should monitor concentration risk and fee differentials among competing ETFs.
No Aura AI signal available yet.
Trailing returns across standard periods
What Pluang investors did over the last 30 days
Latest headlines on both assets
The ETF is designed to track the performance of the securities and the stocks in the NASDAQ-100 Index. To maintain the composition and weightings, the advisor adjusts the ETF from time to time to conform to periodic changes in the index target.
Read more on QQQ →SK hynix is a South Korean semiconductor company that manufactures memory products, including DRAM and NAND flash. Its high-bandwidth memory (HBM) products are designed for high-performance computing and AI applications.
Read more on SKHY →