SPDR Gold Trust vs SK Hynix — how do they compare? SPDR Gold Trust trades at $384.58 (market cap $139.66B), while SK Hynix trades at $169.03 (market cap $891.31B). The key difference: SK Hynix is far larger — about 6.4× SPDR Gold Trust's market cap, and SK Hynix pays a 0.06% dividend while SPDR Gold Trust pays none. Which is the better fit depends on your goals — on Pluang, investors hold SPDR Gold Trust for 74 Days and SK Hynix for 10 Days on average.
| GLD | SKHY | |
|---|---|---|
Market Cap | $139.66B | $891.31B |
Volume | 9,544,773 | 22,268,296 |
52-Week High | $495.90 | $198.63 |
52-Week Low | $362.32 | $126.79 |
Typical Hold Time | 74 Days | 10 Days |
Sector | — | Technology |
Enterprise Value | — | $841.45B |
Dividend Yield | — | 0.06% |
Signals from Pluang's Aura AI — not financial advice
GLD trades at $378.67, up 0.74% with bearish technical signals dominating as 17 indicators signal sell versus 2 buy signals. The stock faces resistance at $380-$384 while finding support at $377-$373. Recent news highlights pressure from rising Treasury yields and dollar strength overwhelming safe-haven demand, with gold failing to sustain gains despite weak employment data.
The outlook remains cautious with technical indicators signaling bearish momentum and fundamental data unavailable. Key risks include persistent rate hike expectations and dollar strength, though some analysts see tactical buying opportunities. Investors should monitor Fed policy decisions and inflation trends for directional catalysts.
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
GLD is the largest physically backed gold ETF in the world. It offers investors a cost-efficient and secure way to track the price of gold bullion without the need for physical storage.
Read more on GLD →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 →