Billion-dollar bonanza: Roundhill's memory ETF hits $1B in assets within 10 trading days

Billion-dollar bonanza: Roundhill's memory ETF hits $1B in assets within 10 trading days
The DRAM ETF launched with no seed investors and little fanfare, but a supply crunch in AI memory chips has investors pouring money in at a record clip.
APR 23, 2026

A new exchange-traded fund focused on memory semiconductors has gathered more than $1 billion in assets in just 10 trading days – an unusually heated pace that has caught the attention of ETF watchers and raised questions about investor appetite for highly concentrated thematic plays.

The Roundhill Memory ETF, which trades under the ticker DRAM, launched April 2 with no major seed investors and little advance publicity. It has since proven to be a dark horse of sorts, emerging as the fastest ETF to gather assets so far in 2026. That's in contrast to similar concentrated-theme funds tracking the Magnificent Seven technology companies, which took years to cross the $1 billion mark.

Since launch, DRAM has averaged $213 million in daily trading volume and more than 11,000 options contracts traded per day. The fund is actively managed and charges 65 basis points to invest in global memory companies. Its proprietary selection process targets market-leading firms with significant share in memory-related revenue, spanning high-bandwidth memory, NAND flash, solid-state drives, and hard disk drives. The fund can also use swaps and forwards to express its positions.

More than three-quarters of the fund's holdings are concentrated in just three stocks: Samsung Electronics and SK Hynix, both headquartered in South Korea, and Idaho-based Micron Technology. That concentration is part of the fund's draw – neither Samsung nor SK Hynix trades on US exchanges, creating meaningful access barriers for many American investors and advisors.

Dave Mazza, chief executive of Roundhill Investments, said in a statement that the memory sector sits at "the critical intersection of AI demand and constrained supply, yet for most U.S. investors it has remained out of reach." He added that DRAM "was built specifically to address that disconnect."

The fund's rapid rise surprised even Roundhill's own team. Speaking to the Wall Street Journal, Mazza acknowledged the fund had entered what he called "rarefied air within 10 days" – an outcome, he said, the firm had not projected.

VettaFi head of research Todd Rosenbluth called DRAM "one of the most successful ETF launches in history."

"This is an infrequent occurrence; typically, we only see this milestone reached so quickly when there is a large institutional investor on day one or significant pent-up demand, such as with spot bitcoin ETFs like IBIT," he said.

Bloomberg Intelligence ETF analyst Eric Balchunas, a well-established authority on the ETF space  described the fund's ascent as "beyond shocking" in a post on X.

The backdrop driving investor interest is a structural supply squeeze in the memory market. A March analysis by Global X ETFs notes that after memory prices surged 246% year-over-year in 2025 – driven by a multitrillion-dollar gold rush into AI – suppliers are now effectively sold out through 2026.

Industry projections suggest manufacturers will meet only 60% of demand by the end of 2027 – a gap that has pushed major players like SK Hynix and Samsung to add fabrication capacity. Total memory semiconductor revenues are projected to exceed $440 billion in 2026, a 30% year-over-year increase.

Individual memory stocks have reflected that momentum. Sandisk is the S&P 500's top performer this year, up nearly 300%. Samsung shares have climbed 83% in South Korea over the same period.

Still, concentrated thematic ETFs carry a mixed record. Many have launched near the peak of a market trend, only to stagnate or shrink as the theme fades. Analysts have flagged signs of froth in memory stocks following their parabolic gains, and the fund's tight focus on just a few names amplifies both potential upside and downside risk for advisors considering it as a portfolio building block.

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