NRAM ETF Slides -23% in 30 Days as Memory Sector Weakness Persists

Key Takeaways

• NRAM fell roughly 23% over the trailing 30 days, with the latest price near $16 compared with about $20.67 one month earlier.
• The fund has declined approximately 33% since its early-September launch, extending weakness into the current quarter.
• NRAM is a passively managed exchange-traded fund (ETF) tracking the YA MarketVector Next Generation Memory Index, holding roughly two dozen memory and storage companies.
• Top holdings Micron, Sandisk, and SK hynix, alongside Samsung, dominate the portfolio and account for much of its volatility.
• A 100% technology allocation leaves the fund exposed to cyclical memory pricing, artificial intelligence (AI) capital-spending shifts, and semiconductor supply dynamics.
• For additional insight, explore Price Targets and Forecast pages covering this ticker.
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NRAM Overview and Portfolio Exposure

NRAM seeks to track, before fees and expenses, the YA MarketVector Next Generation Memory Index, a rules-based benchmark designed to measure companies whose principal business is tied to the design, development, manufacturing, and supply of physical memory technologies. The fund is passively managed and launched in September 2026, making it a relatively new entrant in the thematic semiconductor ETF space.

The portfolio holds roughly two dozen positions and is effectively 100% invested in technology. Its largest exposures are concentrated: Micron Technology (MU) near 16–17%, Sandisk (SNDK) around 13–14%, and SK hynix near 13–15%, followed by Samsung Electronics, Seagate Technology (STX), Silicon Motion Technology (SIMO), Western Digital (WDC), and Rambus (RMBS). The top ten holdings represent more than three-quarters of the fund. To gain exposure to certain foreign-listed issuers, the fund also uses swap agreements, a structural feature that can introduce counterparty and tracking considerations.

The fund charges a 0.60% expense ratio and manages roughly $1.4 million in assets under management (AUM), a very small base that can amplify trading and liquidity effects. This concentrated, high-beta structure helps explain why the fund's recent price behavior has been sharp and directional rather than gradual. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.

Recent Price Performance: Last 30 Days vs. Quarter

Over the trailing 30 days, NRAM declined approximately 23%, moving from a closing price near $20.67 to roughly $16. The decline was not smooth: the fund traded in a wide range and experienced a pronounced single-session drawdown in early November before partially stabilizing.

The quarterly picture is even steeper. Because the fund launched in September, the nearest three-month comparison covers its lifetime. From an early-September reference near $24–25, NRAM has fallen about 33%, indicating that weakness has been persistent rather than a one-off event. The pattern has been characterized by elevated volatility, with intermittent bounces followed by lower lows, consistent with a cyclical, concentrated thematic fund under selling pressure.

Factors Behind the Last 30 Days of Declines

The fund's decline largely reflects weakness across the memory and storage complex. Its largest holdings, Micron, Sandisk, and SK hynix, are highly sensitive to changes in DRAM and NAND pricing expectations, high-bandwidth memory (HBM) demand forecasts, and cloud-provider AI capital-expenditure sentiment. When investors reassess the pace of AI infrastructure spending or the sustainability of memory pricing, these names tend to reprice quickly and together, which translates directly into NRAM's net asset value (NAV).

Concentration compounded the move. With more than three-quarters of the portfolio in ten names and a single top holding near 17%, sector-wide de-risking had an outsized effect. The fund's small AUM and modest trading volumes can also widen price-to-NAV discrepancies during volatile stretches, adding to perceived instability. Broader macroeconomic factors, including interest-rate expectations and cyclical semiconductor sentiment, provided an additional headwind to growth-oriented technology exposure.

Drivers of Performance Over the Last Quarter

Over the past three months, the dominant theme has been a rotation within semiconductor exposure rather than a broad abandonment of the sector. Memory-chip makers outperformed sharply during the AI-driven HBM upcycle leading into the fund's launch, and NRAM debuted near the peak of that enthusiasm. As pricing and supply expectations normalized, memory names gave back gains faster than more diversified technology indexes.

The fund's structural features also mattered over the quarter. A new ETF with limited trading history, a small asset base, and heavy reliance on swaps for foreign holdings can face wider spreads and tracking variability. Institutional flows into thematic products are often momentum-driven, meaning the same dynamics that supported early demand reversed as memory-stock leadership faded. The result was a fund that captured the downside of a highly cyclical corner of the market with limited diversification to cushion it.

NRAM ETF Outlook: Key Variables to Monitor

Going forward, the most important variables for NRAM are memory pricing, AI capital expenditure, and the earnings trajectory of its top holdings. DRAM and NAND contract-price trends, HBM qualification and capacity announcements, and hyperscaler spending guidance will likely set the tone for Micron, Sandisk, SK hynix, and Samsung, and therefore for the fund itself.

Interest-rate expectations and inflation data remain relevant because they influence valuation multiples for growth and cyclical technology. Semiconductor supply-chain developments, export-control and trade-policy shifts, and the pace of data-center buildouts are additional catalysts. Finally, investors should monitor the fund's liquidity and premium or discount to NAV, which can remain volatile given its small AUM and swap-based structure. These factors, rather than any single session's move, are likely to define NRAM's behavior over the coming months.

Using Tickeron’s AI Screener for Thematic Research

When reviewing concentrated thematic funds like NRAM, I turn to Tickeron’s AI Screener to quickly scan related memory and semiconductor names for technical signals, volatility patterns, and performance comparisons. The platform lets me filter by industry, AI-generated signals, and price behavior in a way that highlights both correlated holdings and potential divergences. It has become a practical part of my process for understanding how individual components may influence the broader ETF. Explore the AI Screener to apply these tools to your own research.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

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