Amplify Top 10 Semiconductors ETF (CPU) Falls -40% Since Early October Launch

Key Takeaways

• CPU has fallen roughly 40% over the past 30 days, sliding from about $24.87 at its early-October launch to around $14.50 in early November.
• Because the fund only began trading in early October 2026, its 30-day performance and its since-inception performance are nearly identical.
• The drawdown reflects a broad semiconductor and AI-hardware selloff rather than a single-stock catalyst.
• Memory and AI-connectivity holdings — including SanDisk, Micron, Kioxia, Astera Labs, and Marvell — were among the sector's weakest performers.
• Rising Treasury yields, sticky inflation, and growing doubts about AI-infrastructure financing drove the valuation reset.

Amplify Top 10 Semiconductors ETF (CPU) and Its Concentrated Portfolio

The Amplify Top 10 Semiconductors ETF (CPU) is an actively managed, semi-transparent exchange-traded fund that seeks capital appreciation through a concentrated portfolio of leading companies across the semiconductor value chain. Rather than replicating an index, the fund draws its selection universe from the Bloomberg Top 10 Momentum Semiconductors Index while retaining discretion over the final portfolio, which spans chip design, memory and storage, connectivity, equipment, materials, and foundry services.

The fund holds roughly ten core semiconductor positions alongside cash-equivalent instruments, and it uses total return swaps for a portion of its exposure. Largest holdings have included Marvell Technology (MRVL), SanDisk (SNDK), Kioxia Holdings, Astera Labs (ALAB), Micron Technology (MU), and Advanced Micro Devices (AMD), with additional exposure to Taiwan-based names including United Microelectronics, MediaTek, Kinsus Interconnect, and GlobalWafers. The portfolio is effectively 100% technology/semiconductor by sector. CPU is non-diversified, carries a 0.49% expense ratio, and manages a small asset base of roughly $1.2 million in AUM. I also checked this using Tickeron’s AI Screener to see how the ETF compares to others in the industry.

This structure matters: a concentrated, momentum-oriented book of high-beta memory and AI-connectivity names amplifies both gains and losses. When the broader chip complex sold off, CPU's narrow positioning and limited liquidity magnified the downside.

CPU Price Performance Over the Last 30 Days

Over the last 30 days, CPU declined approximately 40%, falling from an opening-period price near $24.87 to roughly $14.50. The move was trend-driven but punctuated by sharp single-session drops, consistent with a market-wide de-rating of semiconductor and AI-infrastructure equities.

The quarterly comparison is constrained by the fund's youth. CPU launched in early October 2026, so its "last quarter" effectively equals its life-to-date history, producing a decline of roughly the same 40% magnitude. There is no prior three-month period of trading data against which to benchmark, and investors should treat this drawdown as a since-inception figure rather than a mature trend.

Factors Behind the Recent CPU Decline

The primary driver was a broad semiconductor and AI-hardware selloff that accelerated in late October. Intel's (INTC) weaker-than-expected fourth-quarter outlook acted as a trigger, sending chip stocks sharply lower and dragging the PHLX Semiconductor Index through one of its longest losing streaks in years. Nvidia (NVDA), AMD, Marvell, Arm, Micron, and SanDisk all retreated as investors reassessed AI growth assumptions.

Macroeconomic forces compounded the pressure. Treasury yields above 5%, persistent inflation, and futures pricing that pointed toward a potential Federal Reserve rate hike raised the discount rate applied to richly valued growth companies. Simultaneously, reports of negative free cash flow at major cloud operators intensified scrutiny of whether AI capital spending is sustainable, weighing on connectivity names such as Astera Labs and memory leaders like Micron, SanDisk, and Kioxia.

The selloff extended into early November after midterm election results raised the prospect of tighter technology regulation and possible state-level restrictions on new data-center construction. For a concentrated fund holding exactly these hardest-hit memory and AI-infrastructure stocks, the cumulative drawdown was severe, and thin trading volume contributed to wide intraday swings.

Performance Context Over the Fund’s Short History

Because CPU launched only weeks ago, its quarterly performance is inseparable from its 30-day performance. The broader three-month backdrop was nonetheless dominated by a rotation out of high-beta technology and semiconductor names. Investor sentiment shifted from AI-driven momentum toward concerns about financing costs, valuation levels, and the durability of hyperscaler spending.

The fund's core holdings — memory suppliers and AI-connectivity specialists — sat at the center of this rotation. Institutional positioning moved toward defensive and equal-weighted strategies, while leveraged and concentrated semiconductor exposures bore the brunt of the derating. For CPU, the result was a reset in valuations that tracked the sector's broader retreat without a company-specific driver unique to the fund.

CPU ETF Outlook and Key Areas to Monitor

Several factors are likely to shape CPU in the coming months. Interest-rate expectations and inflation data remain central: further upward pressure on yields would keep valuation multiples on growth-oriented semiconductors under pressure, while any easing could support a rebound. The earnings trajectory of major holdings such as Marvell, Micron, SanDisk, Astera Labs, and AMD will be critical, particularly guidance around memory pricing and AI-connectivity demand.

Investors should also monitor AI capital-expenditure commentary from large cloud providers, policy and regulatory developments following the U.S. elections, and potential restrictions on new data-center projects. As a small, newly launched, and non-diversified fund, CPU carries additional risks tied to limited liquidity and wide bid-ask spreads. These structural characteristics may amplify volatility regardless of the underlying fundamental direction of the semiconductor industry.

Using Tickeron’s AI Screener for Semiconductor Research

In my own review of sector movements like the one affecting CPU, Tickeron’s AI Screener has proven useful for quickly scanning technical indicators, fundamentals, and performance metrics across thousands of securities. It helps surface comparable names and shifting leadership in the semiconductor space without manual effort, allowing me to cross-check holdings and broader trends in a structured way before drawing conclusions.

Disclaimer

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