GraniteShares 2x Long AMD Daily ETF (AMDL) Delivers +67% Gain in 30 Days as AMD Crosses $1 Trillion

Key Takeaways

• AMDL gained approximately 67% over the last 30 days, climbing from about $49.55 to $82.63, as its 2x leverage amplified a sharp rally in AMD.
• The underlying stock AMD rose roughly 32% over the same window and crossed a $1 trillion market capitalization for the first time.
• The move was driven by accelerating AI data-center demand, highlighted by AMD's data-center revenue growing 107% year over year to $6.7 billion in its latest quarter.
• The trailing three months have been extremely volatile: a deep mid-summer drawdown was followed by a concentrated September recovery that produced all of the quarter's net gains.
• As a leveraged, daily-reset fund, AMDL is designed for short-term trading and does not track 2x of AMD's multi-day returns.

GraniteShares 2x Long AMD Daily ETF (AMDL) at a Glance

The GraniteShares 2x Long AMD Daily ETF (AMDL) is a leveraged single-stock ETF that seeks daily investment results, before fees and expenses, equal to 200% (2x) of the daily percentage change in the common stock of Advanced Micro Devices (AMD). Launched in March 2024, the fund is actively managed and non-diversified, and it obtains exposure primarily through total return swaps and options on AMD, with U.S. Treasury bills and cash held as collateral.

The fund carries a net annual operating expense ratio of 1.07% and holds roughly 20 portfolio positions, though its economic exposure is concentrated in a small number of AMD-linked swap agreements. Because its underlying asset is a single semiconductor company, the fund's effective sector exposure is essentially 100% technology, with assets under management (AUM) in the range of roughly $900 million to $1 billion. I checked this using Tickeron’s AI Screener to see how the fund stacks up against other leveraged products in the space. Critically, AMDL resets its leverage daily, meaning multi-day returns can diverge materially from 2x of AMD's cumulative move due to the effects of compounding and volatility.

Recent Price Performance of AMDL

Over the last 30 days, AMDL advanced approximately 67%, rising from a closing price near $49.55 to $82.63. The underlying AMD gained about 32% over the same period, and AMDL's leveraged structure roughly doubled that move on a daily-reset basis.

The trailing quarter tells a more complex story. Measured over roughly three months, the fund moved from a late-June level near $75.72 to $82.63, a modest single-digit-percentage gain. However, that headline figure masks a violent round-trip: AMDL fell as much as roughly 44% from late June to an intraday trough near $42.43 in late July, before a powerful September rebound erased the losses. The recent price action has therefore been trend-driven and concentrated in a few weeks, rather than gradual.

Drivers Behind the 30-Day Surge

The 30-day surge reflects a sharp re-rating of AMD itself, which crossed a $1 trillion market capitalization for the first time in late September. The catalyst was renewed evidence of durable AI data-center demand. In its latest reported quarter, AMD delivered total revenue of $11.54 billion, up 50% year over year, while its data-center segment generated $6.7 billion, up 107%, now accounting for more than half of total revenue.

Several specific developments amplified investor enthusiasm. AMD disclosed a multi-year arrangement with OpenAI covering up to six gigawatts of Instinct MI450 compute capacity, and ORCL placed an order for 50,000 next-generation MI450 accelerators. Analysts cited continued demand for the company's CPUs and GPUs, while cloud provider Nebius announced a 25% price increase for EPYC Genoa compute capacity. The broader semiconductor complex rallied in sympathy, reinforcing the upward move that AMDL then magnified through leverage.

Quarterly Path and Volatility Factors

The quarterly path reflects two opposing forces. In late July and August, AMD shares sold off even after an earnings beat, as forward guidance fell short of some investors' elevated expectations, dragging AMDL sharply lower. The fund then traded in a broad range through much of August before sentiment reversed decisively in September.

The recovery was driven by a return to the AI-infrastructure investment theme that has defined semiconductor leadership. Hyperscaler commitments, the launch of agentic AI applications such as Meta's Muse AI agent, and management's stated goal of roughly doubling data-center revenue by 2027 restored confidence in the sector. For AMDL, this rotation back into AI and semiconductor equities translated into outsized gains because its 2x daily leverage compounds on upswings.

AMDL Outlook and Key Factors to Monitor

Several factors are likely to shape AMDL over the coming months. The most important is the trajectory of AI data-center capital expenditure and whether hyperscaler spending commitments translate into sustained AMD revenue growth. Execution on the Instinct MI450 ramp and the Helios rack-scale platform, alongside continued EPYC server-processor share gains, will be closely watched.

Investors should also monitor valuation and competition. After its rally, AMD trades at an elevated forward price-to-earnings multiple, and it remains a distant second to NVDA in AI accelerators. Macroeconomic conditions—interest-rate expectations, inflation trends, and overall technology-sector sentiment—will influence both the magnitude and the volatility of AMD's moves. Finally, because AMDL resets leverage daily, extended periods of choppy, range-bound trading can erode returns even when the underlying stock is flat, a structural consideration specific to leveraged ETFs. From what I see, this daily reset feature is worth keeping in mind when evaluating holding periods.

Using Tickeron’s AI Tools for Deeper Analysis

In my own research process, I often turn to Tickeron’s AI Screener to scan for leveraged ETFs and related semiconductor names. The platform lets me apply technical indicators, fundamentals, and AI-generated signals in one workflow, which helps surface momentum shifts or emerging setups more efficiently than manual review alone. It has become a regular part of how I compare opportunities like AMDL against broader sector trends. Explore the AI Screener to see how it might fit into your own research.

Disclaimer

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Contributor

Jimmy Landsman|Expert

My name is Jimmy, and I’m a financial analyst focused on identifying compelling opportunities across the ETF market. Each day, I analyze hundreds of ETFs to uncover potential trading and investment opportunities using a broad range of market factors. For short-term trading, I rely heavily on technical analysis, including price channels, momentum indicators, support and resistance levels, trend patterns, and other market signals. At the same time, I dedicate significant attention to evaluating ETFs from a long-term investment perspective. My objective is to build a well-balanced ETF portfolio that combines core investment holdings with more tactical and speculative positions. The goal is to create a portfolio that can participate effectively in market rallies while also remaining resilient during periods of volatility and market corrections.

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