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Apr 20, 2026

Defiance Quantum ETF (QTUM): +18% Surge in 30 Days on AI and Quantum Momentum

Key Takeaways

  • Defiance Quantum ETF (QTUM) surged +18% over the past 30 days, driven by strong performance in AI-related semiconductors and quantum computing enthusiasm.
  • Over the past quarter, QTUM gained +10%, reflecting sustained interest in machine learning and quantum technologies amid broader tech sector strength.
  • Top holdings like Teradyne (TER) and Micron Technology (MU) contributed significantly, boosted by AI chip demand.
  • Massive fund inflows pushed assets under management (AUM) past $3.9 billion, signaling robust investor confidence.
  • Technology sector allocation at nearly 79% amplified gains from AI and quantum trends.

Understanding Defiance Quantum ETF (QTUM) and Its Portfolio

The Defiance Quantum ETF (QTUM) tracks the BlueStar Machine Learning and Quantum Computing Index (BQTUM), focusing on companies involved in quantum computing hardware, machine learning algorithms, and related technologies like AI chips and big data management. It holds approximately 70 stocks globally, providing diversified exposure to this thematic space.

Top holdings include Teradyne (TER) at around 2%, Coherent Corp. (COHR) at 2%, and Micron Technology (MU) at 1.9%. Sector allocation is heavily tilted toward technology (79%), with industrials (12%) and communication services (7%) following. In my view, this concentration in semiconductors and tech innovators explains QTUM's sensitivity to AI advancements and quantum breakthroughs, which has fueled the recent upside.

QTUM's Recent Price Action: 30 Days and Quarterly View

Over the last 30 days, QTUM rose +18%, climbing from $108 to $128 in a steady upward trend after a mid-period dip, showcasing resilience amid market volatility.

In the past quarter, the ETF advanced +10%, moving from $116 to $128 with moderate fluctuations, outperforming broader indices on thematic momentum. From what I see, the movement was trend-driven, supported by sector tailwinds rather than sharp spikes. I also checked this using Tickeron’s AI Screener to compare QTUM against similar ETFs.

Key Drivers Behind QTUM's 30-Day Rally

QTUM's 30-day rally was propelled by surging demand for AI and quantum computing technologies. Key holdings in semiconductors, such as Micron Technology (MU) and Lam Research (LRCX), benefited from AI chip shortages and data center expansions, contributing outsized gains due to their weight in the portfolio.

The technology sector's strength, comprising 79% of assets, amplified returns as investor sentiment shifted toward high-growth themes. Robust fund inflows, with AUM nearing $3.9 billion, reflected growing allocations to quantum and machine learning plays. This is important because macro factors like persistent AI hype and positive economic data on tech spending further supported the uptrend, with QTUM capturing broader market enthusiasm for innovation.

Factors Fueling QTUM's Quarterly Performance

Quarterly gains stemmed from sustained AI infrastructure buildout and quantum research milestones. Holdings like Intel (INTC) and Teradyne (TER) advanced on earnings beats tied to machine learning hardware.

Longer-term trends in semiconductors and industrials (e.g., Lockheed Martin at 1.7%) provided stability, while institutional inflows drove AUM growth amid favorable macro conditions like moderating interest rates and tech earnings resilience. Cumulative impacts from sector rotation into growth themes outweighed temporary dips, positioning QTUM for relative outperformance. One thing that stands out is how these trends align with what I'm seeing in AI-related signals from tools like Tickeron’s AI Trend Prediction Engine.

Why I Use Tickeron’s AI Screener

In my own research and trading, I rely on Tickeron’s AI Screener as an AI-powered stock and ETF discovery tool that helps filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. It lets me scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. I’ve found it particularly useful for ETF analysis like QTUM’s and uncovering hidden gems in sectors like quantum computing.

QTUM Outlook: Key Factors to Monitor Ahead

Investors should monitor semiconductor supply chains and AI adoption rates, as they heavily influence top holdings like MU and TER. Track quantum computing prototypes and partnerships in the portfolio's thematic focus. Broader macro environment, including interest rates and inflation data, could impact tech valuations. Industry trends in machine learning software and hardware advancements remain key. Risks include sector concentration and geopolitical tensions affecting global chipmakers; catalysts may arise from regulatory support for emerging tech. I’m watching this closely for any shifts in these dynamics.

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. Disclaimers and Limitations

Related Ticker: QTUM

Aroon Indicator for QTUM shows an upward move is likely

QTUM's Aroon Indicator triggered a bullish signal on May 07, 2026. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 351 similar instances where the Aroon Indicator showed a similar pattern. In of the 351 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on April 06, 2026. You may want to consider a long position or call options on QTUM as a result. In of 77 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for QTUM just turned positive on April 02, 2026. Looking at past instances where QTUM's MACD turned positive, the stock continued to rise in of 45 cases over the following month. The odds of a continued upward trend are .

QTUM moved above its 50-day moving average on April 08, 2026 date and that indicates a change from a downward trend to an upward trend.

The 10-day moving average for QTUM crossed bullishly above the 50-day moving average on April 14, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 16 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QTUM advanced for three days, in of 348 cases, the price rose further within the following month. The odds of a continued upward trend are .

Bearish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 5 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 22 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where QTUM declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

QTUM broke above its upper Bollinger Band on May 05, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Alphabet (NASDAQ:GOOGL), Microsoft Corp (NASDAQ:MSFT), Taiwan Semiconductor Manufacturing Company Ltd (NYSE:TSM), Micron Technology (NASDAQ:MU), Advanced Micro Devices (NASDAQ:AMD), Oracle Corp (NYSE:ORCL), Intel Corp (NASDAQ:INTC), Lam Research Corp (NASDAQ:LRCX), Alibaba Group Holding Limited (NYSE:BABA).

Industry description

The investment seeks to track the total return performance, before fees and expenses, of the BlueStar Quantum Computing and Machine Learning Index (the "index"). The fund uses a “passive management” (or indexing) approach to track the total return performance, before fees and expenses, of the index. The index consists of a modified equal-weighted portfolio of the stock of companies that derive at least 50% of their annual revenue or operating activity from the development of quantum computing and machine learning technology.

Market Cap

The average market capitalization across the Defiance Quantum ETF ETF is 397.27B. The market cap for tickers in the group ranges from 428.52M to 5.14T. NVDA holds the highest valuation in this group at 5.14T. The lowest valued company is NVEC at 428.52M.

High and low price notable news

The average weekly price growth across all stocks in the Defiance Quantum ETF ETF was 5%. For the same ETF, the average monthly price growth was 28%, and the average quarterly price growth was 29%. MU experienced the highest price growth at 25%, while ONTO experienced the biggest fall at -7%.

Volume

The average weekly volume growth across all stocks in the Defiance Quantum ETF ETF was -11%. For the same stocks of the ETF, the average monthly volume growth was 44% and the average quarterly volume growth was 2%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 64
P/E Growth Rating: 42
Price Growth Rating: 35
SMR Rating: 57
Profit Risk Rating: 51
Seasonality Score: 39 (-100 ... +100)
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