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.
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.
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.
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.
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.
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.
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The Moving Average Convergence Divergence (MACD) for QTUM turned positive on September 21, 2026. Looking at past instances where QTUM's MACD turned positive, the stock continued to rise in 42 of 46 cases over the following month. The odds of a continued upward trend are 90%.
The Momentum Indicator moved above the 0 level on September 17, 2026. You may want to consider a long position or call options on QTUM as a result. In 64 of 75 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 85%.
QTUM moved above its 50-day moving average on September 18, 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 September 23, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 15 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 90%.
Following a +2.05% 3-day Advance, the price is estimated to grow further. Considering data from situations where QTUM advanced for three days, in 304 of 345 cases, the price rose further within the following month. The odds of a continued upward trend are 88%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 10 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 50 of 62 cases within the following month. The odds of a continued downward trend are 79%.
QTUM broke above its upper Bollinger Band on September 21, 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.
The Aroon Indicator for QTUM entered a downward trend on September 22, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology