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May 08, 2026
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Why Defiance Quantum ETF (QTUM) Delivered +strong performance in the Past 30 Days

Why Defiance Quantum ETF (QTUM) Delivered +strong performance in the Past 30 Days

Key Takeaways

  • QTUM surged +22% over the past 30 days, driven by explosive gains in semiconductor holdings like INTC (+86%) and MU (+25%), fueled by AI and quantum computing hype.
  • Over the past quarter, the ETF climbed +20%, reflecting broader sector strength amid government funding for quantum research and breakthroughs from major tech firms.
  • Strong fund inflows pushed AUM past $4 billion, signaling robust investor interest in quantum and machine learning themes.
  • Top holdings in technology (82%) and industrials (10%) benefited from AI demand and semiconductor recovery.
  • Quantum milestones, including Google's Willow chip and U.S. Department of Energy grants, boosted market sentiment.

Understanding Defiance Quantum ETF (QTUM) and Its Portfolio

The Defiance Quantum ETF (QTUM) tracks the BlueStar Quantum Computing and Machine Learning Index, which targets global companies generating significant revenue from quantum computing, machine learning, and supporting technologies like superconducting materials, AI chips, and big data software. With around 86 holdings, QTUM uses a modified equal-weighted strategy to ensure broad diversification.

Among the top holdings are INTC (Intel Corp., ~2.6%), MU (Micron Technology, ~2.4%), Global Unichip Corp., STM (STMicroelectronics, ~2.1%), and NOK (Nokia Oyj, ~1.9%). The sector breakdown leans heavily into technology at 82%, followed by industrials at 10% and communication services at 6%.

From what I see, this mix positions QTUM to capture both mature semiconductor firms advancing quantum tech and innovative challengers, which aligns closely with the recent semiconductor rally and growing quantum enthusiasm.

QTUM's Price Action: 30-Day and Quarterly Performance

In the last 30 days, QTUM moved from about $116 to $141, marking a +22% increase. The uptrend built steadily, picking up speed in late April and early May alongside sector strength, though we've seen some volatility near recent peaks.

Looking at the quarter, the ETF rose from roughly $118 to $141 for a +strong performance. It started range-bound amid broader market swings but transitioned into a clear bullish phase, backed by steady inflows and favorable developments.

Key Drivers Behind QTUM's +22% 30-Day Surge

One thing that stands out is how QTUM's +strong performance over the past month was propelled by standout results in its semiconductor-focused holdings. INTC jumped +86% thanks to AI chip progress and quantum investments, while MU rose +25% on surging memory needs for AI training. Contributions from AMD (+76%) and MRVL (+94%) added momentum, given their roles in quantum hardware.

The wider semiconductor sector benefited from AI infrastructure growth, with year-over-year sales climbing sharply. Quantum-specific news added fuel: Google's Willow chip advancement and the U.S. Department of Energy's $625 million funding announcement in April lifted sentiment. I also checked this using Tickeron’s AI Screener to compare QTUM against similar ETFs. Meanwhile, assets under management surpassed $4 billion, underscoring a shift toward thematic tech investments.

Factors Fueling QTUM's +20% Quarterly Performance

QTUM's +20% quarterly advance rested on ongoing semiconductor strength and tailwinds from quantum commercialization. Holdings such as Intel and Micron saw their values double at times, driven by AI data center growth and memory shortages.

On the macro side, receding inflation worries supported growth stocks, complemented by quantum catalysts like Quantinuum's IPO speculation and over $1 billion in government funding. Institutional money poured in, earning QTUM a 5-star Morningstar rating for risk-adjusted performance. Technology sector cycles aligned well, as machine learning uses overlapped with quantum R&D from players like IBM and NVIDIA.

Spotting Opportunities with Tickeron’s AI Screener

In my research, I rely on Tickeron’s AI Screener as a powerful tool for discovering stocks and ETFs. It lets me filter thousands of assets using technical patterns, fundamentals, trends, volatility, and AI signals—customizing by industry, market cap, indicators, price patterns, or performance metrics. This streamlines finding trade ideas, breakouts, or hidden opportunities in areas like quantum computing far better than manual methods. I’m watching this closely for my ETF scans, and it’s helped sharpen my analysis on themes like QTUM’s.

Looking Ahead: What to Monitor for QTUM

Going forward, I think investors should keep an eye on semiconductor supply chains for bottlenecks in AI and quantum hardware, along with updates on top holdings like INTC and MU. Broader macro changes in rates and inflation could sway tech-focused ETFs. In the quantum space, watch for IPOs such as Quantinuum and additional DOE support as potential sparks. On the risk side, elevated semiconductor valuations and geopolitical issues in chip supply stand out. Overall AI adoption trends will shape QTUM’s path.

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

Contributor

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.


QTUM in downward trend: price dove below 50-day moving average on October 12, 2026

QTUM moved below its 50-day moving average on October 12, 2026 date and that indicates a change from an upward trend to a downward trend. In 28 of 32 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 88%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on QTUM as a result. In 63 of 77 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.

The Moving Average Convergence Divergence Histogram (MACD) for QTUM turned negative on October 12, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 46 similar instances when the indicator turned negative. In 35 of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at 76%.

The 10-day moving average for QTUM crossed bearishly below the 50-day moving average on October 16, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 12 of 15 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 80%.

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 80%.

The Aroon Indicator for QTUM entered a downward trend on November 10, 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.

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where QTUM's RSI Indicator exited the oversold zone, 21 of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 42 of 46 cases where QTUM's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.

Following a +9.57% 3-day Advance, the price is estimated to grow further. Considering data from situations where QTUM advanced for three days, in 301 of 342 cases, the price rose further within the following month. The odds of a continued upward trend are 88%.

QTUM may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Microsoft Corp (NASDAQ:MSFT), Alphabet (NASDAQ:GOOGL), Amazon.com (NASDAQ:AMZN), Taiwan Semiconductor Manufacturing Company Ltd (NYSE:TSM), Broadcom Inc. (NASDAQ:AVGO), Micron Technology (NASDAQ:MU), Advanced Micro Devices (NASDAQ:AMD), Cisco Systems (NASDAQ:CSCO), Oracle Corp (NYSE:ORCL).

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 whose business activities, products, and/or services relate to the development of quantum computing and machine learning technology.

Market Cap

The average market capitalization across the Defiance Quantum ETF (QTUM) ETF is 376.95B. The market cap for tickers in the group ranges from 277.74M to 4.51T. NVDA holds the highest valuation in this group at 4.51T. The lowest valued company is ARQQ at 277.74M.

High and low price notable news

The average weekly price growth across all stocks in the Defiance Quantum ETF (QTUM) ETF was 26%. For the same ETF, the average monthly price growth was 28%, and the average quarterly price growth was 91%. QNT experienced the highest price growth at 32%, while MCHP experienced the biggest fall at -23%.

Volume

The average weekly volume growth across all stocks in the Defiance Quantum ETF (QTUM) ETF was 11%. For the same stocks of the ETF, the average monthly volume growth was 58% and the average quarterly volume growth was -40%

Fundamental Analysis Ratings

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

Valuation Rating: 66
P/E Growth Rating: 64
Price Growth Rating: 56
SMR Rating: 56
Profit Risk Rating: 65
Seasonality Score: 21 (-100 ... +100)
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