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Upturn AI SWOT - About
Defiance Quantum ETF (QTUM)
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Upturn Advisory Summary
07/01/2025: QTUM (2-star) has a low Upturn Star Rating. Not recommended to BUY.
Upturn Star Rating
Below Average Performance
These Stocks/ETFs, based on Upturn Advisory, often underperform the market, warranting careful consideration before investing.
Analysis of Past Performance
Type ETF | Historic Profit 58.9% | Avg. Invested days 57 | Today’s Advisory Consider higher Upturn Star rating |
Upturn Star Rating | Upturn Advisory Performance  5.0 | ETF Returns Performance  5.0 |
| Profits based on simulation | Last Close 07/01/2025 |
Key Highlights
Volume (30-day avg) - | Beta 1.3 | 52 Weeks Range 52.57 - 91.74 | Updated Date 06/30/2025 |
52 Weeks Range 52.57 - 91.74 | Updated Date 06/30/2025 |
Upturn AI SWOT
Defiance Quantum ETF
ETF Overview
Overview
The Defiance Quantum ETF (QTUM) seeks to track the performance of the BlueStar Quantum Computing and Machine Learning Index. It provides exposure to companies involved in quantum computing, machine learning, and related technologies. The ETF focuses on global equities in these emerging sectors.
Reputation and Reliability
Defiance ETFs is a known issuer of thematic ETFs, but is a smaller player relative to other ETF issuers.
Management Expertise
Defiance ETFs has a team focused on identifying and launching innovative thematic ETFs.
Investment Objective
Goal
To track the performance of the BlueStar Quantum Computing and Machine Learning Index.
Investment Approach and Strategy
Strategy: The ETF employs a passive management strategy, tracking a specific index focused on quantum computing and machine learning.
Composition The ETF primarily holds stocks of companies involved in quantum computing, machine learning, and related technologies. The ETF is globally diverse.
Market Position
Market Share: QTUM has a small market share within the broader technology ETF landscape. It is one of the more prominent Quantum Computing ETFs.
Total Net Assets (AUM): 101060000
Competitors
Key Competitors
- L&G Quantum Computing ETF (QTUM.L)
- Global X Robotics & Artificial Intelligence ETF (BOTZ)
- ROBO Global Robotics & Automation Index ETF (ROBO)
Competitive Landscape
The competitive landscape consists of other robotics and AI focused ETFs and potentially overlapping quantum computing ETFs. QTUM's advantage lies in its pure-play focus on quantum computing and machine learning. Disadvantages are high expense ratio and smaller AUM.
Financial Performance
Historical Performance: Historical performance can be obtained from financial data providers. Past performance is not indicative of future results.
Benchmark Comparison: Benchmark comparison can be made against the BlueStar Quantum Computing and Machine Learning Index, but actual performance depends on tracking error.
Expense Ratio: 0.4
Liquidity
Average Trading Volume
QTUM's average trading volume is moderate, which can affect the ease of buying and selling shares.
Bid-Ask Spread
The bid-ask spread for QTUM varies depending on market conditions and volume.
Market Dynamics
Market Environment Factors
Economic indicators, technological advancements in quantum computing, and overall market sentiment toward innovation affect QTUM.
Growth Trajectory
Growth is tied to adoption rates of quantum computing technologies, advancements in machine learning, and the broader tech sector.
Moat and Competitive Advantages
Competitive Edge
QTUM's competitive edge comes from its specific focus on quantum computing and machine learning, offering investors targeted exposure. It tracks a specialized index that concentrates on these technologies, differentiating it from broader tech or robotics ETFs. This niche focus could lead to higher growth potential if quantum computing gains widespread adoption. A disadvantage might be its concentration in one industry which may increase the risk for the investments.
Risk Analysis
Volatility
QTUM is expected to exhibit higher volatility due to its focus on emerging technologies. Actual volatility should be analyzed by looking at historical data.
Market Risk
Market risk stems from broader market downturns and sector-specific risks related to quantum computing and machine learning. Valuation of the underlying companies in the fund and how this valuation affects the index itself should also be analyzed.
Investor Profile
Ideal Investor Profile
The ideal investor is one interested in emerging technologies, has a high-risk tolerance, and is looking for long-term growth potential.
Market Risk
QTUM is more suited for long-term investors comfortable with high risk and potential volatility.
Summary
The Defiance Quantum ETF (QTUM) provides targeted exposure to the quantum computing and machine learning sectors. It tracks the BlueStar Quantum Computing and Machine Learning Index, holding global equities related to these technologies. While the ETF offers a focused investment, it also carries risks associated with emerging technologies and market volatility. QTUM is suitable for long-term investors with a high-risk tolerance, seeking growth in innovative sectors.
Peer Comparison
Sources and Disclaimers
Data Sources:
- Defiance ETFs website
- ETF.com
- Bloomberg
- Morningstar
Disclaimers:
The data provided is for informational purposes only and should not be considered investment advice. Consult with a financial advisor before making investment decisions. Past performance is not indicative of future results.
AI Summarization is directionally correct and might not be accurate.
Summarized information shown could be a few years old and not current.
Fundamental Rating based on AI could be based on old data.
AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.
About Defiance Quantum ETF
Exchange NYSE ARCA | Headquaters - | ||
IPO Launch date - | CEO - | ||
Sector - | Industry - | Full time employees - | Website |
Full time employees - | Website | ||
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.
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