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As of September 15, 2026, Defiance Quantum ETF (QTUM) trades at $142.80. RSI at 42 is in neutral territory, and the price is below its 50-day average of $148.11.

Defiance Quantum ETF (QTUM)

Defiance Quantum ETF NASDAQ

$142.80 -4.610 (-3.13%)
At close: Sep 14, 4:00 PM EDT
AI Analyst Consensus
Buy
75 / 100

The Defiance Quantum ETF (QTUM) is currently trading at $142.80, showing a mixed short-term technical picture. While the fund remains above its 200-day Simple Moving Average (SMA) of $131.96, indicating a positive long-term trend, it is currently trading below its 50-day SMA of $148.11 and its 20-day Exponential Moving Average (EMA) of $147.70. This positioning suggests a potential short-term pullback or consolidation phase. The fund's strategy focuses on companies involved in quantum computing and machine learning, offering a specialized exposure to emerging technologies within the broader technology sector.

QTUM's sector allocation is heavily concentrated in Technology, representing 78.98% of its holdings. Industrials (10.1%) and Communication Services (6.85%) make up the next largest allocations. This concentration highlights the fund's focus on innovation-driven companies. Recent performance shows a strong 1-year return of 57.84% compared to its category's 54.99%, and a significant 5-year return of 24.90% versus the category's 9.93%, underscoring its long-term growth potential despite short-term fluctuations.

QTUM Price Analysis

Market Metrics

Open
$143.24
Day Range
$142.22 to $144.09
Prev Close
$147.41
Volume
296.3K
52-Week Range
$92.28 to $170.00

QTUM Fund Facts

Defiance Quantum ETF is a thematic exchange-traded fund that provides exposure to companies involved in quantum computing and machine learning. The fund follows the BlueStar Quantum Computing and Machine Learning Index, which selects liquid global companies engaged in products and services tied to quantum computers, quantum chips, embedded artificial intelligence, and data-driven software. Its portfolio is designed to reflect businesses across the technology landscape, including hardware, software, semiconductors, and related advanced materials.

Issuer
Defiance ETFs LLC
Category
Technology
Inception
Sep 4, 2018
Expense ratio
0.40%
Net assets
$5.56B
NAV
$148.23
Distribution yield
0.79%
YTD return
35.72%
Turnover
42.00%

Sector weights

Healthcare 1.6%
Technology 79.0%
Industrials 10.1%
Consumer Cyclical 2.5%
Communication Services 6.9%

Trailing returns vs category

Period QTUM Category
YTD 35.72% 13.51%
1 month 4.68% 19.10%
3 months -7.10% 10.83%
1 year 57.84% 54.99%
3 years 44.25% 27.86%
5 years 24.90% 9.93%
10 years N/A 19.36%

Fund reference data as of Sep 15, 2026. Expense ratio and net assets are reported by the fund; returns are total returns and can differ from price change.

QTUM Analysis

AI Technical Analysis Buy

QTUM is currently trading below its 50-day SMA ($148.11) and 20-day EMA ($147.70), indicating short-term weakness. However, the price is above its 200-day SMA ($131.96), suggesting the longer-term uptrend remains intact. The Relative Strength Index (RSI) is at 41.55, which is in neutral territory and does not indicate overbought or oversold conditions. The Stochastic Oscillator at 6.14 also suggests the ETF is not in oversold territory. The Moving Average Convergence Divergence (MACD) is at -1.17, indicating bearish momentum in the short term.

Volume has been slightly above its average, with the latest volume at 296,300 compared to an average of 248,000, representing a 19.5% increase. This suggests increased investor interest, though the price action is currently subdued. Key technical levels to watch include the 50-day SMA as resistance and the 200-day SMA as support.

ProTips
  • Monitor the 50-day SMA for a potential breakout as a sign of renewed short-term strength.
  • Consider the overall technology sector sentiment, as QTUM's performance is heavily influenced by this broader trend.
  • Stay informed about advancements in quantum computing and AI, as these are the primary drivers of QTUM's investment thesis.
  • Evaluate the expense ratio of 0.40% in the context of long-term investment goals and compare it with alternative technology ETFs.
Market Outlook

The outlook for the Defiance Quantum ETF (QTUM) is cautiously optimistic, driven by the long-term growth potential of quantum computing and machine learning. While the ETF is currently trading below its short-term moving averages, its position above the 200-day SMA suggests that the underlying uptrend remains intact. The fund's strong historical performance, particularly over the 3- and 5-year periods, supports a positive long-term thesis.

The key to QTUM's future performance will be the continued innovation and commercialization within the quantum technology and AI sectors. Any significant breakthroughs or increased adoption of quantum computing solutions could lead to substantial upside. Conversely, delays in technological development, increased regulatory scrutiny, or a rotation out of growth-oriented technology stocks could present headwinds. The ETF's concentrated nature means that performance will be highly sensitive to the success of its underlying holdings.

Market Correlations

How this etf moves relative to other assets

Based on 1 year of daily price data. Correlations may vary over different time periods.

S&P 500 (SPY) +0.78
Strong correlation
Nasdaq 100 (QQQ) +0.86
Strong correlation
Bitcoin (BTC) +0.32
Weak correlation
Gold (XAU) +0.24
Weak correlation
Check Custom Correlation

How does any other asset move with QTUM? One year of daily closes, Pearson correlation.

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Key Statistics

Yield 0.83%
Day High $144.09
Day Low $142.22
52 Week High 170.00
52 Week Low 92.28

The Defiance Quantum ETF (QTUM) provides concentrated exposure to the rapidly evolving quantum computing and machine learning sectors, primarily within the Technology industry. Its strategy, guided by the BlueStar Quantum Computing and Machine Learning Index, aims to capture growth from companies at the forefront of these advanced computing technologies. The fund's net assets stand at $5.56 billion, with an expense ratio of 0.40%, costing $40.00 per $10,000 invested. This expense ratio is competitive for a specialized thematic ETF.

The sector allocation is heavily weighted towards Technology (78.98%), with smaller allocations to Industrials and Communication Services. This concentration means the fund's performance is closely tied to the health and innovation within the technology sector.

Earnings & Growth Analysis

However, its performance is intrinsically linked to the earnings trends of the companies it holds, which are focused on quantum computing and machine learning. These companies are typically in high-growth phases, often reinvesting heavily in R&D, which can impact near-term profitability but signals long-term potential. The overall sector earnings trend for technology, particularly in advanced computing and AI, is expected to be positive, driven by increasing demand for processing power and data analytics capabilities.

The aggregate performance of QTUM's top holdings, which are involved in cutting-edge technology, will dictate the fund's earnings-related performance. Investors should monitor the financial reports of key companies within the quantum computing and AI landscape to gauge the underlying health and growth trajectory that supports QTUM's investment thesis.

Key Risks

The primary risk for the Defiance Quantum ETF (QTUM) is its high concentration in the Technology sector, specifically within the nascent fields of quantum computing and machine learning. This focus exposes the fund to significant volatility and the risk of underperformance if these emerging technologies do not develop as anticipated or face regulatory hurdles. Additionally, as a thematic ETF, QTUM is subject to sector-specific downturns and the risk that its chosen index may not accurately capture the most promising companies in the quantum space.

Another key risk is the potential for rapid technological obsolescence. The quantum computing and AI fields are evolving at an unprecedented pace, meaning that companies currently leading the pack could be surpassed by new innovations or competitors. Investors should also consider the fund's expense ratio of 0.40%, which, while typical for thematic ETFs, can impact long-term returns compared to broader, lower-cost index funds.

Technical Indicators i

RSI (14) 41.55
MACD -1.17
SMA 50 148.11
SMA 200 131.96
Technical Rating Bearish
RSI
Neutral
SMA Cross
Bullish
Price vs SMA
Bearish
MACD
Bearish
Golden Cross in effect with the 50-day SMA ($148.11) above the 200-day SMA ($131.96), price is trading below the 50-day SMA.

QTUM Trade Plans

Specific entry, exit, and risk management levels

Select Your Trade Bias
Risk Tolerance
Conservative 2% Aggressive
Portfolio Value
$
Position Size: Enter portfolio size →

Long entry pick an entry style

Conservative
$139.94
2% below current price (Pullback entry)
Lower risk, wait for pullback
Aggressive
$142.80
Buy at current price
Higher risk, immediate entry

Risk Management

STOP LOSS
$135.75
MAX LOSS
-3.0%
Volatility-Adjusted Stop Loss
Calculated based on RSI (41.6) and current market volatility

Profit Targets (Based on Conservative Entry)

TARGET 1
$146.94
+5% (Conservative)
+2.9% (Aggressive)
TARGET 2
$153.94
+10% (Conservative)
+7.8% (Aggressive)
TARGET 3
$160.94
+15% (Conservative)
+12.7% (Aggressive)
Consider scaling out: Take 50% profit at Target 1, 30% at Target 2, let 20% run to Target 3
ETF Investment Disclaimer
This AI-generated analysis of QTUM is for educational purposes only and does not constitute investment advice. ETFs are subject to market risk including possible loss of principal. Performance depends on the underlying index or assets tracked. Read the fund prospectus before investing. Past performance does not guarantee future results. Generated on September 15, 2026.

Growth of $10,000

A $10,000 investment in QTUM in September 2018 would be worth about $57,697 today, compared with about $26,325 for the same investment in the S&P 500 benchmark.

Compare with Another Ticker

Monte Carlo Projection (10yr)

CleaRank's 10-year Monte Carlo simulation projects that a $10,000 investment in QTUM today could grow to about $37,976 by 2036 in the base case, with a bull case near $117,086 and a bear case around $12,317. Projections are statistical simulations, not guarantees.

QTUM ETF Price Prediction: 2030

CleaRank's simulation projects a price near $244 for QTUM by 2030 in the base case, from $143 today (1.7x over 4 years). The downside path ends near $119. These are outcomes of a Monte Carlo simulation run on QTUM's historical return distribution, not price targets, and they assume no dividends are reinvested.

QTUM simulated price paths by year
Year Downside (10th pct) Base case Upside (90th pct)
2027 $114 $163 $233
2028 $113 $186 $309
2029 $115 $213 $395
2030 $119 $244 $496
2031 $126 $278 $617
2032 $133 $318 $761
2033 $142 $363 $932
2034 $152 $415 $1,137
2035 $163 $475 $1,381
2036 $176 $542 $1,672

Method: 10,000 simulated price paths using QTUM's historical volatility and drift, re-run daily. The base case is the median path; the two outer columns are the 10th and 90th percentile outcomes, which widen with time because uncertainty compounds. Simulations are not guarantees, and past volatility does not predict future returns. This is analysis, not investment advice.

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Frequently Asked Questions

What is the expense ratio for the Defiance Quantum ETF (QTUM)?
The expense ratio for QTUM is 0.40%, which translates to $40.00 per $10,000 invested annually. This covers the fund's management and operational costs.
What sectors does the Defiance Quantum ETF (QTUM) hold?
QTUM is heavily concentrated in the Technology sector, holding approximately 78.98%. It also has smaller allocations to Industrials (10.1%) and Communication Services (6.85%).
What is the distribution yield for the Defiance Quantum ETF (QTUM)?
The Defiance Quantum ETF (QTUM) has a distribution yield of approximately 0.82%.
How has QTUM performed against its category over different periods?
QTUM has shown strong performance, with a 1-year return of 57.84% versus its category's 54.99%. Over 3 years, it returned 44.25% compared to the category's 27.86%, and over 5 years, it delivered 24.90% against the category's 9.93%.
What is the price prediction for QTUM ETF in 2030?
Based on a Monte Carlo simulation, the base case price prediction for QTUM in 2030 is $243.52. The simulation also indicates a downside price of $119.47 and an upside price of $496.36. These figures are statistical outcomes, not guarantees.
What are the key technical levels for QTUM?
Key technical levels for QTUM include its 50-day SMA at $148.11, which is acting as resistance, and its 200-day SMA at $131.96, which is acting as support. The 20-day EMA is currently at $147.70.
What is the primary strategy of the Defiance Quantum ETF?
The Defiance Quantum ETF aims to provide exposure to companies involved in quantum computing and machine learning, following the BlueStar Quantum Computing and Machine Learning Index.
What is the current RSI status for QTUM?
The current RSI for QTUM is 41.55, which is considered neutral and does not indicate overbought or oversold conditions.

Disclaimer: CleaRank.com is a financial data and analytics provider, not a registered investment advisor, broker-dealer, or financial regulatory body. The ETF analysis and AI-generated insights presented for QTUM are for educational and informational purposes only and do not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. ETFs are subject to market risk, including the possible loss of principal. ETF performance depends on the underlying index or assets it tracks, and past performance does not guarantee future results. Expense ratios, tracking error, and liquidity vary by fund. All trade setups and performance metrics shown are hypothetical, hindsight-based, and simulated. Market data is provided "as-is" and may be delayed by 15 minutes or more. Investors should read the fund prospectus carefully before investing. Consult a qualified financial advisor for personalized guidance. Analysis generated on September 15, 2026.

Disclaimer:

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