FTEC
Price
$280.46
Change
+$2.67 (+0.96%)
Updated
Aug 25, 04:59 PM (EDT)
Net Assets
21.01B
Intraday BUY SELL Signals
QTUM
Price
$148.78
Change
+$1.83 (+1.25%)
Updated
Aug 25, 04:59 PM (EDT)
Net Assets
5.63B
Intraday BUY SELL Signals
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FTEC vs QTUM

FTEC vs QTUM Comparison Chart in %
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A.I.Advisor
Aug 22, 2026

Which ETF would AI Choose? Fidelity MSCI Information Technology Index ETF (FTEC) vs. Defiance Quantum ETF (QTUM)

Key Takeaways

  • FTEC provides broad, low-cost exposure to the U.S. information technology sector through a passive index-tracking strategy, while QTUM targets a narrower thematic universe focused on quantum computing and machine learning.
  • FTEC maintains a larger number of holdings (approximately 289) with heavy concentration in mega-cap names such as NVDA, AAPL, and MSFT, whereas QTUM holds roughly 83 securities in a modified equal-weighted structure.
  • The expense ratio for FTEC stands at 0.08%, significantly lower than QTUM’s 0.40%, reflecting differences in strategy complexity and thematic focus.
  • FTEC delivers pure-play sector exposure to information technology, while QTUM offers differentiated access to emerging technologies within and beyond traditional IT boundaries.
  • Both ETFs are passively managed but differ in rebalancing frequency and index methodology, influencing their risk profiles and correlation to broader market cycles.
  • QTUM’s thematic mandate introduces higher potential volatility tied to innovation cycles, contrasting with FTEC’s more stable sector representation.

Introduction

Investors seeking technology exposure face a choice between broad sector representation and specialized thematic strategies. Fidelity MSCI Information Technology Index ETF (FTEC) and Defiance Quantum ETF (QTUM) both operate within the technology space yet pursue distinct objectives. FTEC delivers comprehensive coverage of the U.S. information technology sector, while QTUM concentrates on companies advancing quantum computing and machine learning. These funds do not compete directly but serve as complementary or alternative vehicles depending on an investor’s preference for diversified sector allocation versus targeted innovation exposure.

Fidelity MSCI Information Technology Index ETF (FTEC) Overview

Fidelity MSCI Information Technology Index ETF (FTEC) seeks to track the MSCI USA IMI Information Technology 25/50 Index, providing exposure to U.S. companies primarily engaged in software, hardware, semiconductors, and related services. The fund holds approximately 289 securities and employs a passive, market-capitalization-weighted approach with quarterly rebalancing. Top holdings typically include NVDA, AAPL, MSFT, AVGO, and MU, reflecting significant concentration in leading technology firms. Sector allocation is concentrated almost entirely in information technology. The expense ratio is 0.08%, and the structure remains fully passive without leverage or derivatives overlays.

Defiance Quantum ETF (QTUM) Overview

Defiance Quantum ETF (QTUM) tracks the BlueStar Quantum Computing and Machine Learning Index through a passive indexing methodology. The fund holds approximately 83 securities selected on a modified equal-weighted basis from companies deriving at least 50% of revenue or activity from quantum computing and machine learning technologies. Holdings include a mix of established semiconductor firms and smaller innovators across global markets. The expense ratio is 0.40%. Rebalancing occurs semi-annually, and the strategy remains fully passive with no use of leverage or inverse positioning. This structure emphasizes thematic purity over broad sector diversification.

Industry and Thematic Backdrop

The technology sector continues to experience sustained capital allocation driven by artificial intelligence adoption, semiconductor demand, and enterprise digital transformation. Quantum computing and advanced machine learning represent frontier areas attracting both corporate and government investment. Regulatory developments around export controls on advanced chips and data privacy influence supply chains for both broad IT and specialized quantum-related firms. Macroeconomic factors such as interest rate trajectories and capital expenditure cycles affect growth trajectories across technology sub-sectors. Structural risks include valuation compression during risk-off periods and potential slowdowns in technology spending.

Performance and Positioning Comparison

Over recent market cycles, FTEC has exhibited performance closely aligned with large-cap technology leaders, benefiting from earnings growth in semiconductors and software. QTUM has shown greater sensitivity to innovation-driven rotations, with periods of outperformance during heightened interest in quantum and artificial intelligence breakthroughs. FTEC generally maintains lower volatility due to its large-cap bias and broad holdings, while QTUM’s equal-weighted and thematic construction can amplify moves during sector-specific catalysts. Relative positioning favors FTEC for core technology allocation and QTUM for satellite exposure seeking differentiated growth drivers tied to emerging technologies.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. AI Screener

Tickeron AI Verdict

Based on structural characteristics, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a higher probability of favor to Fidelity MSCI Information Technology Index ETF (FTEC) for core portfolios seeking consistent technology sector exposure. QTUM may appeal in scenarios prioritizing thematic momentum in quantum and machine learning, though its higher expense ratio and narrower focus introduce elevated risk parameters.

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

VS
FTEC vs. QTUM commentary
Aug 26, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is FTEC is a Hold and QTUM is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
FTEC has more net assets: 21B vs. QTUM (5.63B). QTUM has a higher annual dividend yield than FTEC: QTUM (34.490) vs FTEC (23.899). FTEC was incepted earlier than QTUM: FTEC (13 years) vs QTUM (8 years). FTEC (0.08) has a lower expense ratio than QTUM (0.40). QTUM has a higher turnover FTEC (9.00) vs FTEC (9.00).
FTECQTUMFTEC / QTUM
Gain YTD23.89934.49069%
Net Assets21B5.63B373%
Total Expense Ratio0.080.4021%
Turnover9.0042.0021%
Yield0.370.8345%
Fund Existence13 years8 years-
TECHNICAL ANALYSIS
Technical Analysis
FTECQTUM
RSI
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
86%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
88%
Bullish Trend 2 days ago
86%
Momentum
ODDS (%)
Bearish Trend 2 days ago
83%
Bearish Trend 2 days ago
87%
MACD
ODDS (%)
Bearish Trend 2 days ago
88%
Bearish Trend 2 days ago
83%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
83%
Bearish Trend 2 days ago
82%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
89%
Bullish Trend 2 days ago
89%
Advances
ODDS (%)
Bullish Trend 13 days ago
87%
Bullish Trend 12 days ago
88%
Declines
ODDS (%)
Bearish Trend 6 days ago
83%
Bearish Trend 6 days ago
79%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
79%
Aroon
ODDS (%)
Bearish Trend 2 days ago
77%
Bearish Trend 2 days ago
82%
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FTEC
Daily Signal:
Gain/Loss:
QTUM
Daily Signal:
Gain/Loss:
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FTEC and

Correlation & Price change

A.I.dvisor indicates that over the last year, FTEC has been closely correlated with ONTO. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTEC jumps, then ONTO could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To FTEC
1D Price
Change %
FTEC100%
-1.71%
ONTO - FTEC
70%
Closely correlated
-3.55%
AMKR - FTEC
68%
Closely correlated
-4.70%
COHR - FTEC
66%
Closely correlated
-4.85%
VSH - FTEC
66%
Loosely correlated
-3.79%
GLW - FTEC
63%
Loosely correlated
-2.86%
More

QTUM and

Correlation & Price change

A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTUM jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To QTUM
1D Price
Change %
QTUM100%
-2.35%
LRCX - QTUM
81%
Closely correlated
-1.22%
MKSI - QTUM
79%
Closely correlated
-3.60%
LSCC - QTUM
78%
Closely correlated
-3.01%
AMAT - QTUM
78%
Closely correlated
-1.65%
KLAC - QTUM
76%
Closely correlated
-1.32%
More