Investors seeking targeted technology exposure often evaluate Fidelity MSCI Information Technology Index ETF (FTEC) and First Trust NASDAQ-100-Technology Sector Index Fund (QTEC) as complementary or alternative options within the same sector. These two exchange-traded funds (ETFs) do not compete directly in every dimension; instead, they represent distinct indexing methodologies applied to overlapping yet non-identical technology universes. FTEC tracks a comprehensive market-capitalization-weighted benchmark, while QTEC applies equal weighting to technology members of the NASDAQ-100 Index. The comparison helps investors understand differences in cost, diversification, and risk profiles that influence relative positioning within technology sector allocations.
Fidelity MSCI Information Technology Index ETF (FTEC) is a passive exchange-traded fund that seeks to track the performance of the MSCI USA IMI Information Technology 25/50 Index before fees and expenses. The fund holds approximately 280–294 securities and maintains nearly 100 percent allocation to the information technology sector. Top holdings typically include NVIDIA Corp (NVDA), Apple Inc (AAPL), Microsoft Corp (MSFT), Broadcom Inc (AVGO), and Micron Technology Inc (MU), reflecting market-capitalization weighting. The expense ratio stands at 0.08 percent. FTEC employs a full replication strategy with no active management or leverage, and rebalancing occurs as needed to match index changes. Its structure provides low-cost, diversified access to the broad U.S. technology equity market.
First Trust NASDAQ-100-Technology Sector Index Fund (QTEC) is a passive exchange-traded fund that tracks an equal-weighted index composed of the technology companies within the NASDAQ-100 Index. The fund typically holds fewer securities than broader technology benchmarks and applies equal weighting across constituents, with quarterly rebalancing to maintain target allocations. The expense ratio is 0.55 percent. Top holdings vary due to equal weighting and commonly include names such as Roper Technologies Inc (ROP), Thomson Reuters Corp (TRI), DoorDash Inc (DASH), Workday Inc (WDAY), and Palo Alto Networks Inc (PANW). QTEC remains fully invested in technology equities with no leverage or active overlay, delivering a balanced exposure profile within the NASDAQ-100 technology subset.
The technology sector continues to benefit from sustained demand for artificial intelligence infrastructure, semiconductor advancements, cloud computing, and enterprise software solutions. Capital flows into technology equities have remained robust amid earnings growth in leading semiconductor and software companies. Macroeconomic drivers include expectations around interest rate trajectories and corporate capital expenditure cycles. Regulatory developments in antitrust and data privacy continue to shape the operating environment for large technology platforms. Sector risks encompass valuation compression if growth expectations moderate, supply chain disruptions in semiconductor manufacturing, and potential shifts in global trade policies affecting technology supply chains. Both ETFs operate within this dynamic backdrop, with performance influenced by the same fundamental catalysts.
In recent market cycles, FTEC’s market-capitalization weighting has resulted in stronger participation during periods when mega-cap technology leaders outperformed, driven by earnings momentum in artificial intelligence and semiconductor segments. QTEC’s equal-weight methodology has produced different relative returns, with quarterly rebalancing providing incremental exposure to mid-tier technology names and potentially moderating volatility associated with the largest constituents. Over broader timeframes, FTEC has demonstrated cost advantages that compound over time, while QTEC’s structure may deliver more balanced sector rotation participation. Volatility differences arise primarily from weighting schemes rather than underlying holdings overlap. Both ETFs remain sensitive to technology earnings seasons and macroeconomic shifts affecting growth expectations.
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. Professional and retail investors seeking data-driven insights into ETFs such as Fidelity MSCI Information Technology Index ETF (FTEC) and First Trust NASDAQ-100-Technology Sector Index Fund (QTEC) may find the platform useful for refining their research process.
Based on observable structural characteristics, Tickeron’s AI would currently assign a probabilistic preference to Fidelity MSCI Information Technology Index ETF (FTEC). The lower expense ratio, broader diversification across the information technology universe, and alignment with market-capitalization leadership in artificial intelligence beneficiaries represent durable advantages. QTEC’s equal-weight approach and higher costs introduce different risk and return dynamics that may suit specific tactical allocations, yet the cost efficiency and comprehensive sector coverage of FTEC provide a more favorable overall profile under current market conditions.
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.
| FTEC | QTEC | FTEC / QTEC | |
| Gain YTD | 26.053 | 36.494 | 71% |
| Net Assets | 21B | 4.73B | 444% |
| Total Expense Ratio | 0.08 | 0.55 | 15% |
| Turnover | 9.00 | 38.00 | 24% |
| Yield | 0.37 | 0.01 | 3,397% |
| Fund Existence | 13 years | 20 years | - |
| FTEC | QTEC | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 88% | 27 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 80% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 83% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 88% |
| Advances ODDS (%) | 11 days ago 87% | 3 days ago 89% |
| Declines ODDS (%) | 4 days ago 83% | 6 days ago 81% |
| BollingerBands ODDS (%) | 3 days ago 77% | 3 days ago 86% |
| Aroon ODDS (%) | 3 days ago 75% | 3 days ago 80% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| AUMI | 107.53 | 3.36 | +3.23% |
| Themes Gold Miners ETF | |||
| TBF | 25.52 | 0.11 | +0.43% |
| ProShares Short 20+ Year Treasury | |||
| FPEI | 19.04 | 0.04 | +0.20% |
| First Trust Instl Pref Secs and Inc ETF | |||
| AIUP | 29.70 | 0.04 | +0.14% |
| Finq First U.S. Large Cap AI Managed Equity ETF | |||
| FOF | 13.50 | -0.03 | -0.22% |
| Cohen & Steers Closed End Opportunity Fund | |||
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.
| Ticker / NAME | Correlation To FTEC | 1D Price Change % | ||
|---|---|---|---|---|
| FTEC | 100% | +0.10% | ||
| ONTO - FTEC | 70% Closely correlated | -1.84% | ||
| AMKR - FTEC | 68% Closely correlated | -1.18% | ||
| PDFS - FTEC | 67% Closely correlated | +1.87% | ||
| COHR - FTEC | 66% Loosely correlated | -0.18% | ||
| VSH - FTEC | 65% Loosely correlated | -0.63% | ||
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A.I.dvisor indicates that over the last year, QTEC has been closely correlated with LRCX. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTEC jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QTEC | 1D Price Change % | ||
|---|---|---|---|---|
| QTEC | 100% | +0.15% | ||
| LRCX - QTEC | 77% Closely correlated | +1.12% | ||
| AMAT - QTEC | 75% Closely correlated | -0.78% | ||
| KLAC - QTEC | 74% Closely correlated | -1.01% | ||
| MU - QTEC | 73% Closely correlated | -0.77% | ||
| SWKS - QTEC | 72% Closely correlated | -1.18% | ||
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