Investors seeking technology sector exposure often compare specialized ETFs that target the same broad industry yet employ different construction methodologies. Fidelity MSCI Information Technology Index ETF (FTEC) and SPDR NYSE Technology ETF (XNTK) both track U.S.-listed technology companies but diverge in breadth, weighting schemes, and cost structures. These differences make the pair relevant for investors evaluating trade-offs between diversification and concentration within the information technology sector amid sustained demand for semiconductors, software, and hardware solutions.
Fidelity MSCI Information Technology Index ETF (FTEC) is a passively managed fund that seeks to track the performance of the MSCI USA IMI Information Technology 25/50 Index. The ETF holds approximately 280-290 stocks, delivering broad representation across the U.S. technology sector. Top holdings typically include NVDA, AAPL, MSFT, AVGO, and MU, with the top ten positions accounting for roughly 60% of assets. Sector allocation remains overwhelmingly concentrated in technology at approximately 98-99%, with negligible exposure elsewhere. The fund features a low expense ratio of 0.08% and employs market-capitalization weighting with periodic rebalancing to maintain alignment with the underlying index. Its structure emphasizes liquidity and scalability through a large asset base and high trading volume.
SPDR NYSE Technology ETF (XNTK) is a passively managed fund designed to track the NYSE Technology Index, which comprises approximately 35-37 leading U.S.-listed technology companies. The ETF applies an equal-weighted methodology, resulting in a more concentrated portfolio compared with broader benchmarks. Prominent holdings often feature MU, INTC, MRVL, AMD, AMAT, and LRCX, with the top ten holdings representing a substantial portion of assets. Technology comprises about 84-85% of the portfolio, supplemented by smaller allocations to consumer cyclical and communication services sectors. The fund carries an expense ratio of 0.35% and rebalances periodically to preserve equal weighting across constituents. Its smaller asset base and focused holdings profile contribute to distinct liquidity and volatility characteristics.
The technology sector continues to experience structural tailwinds from artificial intelligence adoption, semiconductor demand, cloud computing expansion, and digital transformation initiatives across industries. Capital flows into technology equities remain elevated as companies invest in infrastructure supporting generative AI and advanced computing. Macroeconomic factors such as interest rate trajectories and corporate capital expenditure cycles influence sector performance, while regulatory developments around data privacy, export controls on advanced chips, and antitrust scrutiny introduce periodic volatility. Supply chain resilience and geopolitical considerations also shape investment flows within semiconductors and hardware sub-sectors that feature prominently in both ETFs.
In recent market cycles, both ETFs have reflected broader technology sector momentum driven by earnings growth in semiconductors and software. FTEC’s broader diversification and market-cap weighting have historically produced more moderate volatility relative to more concentrated peers. XNTK’s equal-weighted approach and emphasis on semiconductor equipment and memory companies have amplified sensitivity to cyclical upswings and downturns in those niches. During periods of sector rotation or shifts in interest rate expectations, the concentrated positioning in XNTK can lead to sharper relative moves compared with FTEC’s more balanced exposure across the technology value chain. Over longer horizons, cost efficiency and diversification have supported FTEC’s relative positioning for investors prioritizing consistent sector participation.
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. Investors comparing technology ETFs can leverage the tool to evaluate additional candidates aligned with their objectives.
Based on observable structural factors including lower expense ratio, greater number of holdings, and broader diversification across the technology sector, Tickeron’s AI would currently assign higher probabilistic favorability to Fidelity MSCI Information Technology Index ETF (FTEC) for investors seeking efficient, core exposure. SPDR NYSE Technology ETF (XNTK) may appeal in scenarios prioritizing concentrated bets on specific sub-sectors, though its higher costs and narrower profile introduce elevated risk considerations.
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| FTEC | XNTK | FTEC / XNTK | |
| Gain YTD | 23.899 | 26.559 | 90% |
| Net Assets | 21B | 1.98B | 1,060% |
| Total Expense Ratio | 0.08 | 0.35 | 24% |
| Turnover | 9.00 | 16.00 | 56% |
| Yield | 0.37 | 0.16 | 234% |
| Fund Existence | 13 years | 26 years | - |
| FTEC | XNTK | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| Stochastic ODDS (%) | 1 day ago 88% | 1 day ago 89% |
| Momentum ODDS (%) | 1 day ago 83% | 1 day ago 85% |
| MACD ODDS (%) | 1 day ago 88% | 1 day ago 84% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 84% |
| TrendMonth ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| Advances ODDS (%) | 12 days ago 87% | 12 days ago 89% |
| Declines ODDS (%) | 5 days ago 83% | 1 day ago 82% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 81% |
| Aroon ODDS (%) | 1 day ago 77% | 1 day ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RTYY | 8.98 | 0.07 | +0.79% |
| GraniteShares YieldBOOST RIOT ETF | |||
| REM | 22.05 | 0.03 | +0.14% |
| iShares Mortgage Real Estate Capped ETF | |||
| XMAR | 43.31 | 0.02 | +0.05% |
| FT Vest U.S. Eq Enh & ModBufETF-Mar | |||
| QULL | 70.67 | N/A | N/A |
| ETRACS 2x Lvrgd MSCI US Qlty Fctr TR ETN | |||
| DON | 58.26 | N/A | N/A |
| WisdomTree US MidCap Dividend ETF | |||
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% | -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% | ||
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A.I.dvisor indicates that over the last year, XNTK has been closely correlated with TSM. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if XNTK jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To XNTK | 1D Price Change % | ||
|---|---|---|---|---|
| XNTK | 100% | -1.66% | ||
| TSM - XNTK | 78% Closely correlated | -2.11% | ||
| ADI - XNTK | 73% Closely correlated | -0.51% | ||
| ABNB - XNTK | 59% Loosely correlated | +1.55% | ||
| SE - XNTK | 56% Loosely correlated | -1.57% | ||
| SNOW - XNTK | 55% Loosely correlated | -3.00% | ||
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