In today's market, technology sector ETFs like FTEC and MAGS attract investors seeking growth from AI, cloud computing, and digital innovation. FTEC provides comprehensive U.S. information technology exposure, capturing the sector's full spectrum from semiconductors to software. MAGS, conversely, targets concentrated equal-weight positions in the Magnificent Seven mega-caps, offering a streamlined bet on dominant tech innovators. While both benefit from tech momentum, they diverge in diversification versus focus, making this comparison essential for aligning strategies with risk tolerance and sector rotation trends in recent market cycles.
The Fidelity MSCI Information Technology Index ETF (FTEC) is a passively managed fund tracking the MSCI USA IMI Information Technology 25/50 Index, which includes large-, mid-, and small-cap U.S. technology equities. It holds approximately 284 stocks, with top holdings including NVDA (18.83%), AAPL (14.29%), MSFT (9.91%), AVGO (4.86%), and MU (2.64%). Sector allocation is dominated by technology at 98.5%, with minor exposure to communication services (0.51%) and financial services (0.48%). The expense ratio stands at a low 0.08%, and the fund features high liquidity with average daily volume exceeding 400,000 shares. Its market-cap weighting and quarterly rebalancing ensure alignment with sector leaders while maintaining broad diversification.
The Roundhill Magnificent Seven ETF (MAGS) is an actively managed thematic fund providing equal-weight exposure to seven mega-cap technology leaders: Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Tesla. It maintains roughly equal allocations (around 14% each pre-rebalance) through quarterly rebalancing, using direct holdings, swaps, and Treasury collateral for tax efficiency. Top reported holdings reflect this balance alongside liquidity buffers like XBOX (7.8%) and Treasuries. Sector weights emphasize technology services (15.5%), electronic technology (10.8%), and retail trade (6.1%), with government securities at 41.6%. The expense ratio is 0.30%, and it boasts robust liquidity with over 4 million average daily shares. This structure suits investors prioritizing concentrated growth over breadth.
The technology sector, powering AI infrastructure, semiconductors, and cloud services, faces tailwinds from surging data center demand and generative AI adoption. Global semiconductor sales hit $298.5 billion in Q1 2026, up 25% quarter-over-quarter, driven by logic and memory chips essential for AI training. Capital flows favor mega-caps amid interest rate stabilization, though regulatory scrutiny on AI ethics and antitrust risks looms. Macro shifts like energy constraints for data centers add volatility, while sector rotation into broader tech amid AI broadening benefits diversified plays. Both ETFs navigate these dynamics, with exposure to key catalysts like NVDA's AI dominance.
In recent months, both FTEC and MAGS have advanced with technology's rally, fueled by AI and semiconductor momentum. FTEC's broad holdings have delivered steady gains, bolstered by mid-cap performers amid sector rotation away from pure mega-cap concentration. MAGS, with its equal-weight discipline, has shown resilience by trimming outperformers like NVDA during rebalances, potentially lowering volatility versus cap-weighted peers in choppy cycles. FTEC exhibits slightly lower volatility due to diversification, while MAGS amplifies mega-cap trends but risks higher drawdowns if leadership narrows. Relative positioning favors FTEC for risk-adjusted exposure in diversified rotations, with both tied to earnings from top holdings and interest rate 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 (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes.
Tickeron’s AI currently favors FTEC for its structural advantages: lower 0.08% expense ratio, extensive 284-holdings diversification, and proven alignment with broad technology momentum. While MAGS offers appealing equal-weight mega-cap purity, its higher costs, concentration, and quarterly rebalancing introduce elevated risk in volatile environments. FTEC's profile suggests a higher probability of consistent outperformance for sector investors over market cycles.
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| FTEC | MAGS | FTEC / MAGS | |
| Gain YTD | 24.274 | -1.592 | -1,525% |
| Net Assets | 20.4B | 3.58B | 571% |
| Total Expense Ratio | 0.08 | 0.30 | 28% |
| Turnover | 9.00 | 27.00 | 33% |
| Yield | 0.33 | 1.38 | 24% |
| Fund Existence | 13 years | 3 years | - |
| FTEC | MAGS | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 82% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 79% | 3 days ago 80% |
| MACD ODDS (%) | 3 days ago 86% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 89% | 3 days ago 78% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 86% |
| Advances ODDS (%) | 3 days ago 88% | 18 days ago 90% |
| Declines ODDS (%) | 5 days ago 82% | 5 days ago 75% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 86% |
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A.I.dvisor indicates that over the last year, FTEC has been closely correlated with NVDA. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTEC jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To FTEC | 1D Price Change % | ||
|---|---|---|---|---|
| FTEC | 100% | +0.61% | ||
| NVDA - FTEC | 76% Closely correlated | +0.16% | ||
| LRCX - FTEC | 70% Closely correlated | +1.18% | ||
| AVGO - FTEC | 69% Closely correlated | -0.91% | ||
| CEVA - FTEC | 69% Closely correlated | +1.08% | ||
| KLAC - FTEC | 67% Closely correlated | +5.55% | ||
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A.I.dvisor indicates that over the last year, MAGS has been closely correlated with TSLA. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if MAGS jumps, then TSLA could also see price increases.
| Ticker / NAME | Correlation To MAGS | 1D Price Change % | ||
|---|---|---|---|---|
| MAGS | 100% | N/A | ||
| TSLA - MAGS | 70% Closely correlated | +1.82% | ||
| AMZN - MAGS | 69% Closely correlated | -1.23% | ||
| NVDA - MAGS | 67% Closely correlated | +0.16% | ||
| META - MAGS | 65% Loosely correlated | -0.26% | ||
| GOOGL - MAGS | 60% Loosely correlated | +0.53% | ||
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