In the evolving landscape of technology investing, Roundhill Magnificent Seven ETF (MAGS) and Vanguard Information Technology ETF (VGT) offer distinct pathways to capture growth in the information technology sector. MAGS targets equal-weighted exposure to the dominant "Magnificent Seven" stocks—Alphabet (GOOGL), Amazon (AMZN), Apple (AAPL), Meta (META), Microsoft (MSFT), NVIDIA (NVDA), and Tesla (TSLA)—emphasizing concentrated leadership in AI, cloud, and innovation. VGT, by contrast, provides broad, market-cap-weighted access to the entire U.S. IT sector. These ETFs appeal to investors balancing thematic purity against diversified sector participation, particularly amid surging AI infrastructure demand and semiconductor advancements.
The Roundhill Magnificent Seven ETF (MAGS), issued by Roundhill Investments, is an actively managed fund launched in April 2023. It seeks capital growth through equal-weighted exposure to the seven leading technology companies known as the Magnificent Seven. With approximately 7 core holdings (augmented by total return swaps for regulatory compliance), MAGS maintains roughly 14% allocation per stock. Top holdings typically include NVDA (~14%), META (~14%), GOOGL (~14%), AAPL (~14%), TSLA (~14%), MSFT (~14%), and AMZN (~14%). Sector exposure is heavily tilted toward technology, with elements of consumer cyclical via Tesla. The gross expense ratio stands at 0.29% (net 0.30%), reflecting active management costs. MAGS rebalances quarterly to equal weights, utilizing swaps to ensure tax efficiency as a Regulated Investment Company (RIC). Its structure emphasizes simplicity and precision for investors bullish on mega-cap tech dominance, with AUM around $4.8 billion supporting robust liquidity (median bid-ask spread 0.02%).
The Vanguard Information Technology ETF (VGT), managed by The Vanguard Group since its inception in January 2004, passively tracks the MSCI US Investable Market Information Technology 25/50 Index. This benchmark includes large-, mid-, and small-cap U.S. companies classified under the Global Industry Classification Standard (GICS) information technology sector. Holding 317 stocks, VGT features top weights in NVDA (18.5%), AAPL (15.9%), MSFT (10.2%), AVGO (4.4%), and MU (2.0%). Sector allocation is fully IT-focused, with semiconductors at 34%, technology hardware/storage/peripherals at 19%, systems software at 15%, and application software at 11%. The expense ratio is a low 0.09%, supported by Vanguard's scale (AUM over $120 billion). The fund replicates the index via full or optimized sampling, with low turnover (~8%) and quarterly index rebalancing. High liquidity (average daily volume over 4 million shares, bid-ask spread 0.03%) makes it a staple for broad tech sector exposure.
The information technology sector thrives amid an AI infrastructure boom, with global semiconductor sales projected to hit $975 billion in 2026, driven by generative AI chips nearing $500 billion in revenue. Catalysts include hyperscaler capital expenditures on data centers, high-bandwidth memory demand, and advancements in chiplet architectures. Capital flows favor AI enablers like semiconductors and cloud computing, bolstered by potential interest rate stabilization. Regulatory scrutiny on antitrust and export controls poses risks, alongside supply chain vulnerabilities from geopolitical tensions. Macro drivers such as earnings growth in semiconductors (up 26% projected) and software support sector rotation into tech, though valuation stretches and potential demand corrections warrant caution.
Over recent market cycles, MAGS has demonstrated strong relative positioning in mega-cap driven rallies, benefiting from quarterly equal-weight rebalancing that tempers dominance by outperformers like NVDA while boosting laggards. VGT, market-cap weighted, has amplified gains from top holdings amid AI-fueled semiconductor surges but experienced moderated volatility through mid-cap exposure. In recent weeks, both have navigated sector rotations tied to earnings from key holdings and interest rate expectations, with MAGS showing higher sensitivity to Magnificent Seven momentum. VGT's broader diversification has provided relative stability during pullbacks in mega-caps, though both exhibit elevated volatility versus the broader market due to tech concentration. Positioning favors MAGS in concentrated leadership phases and VGT amid sector-wide expansion.
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Tickeron’s AI currently favors VGT with moderate conviction (65% probability edge over 6-12 months). VGT's superior cost efficiency (0.09% expense ratio), extensive diversification (317 holdings), and consistent trend alignment with the broader IT sector provide structural advantages in varied market cycles. While MAGS excels in mega-cap momentum phases, its concentration elevates risk exposure amid potential rotations, making VGT preferable for balanced tech positioning.
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| MAGS | VGT | MAGS / VGT | |
| Gain YTD | 0.834 | 22.349 | 4% |
| Net Assets | 3.78B | 170B | 2% |
| Total Expense Ratio | 0.30 | 0.09 | 333% |
| Turnover | 40.00 | 8.00 | 500% |
| Yield | 1.38 | 0.32 | 437% |
| Fund Existence | 3 years | 22 years | - |
| MAGS | VGT | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 82% | 3 days ago 72% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 83% |
| Momentum ODDS (%) | 3 days ago 90% | N/A |
| MACD ODDS (%) | 3 days ago 80% | 3 days ago 83% |
| TrendWeek ODDS (%) | 3 days ago 78% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 86% | 3 days ago 89% |
| Advances ODDS (%) | 11 days ago 90% | 6 days ago 88% |
| Declines ODDS (%) | 5 days ago 75% | 3 days ago 81% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 75% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
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% | -3.78% | ||
| TSLA - MAGS | 70% Closely correlated | -6.56% | ||
| AMZN - MAGS | 68% Closely correlated | -3.06% | ||
| NVDA - MAGS | 65% Loosely correlated | -6.20% | ||
| META - MAGS | 64% Loosely correlated | -5.51% | ||
| GOOGL - MAGS | 60% Loosely correlated | -0.98% | ||
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