Most investors who own the Magnificent Seven already own them, scattered across index funds, QQQ, and individual positions. MAGS and WCBR represent two very different answers to the same question: how do you build a deliberate, concentrated bet on a specific corner of the market, and what do you give up to do it?
What Each Fund Is Trying to Do
The Roundhill Magnificent Seven ETF (NYSEARCA:MAGS) exists for investors who want pure, equal-weight exposure to just seven companies: Apple, Nvidia, Microsoft, Amazon, Alphabet, Meta, and Tesla. The fund launched in April 2023 and charges a 0.29% expense ratio. The return engine is straightforward: if these seven companies grow their earnings and valuations, the fund goes up. There is no options overlay, no income strategy, and no attempt to soften the ride.
What makes MAGS structurally unusual is its use of swap-based positions layered on top of direct stock holdings. The portfolio shows a large negative cash offset of -64.44%, reflecting synthetic leverage from those swaps. The fund uses derivatives to achieve its equal-weight mandate more efficiently, but this means it behaves differently than a simple basket of the same seven stocks. Investors are holding a derivatives-enhanced structure, not a plain vanilla equity fund.
The WisdomTree Cybersecurity Fund (NASDAQ:WCBR) takes a different angle. Launched in January 2021, it holds 24 cybersecurity companies across endpoint security, cloud protection, identity management, and network infrastructure. The thesis is structural: as enterprises move workloads to the cloud and threats multiply, security spending becomes non-discretionary. WCBR charges 0.45% annually and carries $72 million in assets, making it a smaller, more specialized vehicle.
Does the Performance Match the Promise?
MAGS has delivered on its core promise of amplified Magnificent Seven exposure. Over the past year, the fund returned 35.6%, compared to 28.9% for QQQ. That outperformance reflects what concentrated equal-weighting gets you in a strong market for these names. The tradeoff shows up in 2026: MAGS is down 5.8% year-to-date while QQQ has pulled back only 1.1% and the broader S&P 500 is essentially flat. Concentration cuts both ways.
WCBR tells a harder story. Since its inception in early 2021, the fund has returned only 19.4% on a five-year basis, while the S&P 500 gained 71.6%. Cybersecurity spending has grown steadily in the real world, but that growth has not translated into equity returns — a disconnect that analysts attribute to valuation compression in high-growth names during periods of rising rates.
The past year was similarly disappointing, with WCBR down 2.9% against the broader market’s gain. The sector’s tailwinds are real; the stock performance has not reflected them, in part because many holdings remain priced for future earnings that have yet to materialize.
The Tradeoffs Worth Understanding
With MAGS, there is no floor. The fund has zero allocation to defensive sectors like utilities, healthcare, or consumer staples. In a rotation away from mega-cap growth, or when one or two of the seven names stumble, nothing in the portfolio cushions the drawdown. The swap structure also introduces counterparty complexity a standard equity ETF does not carry.
WCBR carries valuation sensitivity. Many holdings, including CrowdStrike, Cloudflare, and SentinelOne, are high-growth companies priced for future earnings that have not yet materialized. When rates rise or risk appetite shrinks, these names reprice sharply. The fund’s $72 million AUM means liquidity is thinner than most investors realize, which can widen bid-ask spreads during volatile sessions. International names like FFRI Security and AhnLab add currency and regulatory exposure a purely domestic cybersecurity play would not have.
Fund Characteristics at a Glance
MAGS is structured for concentrated equal-weight exposure to mega-cap growth, with no defensive buffer. WCBR is designed around a thesis on enterprise security spending, though its five-year track record of underperforming the S&P 500 by a wide margin is a data point worth noting in any research analysis.
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