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The Roundhill Magnificent Seven ETF (MAGS) is an actively managed fund providing equal-weighted exposure to the "Magnificent Seven" stocks: Alphabet (GOOGL), Amazon (AMZN), Apple (AAPL), Meta (META), Microsoft (MSFT), Nvidia (NVDA), and Tesla (TSLA). Unlike market-cap weighted indices, MAGS rebalances quarterly to maintain ~14% allocation per holding, using a mix of direct equities and total return swaps for tax efficiency and regulatory compliance as a Regulated Investment Company (RIC).
Sector allocations tilt heavily toward Information Technology (~43%), Communication Services (~29%), and Consumer Discretionary (~29%), reflecting the innovative core of its holdings. With assets under management (AUM) exceeding $4.8 billion and a low expense ratio of 0.29-0.30%, MAGS structurally positions investors for tech dominance. This concentrated strategy amplifies upside from AI, cloud computing, and electric vehicles but heightens sensitivity to sector-specific disruptions. Future performance hinges on the collective growth of these leaders in AI infrastructure and digital transformation.
Upcoming AI infrastructure buildouts represent a pivotal catalyst, with hyperscalers committing hundreds of billions in capital expenditures (capex) for data centers and GPUs in 2026. Nvidia's Rubin architecture and custom chips from Alphabet and Amazon could drive semiconductor demand, directly benefiting MAGS holdings. Quarterly earnings from key names like NVDA and MSFT will reveal AI monetization progress, potentially sparking rallies if ROI exceeds expectations.
Interest rate trajectories from the Federal Reserve, with anticipated cuts amid softening labor markets, could ease borrowing costs for capex-heavy firms and support elevated valuations. Fund flow momentum, evidenced by $493 million in recent monthly inflows, may accelerate AUM growth, enhancing liquidity and options trading. Index-like quarterly rebalancing in July 2026 will realign exposures, capturing shifts in underperformers like Tesla amid EV policy changes or robotaxi developments.
Regulatory scrutiny on AI ethics and antitrust could pressure Meta and Alphabet, while positive policy on chip subsidies bolsters Nvidia. These events underscore MAGS' high-conviction bet on tech resilience.
The technology sector enters 2026 with reaccelerating earnings, propelled by AI data center demand projecting $975 billion in global semiconductor sales and over $500 billion from generative AI chips alone. Cloud computing and software subsectors, led by AWS and Azure, anticipate double-digit revenue growth despite moderating from prior peaks.
Macro tailwinds include expected Fed rate cuts, reducing pressure on growth stocks' present values amid persistent inflation moderation and resilient U.S. GDP expansion around 3%. However, elevated AI capex risks free cash flow compression if monetization lags, amplifying MAGS' beta to tech cycles. Geopolitical factors, like U.S.-China tensions, may disrupt supply chains for semis but spur domestic investment.
Broader equity trends favor quality growth, with Magnificent Seven forecasted for 23% EPS growth versus the S&P 500 ex-Mag7. MAGS' equal-weight structure could outperform cap-weighted peers if dispersion narrows, tying its trajectory to AI adoption and economic stability.
Tickeron’s Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It leverages advanced machine learning algorithms to analyze historical patterns, technical indicators, and market data, enabling users to spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The platform includes searchable prediction categories by timeframe, historical accuracy context, and alert-oriented functionality for real-time notifications. Designed for both novice and experienced investors, it provides data-driven insights to inform trading decisions. Explore the Trend Prediction Engine today to enhance your market analysis.
Long-term drivers for MAGS center on secular AI adoption, with global IT spending poised to exceed $6 trillion by 2026, fueled by data centers and edge computing. Semiconductor super-cycles, demographic shifts toward digital natives, and economic cycles favoring innovation position holdings like Nvidia and Microsoft for sustained leadership.
Technology adoption in agentic AI and cloud migration will reshape enterprise workflows, benefiting Amazon and Alphabet's infrastructure moats. Global investment trends toward U.S. tech dominance persist, despite interest rate normalization, as capex cycles mirror historical booms but with stronger fundamentals. Quarterly rebalancing ensures adaptability to evolving index dynamics, while geographic U.S.-centric exposure shields against currency volatility. Overall, MAGS aligns with structural megatrends in AI, cloud, and electrification for multi-year potential.
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Category Technology
A.I.dvisor indicates that over the last year, MAGS has been closely correlated with FTEC. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if MAGS jumps, then FTEC could also see price increases.
| Ticker / NAME | Correlation To MAGS | 1D Price Change % | ||
|---|---|---|---|---|
| MAGS | 100% | -3.78% | ||
| FTEC - MAGS | 91% Closely correlated | -6.17% | ||
| CHAT - MAGS | 86% Closely correlated | -9.56% | ||
| IYW - MAGS | 81% Closely correlated | -5.92% | ||
| VGT - MAGS | 78% Closely correlated | -6.14% | ||
| CIBR - MAGS | 76% Closely correlated | -4.41% | ||
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MAGS saw its Momentum Indicator move below the 0 level on June 02, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 56 similar instances where the indicator turned negative. In of the 56 cases, the stock moved further down in the following days. The odds of a decline are at .
The 10-day RSI Indicator for MAGS moved out of overbought territory on May 15, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 28 similar instances where the indicator moved out of overbought territory. In of the 28 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Moving Average Convergence Divergence Histogram (MACD) for MAGS turned negative on May 19, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 35 similar instances when the indicator turned negative. In of the 35 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where MAGS declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The 50-day moving average for MAGS moved above the 200-day moving average on May 19, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where MAGS advanced for three days, in of 229 cases, the price rose further within the following month. The odds of a continued upward trend are .
MAGS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In of 270 cases where MAGS Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .