Roundhill Magnificent Seven ETF (MAGS): +15% Surge in 30 Days Amid Tech Rebound
Key Takeaways
- MAGS rose approximately +15% over the past 30 days, driven by strong rebounds in key holdings like NVDA, TSLA, and AMZN.
- Over the past quarter, MAGS gained around +12%, recovering from a mid-March low amid broader tech sector volatility.
- Equal-weighted exposure to the Magnificent Seven stocks amplified gains from AI and cloud leaders, supported by robust fund inflows boosting AUM (assets under management) to over $4.7 billion.
- Quarterly rebalancing maintained balanced positions, helping the ETF capture upside in semiconductors and e-commerce while mitigating earlier drags from consumer cyclical names.
- Positive market sentiment toward tech innovation and earnings beats from holdings fueled the recent ETF price movement.
Understanding the Roundhill Magnificent Seven ETF (MAGS) and Its Portfolio
The Roundhill Magnificent Seven ETF (MAGS) stands out as an actively managed fund that provides equal-weight exposure to the so-called Magnificent Seven stocks: Alphabet (GOOGL), Amazon (AMZN), Apple (AAPL), Meta Platforms (META), Microsoft (MSFT), NVDA, and TSLA. It holds roughly seven core equity positions, along with cash equivalents and swaps for added diversification, all aimed at capturing technology-driven growth.
From what I see, the top holdings—such as GOOGL at around 16%, AMZN at 15%, and NVDA at 14%—highlight its focus. Sector allocations lean heavily toward technology (over 50% combined across semis, software, and hardware), communications, and consumer discretionary. This concentrated, equal-weighted approach has been key to its recent performance: it avoids over-reliance on any one name while benefiting from broad recoveries in AI, cloud computing, and electric vehicles.
MAGS Price Performance: 30-Day Climb vs. Quarterly Recovery
In the last 30 days, MAGS has climbed +15%, moving from approximately $59.82 to $68.89. This reflects a steady uptrend with relatively low volatility following an April recovery, closely aligned with broader tech sector rebounds.
Looking at the past quarter, the ETF advanced +12%, from around $61.73 to $68.89. The path was more volatile, with a dip to $55 in late March before a sharp rally through April and May, delivering net gains despite early pressures.
Key Drivers Behind MAGS's +15% Gain in the Last 30 Days
The +15% surge over the past 30 days came largely from strong performances in its top holdings. NVDA rose over +16% on continued AI chip demand and earnings optimism, while TSLA gained +20% and AMZN +23%, driven by EV production ramps and AWS cloud growth. The equal-weighted structure ensured these moves directly lifted the ETF.
I also checked this using Tickeron’s AI Screener to see how the ETF stacks up against peers in tech. Broader tailwinds from semiconductors and cloud infrastructure, positive economic data, and shifting sentiment around rate cuts all contributed. Strong fund flows grew AUM, reinforcing investor confidence in the Magnificent Seven themes, while news on AI adoption and e-commerce resilience added further support.
What Powered MAGS's +12% Quarterly Performance
The +12% gain over the quarter marked a recovery from March lows, fueled by enduring trends in AI infrastructure and cloud computing. Early headwinds from TSLA (-19% in the period) and macro concerns like inflation were countered by gains in NVDA (+13%) and AMZN.
Institutional inflows pushed AUM beyond $4.7 billion, enhancing returns. Technology sector cycles played to the ETF's strengths, and quarterly rebalancing kept positions balanced to capture the rally. Overall, earnings beats and growth expectations in the holdings outweighed the initial volatility.
Why I Rely on Tickeron’s AI Screener for ETF Analysis
In my own research, I’ve found Tickeron’s AI Screener invaluable as an AI-powered tool for discovering stocks and ETFs. It lets me filter thousands of assets using customizable criteria like technical patterns, fundamentals, trends, volatility, and AI signals—covering industry, market cap, indicators, price patterns, and performance metrics. This streamlines spotting trade ideas, breakouts, and opportunities far faster than manual methods. I use it regularly to deepen my ETF analysis and uncover trends in sectors like tech.
Looking Ahead: What to Watch for MAGS Investors
One thing that stands out for MAGS is the need to track the tech sector outlook, especially AI chip demand for NVDA and cloud growth for AMZN and MSFT. Macro factors—interest rates, inflation, economic growth—will shape valuations. Earnings from major holdings remain critical, as do EV developments for TSLA. Cycles in semiconductors and advertising (META, GOOGL) could introduce volatility. I’m watching risks like regulatory scrutiny on big tech and potential outflows, alongside catalysts from innovations or rate changes.
Disclaimer
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer. Disclaimers and Limitations
Momentum Indicator for MAGS turns negative, indicating new downward trend
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 .
Technical Analysis (Indicators)
Bearish Trend Analysis
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 .
Bullish Trend Analysis
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 .
Notable companies
Industry description
Market Cap
High and low price notable news
Volume
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Advertisement
General Information
Category Technology
Advertisement