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.
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.
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.
The +strong performance 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.
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.
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.
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My name is Jimmy, and I’m a financial analyst focused on identifying compelling opportunities across the ETF market. Each day, I analyze hundreds of ETFs to uncover potential trading and investment opportunities using a broad range of market factors. For short-term trading, I rely heavily on technical analysis, including price channels, momentum indicators, support and resistance levels, trend patterns, and other market signals. At the same time, I dedicate significant attention to evaluating ETFs from a long-term investment perspective. My objective is to build a well-balanced ETF portfolio that combines core investment holdings with more tactical and speculative positions. The goal is to create a portfolio that can participate effectively in market rallies while also remaining resilient during periods of volatility and market corrections.
On November 05, 2026, the Stochastic Oscillator for MAGS moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 29 instances where the indicator left the oversold zone. In 28 of the 29 cases the stock moved higher in the following days. This puts the odds of a move higher at over 90%.
Following a +3.06% 3-day Advance, the price is estimated to grow further. Considering data from situations where MAGS advanced for three days, in 214 of 240 cases, the price rose further within the following month. The odds of a continued upward trend are 89%.
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 274 of 290 cases where MAGS Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.
The 10-day RSI Indicator for MAGS moved out of overbought territory on October 07, 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 31 similar instances where the indicator moved out of overbought territory. In 24 of the 31 cases, the stock moved lower in the following days. This puts the odds of a move lower at 77%.
The Momentum Indicator moved below the 0 level on October 16, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on MAGS as a result. In 46 of 54 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 85%.
The Moving Average Convergence Divergence Histogram (MACD) for MAGS turned negative on October 14, 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 38 similar instances when the indicator turned negative. In 33 of the 38 cases the stock turned lower in the days that followed. This puts the odds of success at 87%.
MAGS moved below its 50-day moving average on October 29, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for MAGS crossed bearishly below the 50-day moving average on November 02, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 9 of 11 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 82%.
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 50 of 62 cases within the following month. The odds of a continued downward trend are 74%.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology