Investors seeking amplified exposure to leading technology names often compare leveraged exchange-traded funds (ETFs) that target the Magnificent Seven stocks or subsets thereof. MAGX, QQQU, and TSLL represent distinct approaches within this leveraged thematic category: MAGX and QQQU deliver 2X daily results tied to the broader Magnificent Seven basket, whereas TSLL provides 2X daily results on Tesla alone. These products do not track similar indexes but instead offer tiered risk exposures to the same high-growth technology theme, appealing to traders navigating recent market cycles characterized by artificial intelligence (AI) momentum and sector volatility.
MAGX seeks daily investment results, before fees and expenses, that correspond to two times (2X) the performance of the Roundhill Magnificent Seven ETF. The fund employs synthetic exposure primarily through swap agreements and maintains a small number of holdings focused on these derivatives and cash equivalents. It targets equal-weighted exposure to Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla. The net expense ratio stands at 0.95%. As a leveraged product, MAGX resets exposure daily and is designed for short-term tactical use rather than multi-day holding periods.
QQQU aims to deliver 2X daily performance of the Indxx Magnificent 7 Index, which tracks the seven largest NASDAQ-listed companies meeting specific liquidity and price criteria. The ETF utilizes a combination of securities, swaps, and other financial instruments to achieve leveraged exposure. Holdings center on the same Magnificent Seven names with periodic rebalancing. The expense ratio is approximately 0.98%. Like other daily-reset leveraged products, QQQU requires active monitoring and is not intended for long-term buy-and-hold strategies.
TSLL seeks 2X daily investment results, before fees and expenses, of the common shares of Tesla (TSLA). The fund invests at least 80% of its net assets in TSLA securities and derivatives such as swaps to generate the targeted leverage. It is non-diversified with a primary focus on a single holding. The net expense ratio is 0.83%. Daily rebalancing ensures the 2X exposure resets each trading day, amplifying both gains and losses relative to Tesla’s price movements.
The Magnificent Seven theme continues to dominate capital flows in the technology sector, driven by AI infrastructure spending, semiconductor demand, and cloud computing growth. Macroeconomic factors including interest rate expectations, regulatory scrutiny on large-cap technology firms, and earnings trends among key holdings influence sector sentiment. Geopolitical tensions affecting supply chains and potential shifts in U.S. monetary policy add layers of volatility. These ETFs operate within a high-beta environment where concentrated exposure to mega-cap technology names amplifies sensitivity to both positive catalysts and adverse developments.
In recent weeks and months, performance differentials among the three ETFs have stemmed primarily from their distinct exposure profiles. MAGX and QQQU, with diversified Magnificent Seven baskets, have shown relatively more stable trend consistency compared to TSLL’s single-stock leverage. TSLL’s higher concentration has led to greater volatility and larger drawdowns during Tesla-specific events. All three products exhibit elevated sensitivity to macro factors such as growth stock rotations and AI-related news flow, with daily reset mechanics causing compounding effects over multi-day periods that diverge from simple 2X multiples.
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Based on observable structural characteristics, MAGX would likely receive the highest probabilistic preference from Tickeron’s AI due to its balanced diversification across the Magnificent Seven, competitive expense ratio, and established framework for delivering targeted leveraged exposure within a multi-name basket. This positioning offers a relatively more favorable risk-adjusted profile compared to the narrower focus of TSLL or the marginally higher cost of QQQU, though all remain high-risk tactical instruments.
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| MAGX | QQQU | TSLL | |
| Gain YTD | 4.198 | 14.134 | -45.876 |
| Net Assets | 64.3M | 75.4M | 3.78B |
| Total Expense Ratio | 0.95 | 0.98 | 0.83 |
| Turnover | N/A | 223.00 | 101.00 |
| Yield | 2.04 | 0.10 | 3.84 |
| Fund Existence | 3 years | 3 years | 4 years |
| MAGX | QQQU | TSLL | |
|---|---|---|---|
| RSI ODDS (%) | N/A | N/A | N/A |
| Stochastic ODDS (%) | 4 days ago 85% | 4 days ago 88% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 82% | 4 days ago 90% | 4 days ago 85% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 90% | N/A |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 6 days ago 89% | 6 days ago 87% | 7 days ago 90% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 80% | 4 days ago 90% |
| Aroon ODDS (%) | N/A | N/A | 4 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GEM | 52.69 | 1.52 | +2.97% |
| Goldman Sachs ActiveBeta Emerging Markets Equity ETF (GEM) | |||
| TUG | 47.80 | 1.11 | +2.37% |
| STF Tactical Growth ETF (TUG) | |||
| PTMC | 39.79 | 0.16 | +0.40% |
| Pacer Trendpilot US Mid Cap ETF (PTMC) | |||
| PLUL | 7.13 | 0.01 | +0.15% |
| Leverage Shares 2X Long PLUG Daily ETF (PLUL) | |||
| BITI | 17.01 | -1.17 | -6.44% |
| ProShares Short Bitcoin ETF (BITI) | |||
A.I.dvisor tells us that QQQU and MSFT have been poorly correlated (+11% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that QQQU and MSFT's prices will move in lockstep.
| Ticker / NAME | Correlation To QQQU | 1D Price Change % | ||
|---|---|---|---|---|
| QQQU | 100% | +6.68% | ||
| MSFT - QQQU | 11% Poorly correlated | +1.59% | ||
| META - QQQU | 8% Poorly correlated | +11.43% | ||
| GOOGL - QQQU | 6% Poorly correlated | +1.55% | ||
| AAPL - QQQU | 5% Poorly correlated | +0.85% | ||
| AMZN - QQQU | 3% Poorly correlated | +1.87% | ||
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A.I.dvisor indicates that over the last year, TSLL has been closely correlated with TSLA. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSLL jumps, then TSLA could also see price increases.
| Ticker / NAME | Correlation To TSLL | 1D Price Change % | ||
|---|---|---|---|---|
| TSLL | 100% | +5.75% | ||
| TSLA - TSLL | 100% Closely correlated | +3.00% |