MSFU and QULL both utilize daily 2x leverage but target distinctly different underlying exposures within the U.S. equity market. MSFU focuses exclusively on Microsoft, while QULL tracks a broad quality-factor index. These ETFs do not compete directly; instead, they represent alternative leveraged strategies for investors pursuing amplified returns in technology or quality-oriented segments. The comparison highlights structural differences that influence risk, diversification, and suitability across market environments.
Direxion Daily MSFT Bull 2X Shares (MSFU) is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, of 200% of the performance of Microsoft Corporation (MSFT) common shares. As a single-stock product, it holds derivatives such as swaps and futures to achieve the target leverage rather than a basket of equities. The fund maintains one primary holding—exposure to MSFT—and resets leverage daily. Its expense ratio stands at approximately 0.98%. MSFU belongs to the leveraged equity category and exhibits elevated volatility due to its concentrated technology-sector focus and daily-reset mechanism.
ETRACS 2x Leveraged MSCI US Quality Factor TR ETN (QULL) is a 2x leveraged exchange-traded note issued by UBS that seeks to deliver twice the compounded quarterly performance of the MSCI US Quality Factor Total Return Index. The index selects U.S. large- and mid-cap stocks based on quality characteristics including high profitability, earnings stability, and low financial leverage. QULL is an ETN, meaning investors hold unsecured debt of the issuer rather than fund assets. It resets leverage periodically and carries an expense structure typical of ETNs. The product provides broad diversification across dozens of quality-rated holdings with sector allocations tilted toward technology, healthcare, and consumer staples.
Both products operate within the broader U.S. large-cap equity environment, where technology and quality factors have experienced sustained investor interest driven by earnings growth in mega-cap names and preference for financially strong companies. Macroeconomic drivers include interest-rate expectations, corporate profit margins, and capital expenditure trends in technology. Regulatory developments around leverage products and issuer creditworthiness for ETNs remain relevant considerations. Sector rotation between growth and quality styles, along with periodic volatility spikes, influences capital flows into leveraged vehicles. Risks include amplified drawdowns during market corrections and the potential for compounding effects to deviate from expected multiples over longer holding periods.
In recent market cycles, MSFU’s performance has tracked closely with Microsoft’s earnings reports and broader technology-sector momentum, producing magnified daily moves relative to the underlying stock. QULL’s returns have reflected the collective behavior of quality-factor constituents, offering smoother exposure during periods when defensive, high-quality names outperformed. Relative positioning shows MSFU with greater sensitivity to single-company catalysts and sector-specific sentiment, while QULL benefits from diversification that can moderate volatility compared with single-stock leverage. Both vehicles demonstrate the effects of daily leverage resets, which can lead to performance divergence from simple multiples of benchmark returns over multi-week or multi-month horizons.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Professional and retail investors alike can leverage these capabilities to refine their due diligence process.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to QULL for investors seeking leveraged quality exposure. Its diversified holdings across multiple high-quality companies reduce single-name concentration risk relative to MSFU, while the quality-factor methodology offers resilience across varying market regimes. MSFU remains suitable for targeted technology leverage but carries higher idiosyncratic volatility. Selection ultimately depends on an investor’s risk tolerance and desired exposure profile.
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| MSFU | QULL | MSFU / QULL | |
| Gain YTD | -46.315 | 14.572 | -318% |
| Net Assets | 945M | 40.9M | 2,311% |
| Total Expense Ratio | 0.98 | N/A | - |
| Turnover | 0.00 | N/A | - |
| Yield | 13.70 | 0.00 | - |
| Fund Existence | 4 years | 5 years | - |
| MSFU | QULL | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 86% | 3 days ago 75% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 78% |
| Momentum ODDS (%) | 3 days ago 87% | N/A |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 67% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 80% |
| Advances ODDS (%) | 20 days ago 89% | about 1 month ago 86% |
| Declines ODDS (%) | 10 days ago 86% | N/A |
| BollingerBands ODDS (%) | 4 days ago 90% | 3 days ago 74% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| TRWCX | 27.30 | 0.39 | +1.45% |
| Transamerica International Equity C | |||
| RAFFX | 46.87 | -0.04 | -0.09% |
| American Funds AMCAP R5 | |||
| JSVPX | 30.50 | -0.11 | -0.36% |
| JPMorgan Small Cap Value R3 | |||
| MISCX | 16.72 | -0.21 | -1.24% |
| BNY Mellon Small Cap Multi-Strategy Inv | |||
| GSBAX | 20.01 | -0.38 | -1.86% |
| Goldman Sachs Small Cap Growth C | |||
A.I.dvisor indicates that over the last year, MSFU has been closely correlated with MSFT. These tickers have moved in lockstep 99% of the time. This A.I.-generated data suggests there is a high statistical probability that if MSFU jumps, then MSFT could also see price increases.
| Ticker / NAME | Correlation To MSFU | 1D Price Change % | ||
|---|---|---|---|---|
| MSFU | 100% | N/A | ||
| MSFT - MSFU | 99% Closely correlated | N/A |