MSFU, NVDL, and QULL represent distinct approaches to leveraged exposure within the technology and growth equity space. MSFU and NVDL provide 2x daily results tied to single large-cap technology stocks, while QULL delivers 2x leveraged exposure to a multi-factor quality index. These products compete for investors seeking amplified returns from artificial intelligence and semiconductor trends but differ in diversification, structure, and risk parameters. The comparison highlights how single-stock leverage versus factor-based leverage influences performance dynamics and suitability across market cycles.
MSFU seeks daily investment results, before fees and expenses, of 200% of the daily performance of Microsoft Corporation (MSFT). The fund holds a concentrated portfolio centered on MSFT exposure through derivatives and is rebalanced daily to maintain the target leverage. It tracks no traditional index but follows a single-stock leveraged objective. The expense ratio stands at 0.98%. As a Direxion product, MSFU employs swap agreements and other instruments to achieve its 2x daily target, resulting in elevated volatility relative to the underlying stock. The structure suits short-term trading horizons where daily reset mechanics align with market movements.
NVDL aims to deliver 200% of the daily performance of NVIDIA Corporation (NVDA), before fees and expenses. Like MSFU, it maintains daily leverage through derivatives and resets exposure each trading day. The fund does not track a broad index and features minimal holdings beyond its leveraged NVDA position. Its expense ratio is 1.05%. GraniteShares designed NVDL for active traders seeking amplified short-term moves in the semiconductor leader. Daily rebalancing and the use of financial instruments distinguish its construction from unleveraged equity ETFs.
QULL provides 2x leveraged long exposure to the compounded quarterly performance of the MSCI USA Sector Neutral Quality GR USD Index, less financing costs and tracking fees. As an exchange-traded note (ETN) issued by UBS, it differs structurally from traditional ETFs by relying on the issuer’s credit rather than holding underlying assets. The expense ratio is 0.95%. The product resets leverage periodically and targets companies exhibiting strong quality characteristics such as high return on equity and low debt. This broader factor exposure contrasts with the single-stock focus of the other two products.
The technology sector, particularly semiconductors and software, continues to attract capital flows driven by artificial intelligence adoption and enterprise digital transformation. Earnings growth among leading chipmakers and cloud providers has supported investor interest, though regulatory scrutiny around antitrust and export controls introduces periodic headwinds. Macroeconomic factors including interest rate expectations and global supply chain resilience influence sentiment across these holdings. Quality factors have gained attention as investors seek resilient balance sheets amid economic uncertainty, while single-stock products remain sensitive to company-specific developments such as product cycles and competitive positioning.
In recent months, the three products have exhibited distinct volatility profiles tied to their underlying exposures. MSFU and NVDL have shown heightened sensitivity to movements in their respective single stocks, leading to sharper drawdowns during sector rotations. QULL’s factor-based construction has provided somewhat broader participation across quality names, potentially moderating extreme daily swings relative to pure single-stock leverage. Performance divergences arise primarily from concentration risk and the daily reset mechanism, which can amplify or erode returns over multi-day periods depending on trend consistency. Investors have positioned these vehicles for short-term tactical views on technology momentum rather than long-term core allocations.
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Based on structural strength, QULL currently presents a probabilistic edge through its diversified quality factor exposure and marginally lower expense ratio, which may support more stable risk-adjusted positioning across market cycles compared with the higher concentration risks of the single-stock leveraged products. MSFU and NVDL offer targeted amplification but carry greater idiosyncratic volatility. Tickeron’s AI would assign higher probability to QULL for investors prioritizing breadth within the leveraged growth theme.
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| MSFU | NVDL | QULL | |
| Gain YTD | -41.969 | -3.500 | 14.572 |
| Net Assets | 776M | 3.53B | 40.9M |
| Total Expense Ratio | 0.98 | 1.05 | N/A |
| Turnover | 0.00 | 10597.00 | N/A |
| Yield | 13.70 | 0.00 | 0.00 |
| Fund Existence | 4 years | 4 years | 5 years |
| MSFU | NVDL | QULL | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% | N/A |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 81% | N/A |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 86% | N/A |
| TrendWeek ODDS (%) | 1 day ago 89% | 1 day ago 90% | 1 day ago 81% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 79% |
| Advances ODDS (%) | 18 days ago 89% | N/A | N/A |
| Declines ODDS (%) | N/A | 1 day ago 85% | N/A |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 90% | N/A |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 81% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| KBWP | 136.26 | 1.30 | +0.96% |
| Invesco KBW Property & Casualty Ins ETF | |||
| FGD | 34.05 | 0.18 | +0.53% |
| First Trust Dow Jones Global Sel Div ETF | |||
| XPND | 37.63 | 0.06 | +0.15% |
| First Trust Expanded Technology ETF | |||
| LITL | 33.63 | -0.06 | -0.17% |
| Simplify Piper Sandler Us Small-Cap Plus Income ETF | |||
| WMSB | 24.96 | -0.05 | -0.20% |
| Weitz Multisector Bond ETF | |||
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% | +3.80% | ||
| MSFT - MSFU | 99% Closely correlated | +1.94% |