Investors seeking leveraged equity exposure often evaluate products like NUGT and SPXL to amplify returns within specific market segments. These exchange-traded funds do not compete directly but instead represent distinct leveraged strategies: one centered on global gold and silver miners and the other on the broad U.S. large-cap market. The comparison helps clarify how structural differences in benchmarks, leverage multiples, and sector exposures influence suitability for varying investor objectives in the current environment of fluctuating commodity prices and equity valuations.
NUGT is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, of 200% of the performance of the MarketVector Global Gold Miners Index. The index comprises companies deriving at least 50% of revenues or mineral resources from gold and silver mining, royalties, or streaming activities. The fund maintains approximately 11 holdings, primarily through swaps on the VanEck Gold Miners ETF (GDX) and cash equivalents, resulting in effectively 100% allocation to the materials sector. Its net expense ratio stands at 1.13%. As a passive, daily-reset product, NUGT uses derivatives to achieve the targeted leverage and resets exposure each trading day.
SPXL is a leveraged exchange-traded fund designed to deliver daily investment results, before fees and expenses, of 300% of the S&P 500 Index performance. The underlying index includes 500 leading large-cap U.S. companies selected by market capitalization, liquidity, and sector representation. The fund holds positions via swaps, securities, and other instruments tied to the index, with top exposures including major technology names such as NVIDIA, Apple, and Microsoft. It features hundreds of underlying positions and allocates across sectors led by information technology at approximately 38%. SPXL maintains a net expense ratio of 0.84% and operates as a passive, daily-reset leveraged vehicle.
Both ETFs operate within leveraged equity strategies amid ongoing macroeconomic influences, including interest rate expectations, inflation trends, and sector-specific drivers. Gold mining equities respond to precious metals price movements influenced by geopolitical developments and central bank policies, while the S&P 500 reflects broad corporate earnings, technological innovation, and economic growth cycles. Capital flows into thematic and leveraged products have remained active in recent market cycles, though regulatory scrutiny on leverage products emphasizes the importance of understanding daily reset mechanics. Risks include volatility amplification and potential divergence from benchmark returns over extended holding periods.
In recent market cycles, NUGT's performance has tracked amplified movements in gold miner equities, exhibiting higher volatility tied to commodity price swings and mining sector margins. SPXL has delivered leveraged exposure to overall S&P 500 advances, with positioning benefiting from strength in technology and growth-oriented holdings during periods of favorable earnings and market sentiment. Relative positioning shows NUGT offering concentrated thematic sensitivity, while SPXL provides broader diversification across market leaders. Both products demonstrate the effects of daily rebalancing, where holding periods beyond one day can produce returns differing substantially from the stated multiple due to volatility decay.
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. Investors seeking data-driven insights into leveraged products or sector exposures may find the platform useful for refining strategies.
Based on observable structural factors, Tickeron’s AI would likely assign a higher probabilistic preference to SPXL. Its lower expense ratio, broader diversification across the S&P 500, and alignment with large-cap equity momentum provide advantages in cost efficiency and risk distribution compared to NUGT’s higher-cost, concentrated gold miners exposure. Trend consistency and sector momentum considerations further support this relative positioning in a diversified market environment, though outcomes remain subject to prevailing economic conditions.
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.
| NUGT | SPXL | NUGT / SPXL | |
| Gain YTD | -0.257 | 28.801 | -1% |
| Net Assets | 1.22B | 6.81B | 18% |
| Total Expense Ratio | 1.13 | 0.84 | 135% |
| Turnover | 74.00 | 71.00 | 104% |
| Yield | 0.38 | 0.50 | 76% |
| Fund Existence | 16 years | 18 years | - |
| NUGT | SPXL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 5 days ago 90% | 3 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, SPXL has been loosely correlated with MSFT. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if SPXL jumps, then MSFT could also see price increases.
| Ticker / NAME | Correlation To SPXL | 1D Price Change % | ||
|---|---|---|---|---|
| SPXL | 100% | +2.43% | ||
| MSFT - SPXL | 63% Loosely correlated | +0.65% | ||
| AAPL - SPXL | 62% Loosely correlated | +1.75% | ||
| AMZN - SPXL | 60% Loosely correlated | +1.94% | ||
| META - SPXL | 59% Loosely correlated | +0.57% | ||
| NVDA - SPXL | 56% Loosely correlated | -0.03% | ||
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