These three leveraged exchange-traded funds (ETFs) warrant comparison because they represent tiered risk exposures to equity markets through daily leveraged strategies. SPXL and TQQQ provide amplified daily returns on established broad and growth indexes, respectively, while TSMX applies leverage to an individual semiconductor leader. They do not track identical benchmarks but compete as tactical tools within the leveraged equity category, allowing investors to express views on U.S. large-cap performance, technology sector momentum, or specific semiconductor supply-chain dynamics.
SPXL seeks daily investment results, before fees and expenses, of 300% of the daily performance of the S&P 500 Index. The fund employs swaps, futures, and other derivatives to achieve this 3x leverage and holds a diversified portfolio of approximately 500 large-cap U.S. equities. Top holdings typically include major technology names such as NVIDIA, Apple, and Microsoft, with sector allocations heaviest in technology, financial services, and healthcare. The net expense ratio stands at 0.84%. As a passive, leveraged product, it rebalances daily to maintain the target multiple and suits short-term tactical use rather than long-term buy-and-hold strategies.
TQQQ seeks daily investment results, before fees and expenses, of 300% of the daily performance of the Nasdaq-100 Index. It uses derivatives to deliver the 3x multiplier and maintains exposure to roughly 100 non-financial companies listed on Nasdaq. Holdings concentrate in technology, consumer discretionary, and communication services, with leading positions in NVIDIA, Apple, Microsoft, Amazon, and Alphabet. The net expense ratio is 0.82%. This passive leveraged structure requires daily rebalancing and appeals to investors seeking magnified exposure to growth-oriented technology equities.
TSMX seeks daily investment results, before fees and expenses, of 200% of the daily performance of the common shares of Taiwan Semiconductor Manufacturing Co., Ltd. (TSM). The fund utilizes swaps and other instruments to achieve 2x leverage on this single security. Holdings consist primarily of derivatives and cash equivalents, resulting in effectively one underlying equity exposure. The expense ratio is 0.99%. Launched in October 2024, this passive single-stock leveraged ETF demands daily monitoring due to compounding effects and targets investors with specific views on semiconductor manufacturing dynamics.
The semiconductor and broader technology sectors continue to influence capital flows amid ongoing innovation in artificial intelligence, advanced chip manufacturing, and global supply-chain adjustments. Macroeconomic drivers such as interest-rate expectations, corporate capital expenditure trends, and geopolitical tensions around Taiwan shape sentiment. Earnings growth among leading semiconductor firms remains a focal point, supported by demand for high-performance computing components, while regulatory scrutiny and export controls introduce periodic volatility. These factors affect all three ETFs through their varying degrees of technology and semiconductor exposure.
In recent market cycles, the broader diversification of SPXL has contributed to more stable trend consistency relative to the concentrated technology focus of TQQQ. TSMX, with its single-security 2x structure, exhibits higher volatility and greater sensitivity to company-specific news and sector swings. Drawdowns in leveraged products amplify during periods of elevated market turbulence, with daily rebalancing creating path-dependent outcomes. Performance differences stem primarily from exposure breadth—SPXL benefits from S&P 500 balance, TQQQ from Nasdaq-100 growth tilt, and TSMX from concentrated semiconductor leverage—rather than short-term price fluctuations.
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. Explore the AI Screener to uncover data-driven insights across leveraged and thematic ETFs.
Tickeron’s AI would currently assign the highest probability of favorable risk-adjusted positioning to SPXL. Its broad S&P 500 exposure, combined with 3x daily leverage and lower concentration risk than single-stock or sector-specific peers, supports more consistent momentum stability and cost efficiency over varying market regimes. TQQQ offers strong thematic alignment with technology growth but carries elevated volatility from its narrower holdings. TSMX provides targeted 2x exposure yet faces the greatest concentration and liquidity considerations inherent to single-security leverage.
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| SPXL | TQQQ | TSMX | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 85% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 89% | 1 day ago 89% | 1 day ago 86% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 89% | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 9 days ago 88% | 15 days ago 88% | 1 day ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 89% |
| Aroon ODDS (%) | 1 day ago 83% | 1 day ago 88% | 1 day ago 90% |
| 1 Day | |||
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| HEMI | 41.95 | N/A | N/A |
| Hartford Equity Premium Income ETF (HEMI) | |||
| BCD | 38.88 | -0.10 | -0.26% |
| abrdn Bloomberg All Commodity Longer Dated Strategy K-1 Free ETF (BCD) | |||
| PFFA | 19.45 | -0.29 | -1.47% |
| Virtus InfraCap U.S. Preferred Stock ETF (PFFA) | |||
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% | -0.77% | ||
| MSFT - SPXL | 63% Loosely correlated | +0.09% | ||
| AAPL - SPXL | 62% Loosely correlated | +0.91% | ||
| AMZN - SPXL | 60% Loosely correlated | +1.42% | ||
| META - SPXL | 59% Loosely correlated | -2.38% | ||
| NVDA - SPXL | 56% Loosely correlated | -0.74% | ||
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A.I.dvisor tells us that TSMX and TSM have been poorly correlated (+-16% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that TSMX and TSM's prices will move in lockstep.
| Ticker / NAME | Correlation To TSMX | 1D Price Change % | ||
|---|---|---|---|---|
| TSMX | 100% | -4.12% | ||
| TSM - TSMX | -16% Poorly correlated | -2.09% |