Investors seeking leveraged equity exposure often compare products that amplify market or sector returns. SPXL and TSMX both use derivatives to deliver daily multiples of underlying performance, yet they target distinctly different benchmarks. SPXL tracks a broad U.S. large-cap index, while TSMX focuses on a single leading semiconductor company. This comparison highlights structural differences, risk profiles, and positioning within current market environments where technology and semiconductor trends influence capital allocation decisions.
SPXL seeks daily investment results, before fees and expenses, of 300% of the daily performance of the S&P 500 Index. The fund employs swap agreements and other derivatives to achieve its 3x leverage and holds a non-diversified structure. It tracks approximately 500 large-cap U.S. companies with top holdings typically including major technology names such as NVIDIA, Microsoft, and Apple. Sector allocations mirror the S&P 500, with significant weights in technology, financial services, and healthcare. The expense ratio is 0.84%. As a passive leveraged product, SPXL resets exposure daily and suits short-term tactical use rather than extended holding periods.
TSMX seeks daily investment results, before fees and expenses, of 200% of the daily performance of Taiwan Semiconductor Manufacturing Co. Ltd. (TSM). The fund uses swaps and financial instruments to provide 2x leveraged exposure to this single stock and maintains a non-diversified structure with a small number of holdings dominated by derivatives. The expense ratio is 0.99%. As a single-stock leveraged ETF, TSMX offers concentrated exposure to semiconductor manufacturing trends. Like other daily-reset leveraged products, it is intended for short-term trading horizons.
The semiconductor sector continues to experience strong demand driven by artificial intelligence, data center expansion, and advanced chip manufacturing needs. Macro factors including interest rate expectations, global supply chain dynamics, and technology capital spending influence both broad equity markets and semiconductor-specific performance. Regulatory developments around export controls and geopolitical tensions in the Asia-Pacific region add volatility to TSM exposure, while broader market sentiment affects S&P 500 components. Capital flows into technology themes have supported sector momentum in recent market cycles.
In recent market cycles, SPXL has delivered amplified returns consistent with S&P 500 movements, benefiting from diversified sector participation and broad economic growth. TSMX has shown higher volatility tied to TSM-specific earnings, supply dynamics, and semiconductor demand cycles. Relative positioning favors SPXL for investors seeking broad market leverage with lower single-name concentration risk, while TSMX appeals to those targeting semiconductor outperformance. Both products exhibit compounding effects that can cause returns to deviate from stated multiples over longer periods.
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Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a higher probability of favor to SPXL. Its broader exposure across the S&P 500 reduces single-stock concentration risk compared with TSMX, while the lower expense ratio supports relative cost efficiency. TSMX offers compelling targeted leverage for semiconductor momentum but carries elevated volatility and narrower positioning.
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| SPXL | TSMX | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 82% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 88% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 12 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 3 days ago 88% | 18 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 78% |
| Aroon ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MRVU | 150.69 | 3.97 | +2.71% |
| Direxion Daily MRVL Bull 2X ETF (MRVU) | |||
| DAT | 50.97 | N/A | N/A |
| ProShares Big Data Refiners ETF (DAT) | |||
| LDDR | 74.76 | N/A | N/A |
| Stone Ridge Trust Stone Ridge 2035 Term Income ETF | |||
| GJAN | 46.07 | -0.03 | -0.06% |
| FT Vest U.S. Equity Moderate Buffer ETF - Jan (GJAN) | |||
| IBTH | 22.27 | -0.05 | -0.22% |
| iShares iBonds Dec 2027 Term Treasury ETF (IBTH) | |||
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% | +0.57% | ||
| MSFT - SPXL | 63% Loosely correlated | -0.02% | ||
| AAPL - SPXL | 62% Loosely correlated | -0.81% | ||
| AMZN - SPXL | 60% Loosely correlated | -0.37% | ||
| META - SPXL | 59% Loosely correlated | +0.10% | ||
| NVDA - SPXL | 56% Loosely correlated | +1.09% | ||
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A.I.dvisor indicates that over the last year, TSMX has been closely correlated with TSM. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSMX jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To TSMX | 1D Price Change % | ||
|---|---|---|---|---|
| TSMX | 100% | +1.43% | ||
| TSM - TSMX | 100% Closely correlated | +0.66% |