Investors seeking amplified exposure to the semiconductor industry often consider leveraged exchange-traded funds (ETFs) such as SOXL and USD. These products do not compete directly with unleveraged sector funds but instead offer alternative strategies for expressing bullish views on semiconductor performance within short timeframes. Both target the same broad thematic area yet differ in leverage levels, underlying indexes, and cost structures. This comparison highlights their structural distinctions to help investors evaluate positioning in the current market environment characterized by ongoing technological innovation and sector-specific dynamics.
SOXL seeks daily investment results, before fees and expenses, of 300% of the daily performance of the NYSE Semiconductor Index. The index is a rules-based, modified float-adjusted market capitalization-weighted benchmark tracking the 30 largest U.S.-listed semiconductor companies. The fund typically holds a concentrated set of positions through derivatives, with effective exposure aligned to approximately 30 underlying names. Top holdings commonly include leaders such as NVIDIA (NVDA), Broadcom (AVGO), Micron Technology (MU), and Advanced Micro Devices (AMD). Sector allocation centers nearly 100% on semiconductors and related equipment. SOXL maintains a net expense ratio of 0.75% and operates as a leveraged, passive, thematic product using swaps and futures for synthetic replication. Daily rebalancing resets the leverage target each trading day.
USD seeks daily investment results, before fees and expenses, of 200% of the daily performance of the Dow Jones U.S. Semiconductors Index. This index measures the performance of U.S. companies in the semiconductors subsector, including producers, distributors, and related equipment providers. The fund achieves its target through a combination of swaps and other financial instruments, resulting in exposure to a similar but not identical set of semiconductor names. Prominent holdings typically feature NVIDIA (NVDA), Broadcom (AVGO), Micron Technology (MU), and Advanced Micro Devices (AMD). Nearly all assets align with the technology sector, specifically semiconductors. USD carries a net expense ratio of 0.95% and functions as a leveraged, passive product with daily rebalancing to maintain its 2x objective.
The semiconductor sector remains central to advancements in artificial intelligence, computing, automotive electronics, and consumer devices. Key catalysts include sustained capital spending by chipmakers, supply chain adjustments, and evolving demand patterns tied to technology upgrades. Macroeconomic drivers such as interest rate expectations and global trade policies influence capital allocation within the industry. Risks encompass cyclical inventory fluctuations, geopolitical tensions affecting supply chains, and regulatory scrutiny on technology exports. Both ETFs operate within this environment, where sector momentum often correlates with broader equity trends and innovation cycles rather than isolated daily events.
In recent market cycles, leveraged semiconductor ETFs have exhibited amplified responses to underlying index movements, with higher leverage correlating to greater volatility. SOXL's 3x structure typically produces larger daily swings than USD's 2x approach, affecting relative positioning during periods of sector rotation or earnings-driven shifts among top holdings. Performance dynamics connect to factors including AI-related demand growth, interest rate sensitivity, and commodity trends impacting production costs. Over broader timeframes, the daily reset mechanism introduces compounding differences that distinguish the two funds' behaviors, with SOXL generally displaying higher sensitivity to positive or negative semiconductor trends compared to the more moderate amplification in USD.
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 streamline research on leveraged ETFs and sector themes.
Based on observable factors including structural leverage efficiency, expense ratio differences, and alignment with semiconductor sector momentum, Tickeron’s AI would currently assign a probabilistic edge to SOXL for investors seeking higher-magnitude daily exposure within the theme. The lower expense ratio and greater leverage multiple support stronger potential responsiveness to favorable industry conditions, though both products carry elevated risk due to their daily-reset designs. Investors should evaluate these characteristics against personal risk tolerance and time horizon.
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| SOXL | USD | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 76% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 89% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 1 day ago 90% |
| Declines ODDS (%) | N/A | 14 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SIL | 86.63 | 0.48 | +0.56% |
| Global X Silver Miners ETF (SIL) | |||
| RSBT | 19.53 | 0.05 | +0.26% |
| Return Stacked Bonds & Managed Futures ETF (RSBT) | |||
| GRF | 9.86 | N/A | N/A |
| Eagle Capital Growth Fund | |||
| MYMF | 24.84 | N/A | N/A |
| State Street My2026 Municipal Bond ETF (MYMF) | |||
| YINN | 24.28 | -0.21 | -0.86% |
| Direxion Daily FTSE China Bull 3X ETF (YINN) | |||
A.I.dvisor indicates that over the last year, SOXL has been closely correlated with MKSI. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOXL jumps, then MKSI could also see price increases.
| Ticker / NAME | Correlation To SOXL | 1D Price Change % | ||
|---|---|---|---|---|
| SOXL | 100% | -0.01% | ||
| MKSI - SOXL | 82% Closely correlated | +0.32% | ||
| ONTO - SOXL | 82% Closely correlated | -3.60% | ||
| ASX - SOXL | 82% Closely correlated | -1.58% | ||
| TSM - SOXL | 80% Closely correlated | -0.72% | ||
| STM - SOXL | 72% Closely correlated | +1.80% | ||
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