ROM and SOXL represent two distinct leveraged approaches to technology exposure. ROM targets twice the daily performance of a broad technology sector index, while SOXL seeks three times the daily return of a semiconductor-focused index. They do not compete directly as substitutes but instead offer investors alternative strategies for gaining amplified exposure within overlapping technology themes. This comparison highlights structural differences that matter for investors evaluating risk, cost, and thematic fit in a sector driven by semiconductor demand and broader digital transformation.
ProShares Ultra Technology (ROM) seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the S&P Technology Select Sector Index. The fund is a leveraged, passive ETF that uses derivatives including total return swaps to achieve its target multiple. It holds approximately 80 securities and maintains significant concentration in the largest technology companies. Top holdings typically include NVDA, AAPL, MSFT, and other leaders in software, hardware, and semiconductors. Sector allocation is overwhelmingly weighted toward information technology. The expense ratio is 0.95%. Rebalancing occurs daily to maintain the 2x leverage target, introducing compounding effects over multi-day periods.
Direxion Daily Semiconductor Bull 3X Shares (SOXL) seeks daily investment results, before fees and expenses, that correspond to three times (3x) the daily performance of the PHLX Semiconductor Sector Index. This leveraged ETF employs swaps and other derivatives to deliver the targeted multiple and holds roughly 30–50 positions concentrated in semiconductor companies. Prominent holdings generally feature NVDA, AMD, MU, and other chipmakers. Allocation is essentially 100% to the semiconductor industry. The net expense ratio is 0.75%. Daily rebalancing is required to reset leverage, which can lead to significant deviation from the stated multiple over longer holding periods.
The technology and semiconductor sectors continue to benefit from sustained demand for artificial intelligence infrastructure, advanced computing, and data center expansion. Capital expenditure by hyperscale cloud providers and ongoing innovation in chip design remain key catalysts. Macroeconomic factors such as interest rate expectations and global supply chain dynamics influence investor sentiment. Regulatory developments around export controls and domestic semiconductor manufacturing incentives add complexity. Both ETFs operate within this environment, where sector momentum is driven by earnings growth in leading companies and broader adoption of emerging technologies.
In recent market cycles, ROM has delivered amplified returns aligned with broad technology sector movements, reflecting its 2x structure and diversified holdings. SOXL has exhibited greater volatility due to its 3x leverage and concentrated semiconductor focus, amplifying both gains and losses during sector rotations or earnings-driven moves. Performance differences stem from leverage levels, index composition, and rebalancing mechanics. Investors using these products for tactical positioning must account for the impact of daily resets, which can cause returns to diverge substantially from the underlying index over periods longer than a single day.
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Based on structural characteristics, Tickeron’s AI would likely assign a modest preference to ROM in the current environment. Its broader technology exposure, slightly lower leverage multiple, and established liquidity profile provide a comparatively balanced risk-adjusted approach to the sector relative to SOXL’s higher leverage and narrower semiconductor concentration. This assessment reflects observable factors including diversification, cost efficiency, and trend consistency rather than any guarantee of future outcomes.
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| ROM | SOXL | ROM / SOXL | |
| Gain YTD | 43.963 | 164.478 | 27% |
| Net Assets | 1.23B | 19.9B | 6% |
| Total Expense Ratio | 0.95 | 0.75 | 127% |
| Turnover | 69.00 | 250.00 | 28% |
| Yield | 0.07 | 0.01 | 778% |
| Fund Existence | 20 years | 16 years | - |
| ROM | SOXL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 13 days ago 89% | 13 days ago 90% |
| Declines ODDS (%) | 6 days ago 87% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 87% | 2 days ago 88% |
A.I.dvisor indicates that over the last year, ROM has been loosely correlated with MKSI. These tickers have moved in lockstep 65% of the time. This A.I.-generated data suggests there is some statistical probability that if ROM jumps, then MKSI could also see price increases.
| Ticker / NAME | Correlation To ROM | 1D Price Change % | ||
|---|---|---|---|---|
| ROM | 100% | -3.59% | ||
| MKSI - ROM | 65% Loosely correlated | -3.60% | ||
| GLW - ROM | 65% Loosely correlated | -2.86% | ||
| MRVL - ROM | 63% Loosely correlated | -3.27% | ||
| GFS - ROM | 61% Loosely correlated | -4.37% | ||
| KEYS - ROM | 61% Loosely correlated | -1.73% | ||
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A.I.dvisor indicates that over the last year, SOXL has been closely correlated with ONTO. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOXL jumps, then ONTO could also see price increases.
| Ticker / NAME | Correlation To SOXL | 1D Price Change % | ||
|---|---|---|---|---|
| SOXL | 100% | -7.83% | ||
| ONTO - SOXL | 81% Closely correlated | -3.55% | ||
| ASX - SOXL | 80% Closely correlated | -0.74% | ||
| TSM - SOXL | 79% Closely correlated | -2.11% | ||
| STM - SOXL | 72% Closely correlated | -2.39% | ||
| SLAB - SOXL | 67% Closely correlated | +0.04% | ||
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