ProShares Ultra Technology ETF (ROM) and ProShares UltraPro QQQ (TQQQ) represent two distinct leveraged approaches to gaining amplified exposure to U.S. technology and growth equities. While both target daily multiples of established benchmarks and share a common issuer, they do not compete directly. ROM concentrates exclusively on the technology sector, whereas TQQQ seeks broader Nasdaq-100 exposure. Investors evaluating these exchange-traded funds (ETFs) often compare them when seeking short-term tactical positioning within technology-driven market environments or when assessing relative leverage and diversification trade-offs.
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 employs a passive, leveraged structure that utilizes swaps, futures, and other derivatives to achieve its target exposure, with daily rebalancing to maintain the 2x ratio. It holds approximately 70–90 positions indirectly through its underlying index constituents, with top holdings typically including NVIDIA Corp. (NVDA), Apple Inc. (AAPL), Microsoft Corp. (MSFT), Broadcom Inc. (AVGO), and Advanced Micro Devices Inc. (AMD). Sector allocation is overwhelmingly concentrated in information technology, approaching 99% of assets. ROM carries a gross and net expense ratio of 0.95%. As a daily-reset leveraged product, its structural characteristics emphasize short-term precision over long-term compounding efficiency.
TQQQ seeks daily investment results, before fees and expenses, that correspond to three times (3x) the daily performance of the Nasdaq-100 Index. Like ROM, it operates as a passive, leveraged ETF using derivatives for exposure and resets daily to meet its target multiple. The underlying index includes approximately 100 large non-financial companies listed on the Nasdaq, resulting in indirect holdings that often exceed 100 positions. Prominent constituents mirror many of ROM’s top names but extend into communication services, consumer discretionary, and healthcare. Sector weights feature substantial technology exposure alongside meaningful allocations to other growth areas. TQQQ maintains a net expense ratio of 0.82%. Its structure prioritizes higher leverage within a more diversified large-cap growth universe compared to pure sector funds.
The technology sector continues to serve as a primary driver of equity market performance amid ongoing innovation in artificial intelligence, semiconductors, cloud computing, and digital infrastructure. Macroeconomic factors such as interest rate trajectories, corporate capital expenditure cycles, and regulatory scrutiny of large technology platforms influence both ETFs. Capital flows into growth-oriented strategies remain sensitive to earnings momentum among leading semiconductor and software companies. Broader risks include potential valuation compression during periods of rising rates or geopolitical supply-chain disruptions affecting hardware manufacturers. These dynamics create an environment where leveraged technology exposure can amplify both upside participation and downside volatility depending on prevailing sentiment and economic conditions.
In recent market cycles, ROM’s technology-sector focus has produced distinct volatility patterns relative to TQQQ’s broader Nasdaq-100 mandate. ROM tends to exhibit stronger sensitivity to semiconductor and software earnings seasons, while TQQQ incorporates additional influences from consumer and communication services names. Both funds demonstrate amplified responses to equity market movements due to their leverage ratios, with TQQQ’s higher multiple generally resulting in greater day-to-day price swings. Relative positioning hinges on investor views regarding pure technology outperformance versus the benefits of Nasdaq-100 diversification. During periods of sector rotation favoring mega-cap technology leaders, ROM may offer more concentrated upside capture, whereas TQQQ provides participation across a wider set of growth equities.
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Based on observable structural factors, TQQQ currently presents a marginally more balanced profile for AI-driven evaluation due to its lower net expense ratio, greater assets under management supporting liquidity, and diversified Nasdaq-100 exposure that mitigates single-sector concentration risk while still capturing substantial technology momentum. ROM offers compelling targeted leverage within pure technology but carries higher costs and narrower diversification. Probabilistic assessment favors TQQQ for investors prioritizing cost efficiency and broader trend consistency within leveraged growth strategies, subject to individual risk tolerance and time horizon considerations.
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| ROM | TQQQ | ROM / TQQQ | |
| Gain YTD | 54.486 | 41.431 | 132% |
| Net Assets | 1.37B | 39B | 4% |
| Total Expense Ratio | 0.95 | 0.82 | 116% |
| Turnover | 69.00 | 25.00 | 276% |
| Yield | 0.14 | 0.37 | 39% |
| Fund Existence | 19 years | 16 years | - |
| ROM | TQQQ | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 83% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 86% | 1 day ago 86% |
| TrendWeek ODDS (%) | 1 day ago 89% | 1 day ago 89% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 8 days ago 87% | 1 day ago 88% |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, ROM has been closely correlated with NVDA. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if ROM jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To ROM | 1D Price Change % | ||
|---|---|---|---|---|
| ROM | 100% | -8.19% | ||
| NVDA - ROM | 74% Closely correlated | -4.13% | ||
| LRCX - ROM | 73% Closely correlated | -9.33% | ||
| AVGO - ROM | 71% Closely correlated | -3.06% | ||
| MU - ROM | 70% Closely correlated | -13.18% | ||
| KLAC - ROM | 70% Closely correlated | -9.17% | ||
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