Investors evaluating leveraged technology exposure often compare BULZ and QLD because both products amplify daily returns from prominent U.S. growth equities. They do not compete directly as identical strategies; instead, they represent alternative leveraged approaches within the technology sector. BULZ offers concentrated 3x exposure to a select group of FANG and innovation names, while QLD provides 2x exposure to the broader Nasdaq-100 Index. This distinction makes the pair relevant for investors seeking different degrees of magnification and diversification within similar market themes.
BULZ seeks three times (3x) the daily performance, before fees, of the Solactive FANG Innovation Index. The index comprises 15 large-capitalization U.S. technology stocks, including eight core components (Alphabet, Amazon, Apple, Meta, Microsoft, Netflix, NVIDIA, and Tesla) plus seven additional names selected by market capitalization and liquidity criteria. Holdings are equally weighted and rebalanced monthly with quarterly reconstitution. The product is structured as an exchange-traded note (ETN) issued by Bank of Montreal, carries a 0.95% expense ratio, and contains no dividends. Its concentrated equal-weighted approach emphasizes semiconductors, software, and internet services.
QLD seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the Nasdaq-100 Index. The underlying index includes the 100 largest non-financial companies listed on Nasdaq, spanning technology, consumer discretionary, communication services, and healthcare. QLD achieves its leverage primarily through total return swaps and other derivatives rather than physical replication. It operates as an open-end ETF with a 0.95% net expense ratio, quarterly distributions, and approximately 100 underlying index constituents. The product offers broader sector diversification than single-theme leveraged vehicles while maintaining significant technology weighting.
Both ETFs operate within the technology and growth equity ecosystem, which continues to benefit from artificial intelligence adoption, semiconductor demand, cloud computing expansion, and digital transformation trends. Macroeconomic factors such as interest rate expectations, corporate earnings growth in mega-cap technology names, and capital expenditure cycles in hardware and software influence performance. Regulatory developments around antitrust scrutiny of large technology platforms and potential shifts in global supply chains for semiconductors represent ongoing considerations. Sector risks include elevated valuations, competitive pressures, and sensitivity to changes in monetary policy.
In recent market cycles, the higher leverage factor in BULZ has produced more pronounced daily moves compared with the 2x structure of QLD. During periods of sustained upward momentum in technology leaders, BULZ’s concentrated equal-weighted exposure has amplified returns relative to broader benchmarks, while drawdowns have also been sharper. QLD’s broader Nasdaq-100 composition has delivered more moderated volatility and smoother participation across multiple growth sectors. Relative positioning favors BULZ for investors targeting maximum daily amplification within a narrow innovation theme and QLD for those preferring diversified leveraged exposure with potentially lower single-stock concentration risk.
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. Investors seeking data-driven comparisons between leveraged products such as BULZ and QLD may find the platform useful for ongoing monitoring.
Based on structural characteristics including expense efficiency relative to leverage multiple, broader diversification through the Nasdaq-100 Index, and established liquidity profile, Tickeron’s AI would currently assign a higher probabilistic preference to QLD for most tactical leveraged exposure scenarios. The 2x daily target combined with wider sector representation offers a balanced risk profile compared with the more concentrated 3x ETN structure of BULZ, though individual investor objectives and risk tolerance remain the decisive factors.
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| BULZ | QLD | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 79% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 86% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 89% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 7 days ago 90% | 8 days ago 89% |
| Declines ODDS (%) | 16 days ago 90% | 1 day ago 87% |
| BollingerBands ODDS (%) | 1 day ago 87% | 1 day ago 88% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| EPI | 40.83 | 0.67 | +1.67% |
| WisdomTree India Earnings Fund (EPI) | |||
| DJUN | 50.66 | N/A | +0.01% |
| FT Vest U.S. Equity Deep Buffer ETF - June (DJUN) | |||
| GRPZ | 31.06 | N/A | N/A |
| Invesco S&P SmallCap 600 GARP ETF (GRPZ) | |||
| ZMAR | 28.74 | N/A | N/A |
| Innovator 1 Yr March (ZMAR) | |||
| OCTM | 34.29 | N/A | -0.01% |
| FT Vest U.S. Equity Max Buffer ETF - October (OCTM) | |||
A.I.dvisor indicates that over the last year, BULZ has been closely correlated with ADBE. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if BULZ jumps, then ADBE could also see price increases.
| Ticker / NAME | Correlation To BULZ | 1D Price Change % | ||
|---|---|---|---|---|
| BULZ | 100% | +1.29% | ||
| ADBE - BULZ | 80% Closely correlated | -0.78% | ||
| ORCL - BULZ | 60% Loosely correlated | +4.23% | ||
| META - BULZ | 43% Loosely correlated | +2.63% | ||
| MSFT - BULZ | 10% Poorly correlated | +0.43% | ||
| CRM - BULZ | 8% Poorly correlated | +1.75% | ||
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A.I.dvisor indicates that over the last year, QLD has been loosely correlated with SWKS. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if QLD jumps, then SWKS could also see price increases.
| Ticker / NAME | Correlation To QLD | 1D Price Change % | ||
|---|---|---|---|---|
| QLD | 100% | -0.66% | ||
| SWKS - QLD | 61% Loosely correlated | +2.49% | ||
| ZM - QLD | 56% Loosely correlated | +0.22% | ||
| DOCU - QLD | 41% Loosely correlated | +1.89% | ||
| ALGN - QLD | 39% Loosely correlated | +2.22% | ||
| OKTA - QLD | 38% Loosely correlated | -0.24% | ||
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