Investors seeking amplified daily exposure to U.S. equities often compare leveraged products that target different segments of the market. BULZ and SPXL both provide 3x daily leveraged returns but pursue distinct strategies: one concentrates on high-growth technology and innovation names, while the other amplifies broad large-cap market performance. This comparison highlights structural, exposure, and positioning differences relevant for tactical allocation decisions in the current environment of sector rotation and growth-stock momentum.
BULZ seeks three times the daily performance of the Solactive FANG Innovation Index before fees. The underlying index consists of 15 large-capitalization U.S. technology and innovation stocks, including eight fixed core components (Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Netflix, NVIDIA, and Tesla) plus seven additional names selected by market capitalization and liquidity criteria. The index is equally weighted, rebalanced monthly, and reconstituted quarterly. As an ETN, BULZ carries issuer credit risk from Bank of Montreal. The fund holds no underlying securities directly and charges a 0.95% expense ratio. Its concentrated profile results in dominant technology sector allocation (approximately 67-68%) with meaningful exposure to communication services and consumer cyclicals.
SPXL seeks three times the daily performance of the S&P 500 Index before fees and expenses. The fund uses swaps, futures, and other derivatives to achieve its leveraged objective and holds a diversified portfolio mirroring the approximately 500 constituents of the S&P 500. As a traditional ETF, SPXL does not carry issuer credit risk in the same manner as an ETN. The expense ratio stands at 0.84%. Sector allocations reflect the broad market, with the largest weights typically in information technology, financials, healthcare, and consumer discretionary. The fund maintains a market-capitalization-weighted approach and resets leverage daily.
Both ETFs operate within the broader U.S. large-cap equity environment, where technology and growth stocks have driven recent market cycles amid artificial intelligence adoption, semiconductor demand, and digital transformation trends. Macroeconomic factors such as interest rate expectations, corporate earnings growth, and capital flows into innovation sectors influence performance dynamics. Regulatory developments around big technology companies and potential shifts in monetary policy remain key variables affecting sector momentum and volatility across leveraged products.
In recent market cycles, BULZ has exhibited higher volatility and more pronounced moves tied to the performance of its concentrated technology holdings, particularly during periods of strong semiconductor and software earnings. SPXL has delivered leveraged returns more closely aligned with broad-market movements, showing relatively lower concentration risk but still subject to daily reset dynamics. Relative positioning favors BULZ for investors seeking amplified exposure to innovation themes and SPXL for those preferring diversified large-cap participation. Both products demonstrate amplified sensitivity to equity market direction compared with unleveraged benchmarks.
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. Professional and retail investors seeking data-driven insights may explore the platform for additional research capabilities.
Based on observable factors including lower expense ratio, broader diversification, and established ETF structure without issuer credit risk, Tickeron’s AI would currently assign a higher probabilistic preference to SPXL for investors seeking leveraged broad-market exposure. BULZ presents stronger thematic alignment with concentrated technology momentum but carries elevated concentration and structural considerations that may suit only specific tactical mandates.
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| BULZ | SPXL | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | N/A |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 89% |
| 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 88% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 7 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 16 days ago 90% | 6 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 87% | 2 days ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 84% |
| 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, 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% | +0.02% | ||
| MSFT - SPXL | 63% Loosely correlated | +0.43% | ||
| AAPL - SPXL | 62% Loosely correlated | +0.09% | ||
| AMZN - SPXL | 60% Loosely correlated | -0.37% | ||
| META - SPXL | 59% Loosely correlated | +2.63% | ||
| NVDA - SPXL | 56% Loosely correlated | +0.97% | ||
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