Investors seeking amplified equity exposure often compare leveraged products that target similar benchmarks or themes. BULZ, SPXL, and SSO represent distinct approaches to leveraged U.S. equity strategies. BULZ focuses on a narrow FANG and innovation theme with 3x daily leverage, while SPXL and SSO apply 3x and 2x leverage, respectively, to the broad S&P 500 Index. These ETFs compete in the leveraged equities category, offering tiered risk exposures suited to tactical trading in equity markets.
BULZ seeks 3x daily performance, before fees, of the Solactive FANG Innovation Index. The index comprises 15 large-capitalization U.S. technology stocks, including eight fixed core components—Alphabet, Amazon, Apple, Meta (formerly Facebook), Microsoft, Netflix, NVIDIA, and Tesla—plus seven additional names selected by methodology. The product is structured as an exchange-traded note (ETN) issued by Bank of Montreal, with no underlying holdings. It carries a 0.95% expense ratio and resets daily. Distinguishing features include high thematic concentration in technology and innovation sectors and ETN credit risk tied to the issuer.
SPXL aims for 3x daily results, before fees and expenses, of the S&P 500 Index through derivatives such as swaps and futures. The S&P 500 Index tracks 500 leading large-cap U.S. companies across multiple sectors. As an open-ended exchange-traded fund (ETF), SPXL holds no direct equity positions but uses financial instruments to achieve leverage. The expense ratio is 0.84%, with daily rebalancing. Key characteristics include broad sector diversification mirroring the S&P 500 and suitability for short-term tactical use rather than buy-and-hold strategies.
SSO targets 2x daily performance, before fees, of the S&P 500 Index via total return swaps and futures contracts backed by cash equivalents. The underlying index covers 500 large- and mid-cap U.S. issuers. Structured as an exchange-traded fund (ETF), it features an expense ratio of 0.87% and daily resets. Distinguishing elements include moderate leverage relative to 3x peers, broad market-cap-weighted exposure across sectors, and synthetic replication that avoids direct stock ownership.
The U.S. large-cap equity market, particularly technology and innovation segments, continues to influence capital flows amid evolving macroeconomic conditions. Earnings growth in major technology firms, regulatory developments in antitrust and data privacy, and geopolitical tensions affecting global supply chains remain key drivers. Broader sector risks include interest-rate sensitivity, valuation compression in high-growth areas, and shifts in investor risk appetite during periods of economic uncertainty. These factors affect thematic concentration in innovation names as well as broad large-cap benchmarks.
In recent market cycles, the 3x products BULZ and SPXL have exhibited higher volatility and larger drawdowns during equity corrections compared to the 2x SSO, reflecting differences in leverage magnitude. BULZ’s thematic tilt toward FANG and innovation stocks has driven greater sensitivity to technology-specific momentum and sector rotations. SPXL’s broad S&P 500 exposure provides more balanced participation across market leadership shifts, while SSO offers scaled exposure with comparatively moderated amplification of daily moves. Performance differentials arise primarily from leverage levels, concentration profiles, and the daily reset mechanism inherent to all three leveraged structures.
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.
Tickeron’s AI would currently assign the highest probabilistic favorability to SSO based on its structural balance of moderate 2x leverage, broad S&P 500 diversification, and cost efficiency, which together support more stable risk-adjusted positioning relative to higher-leverage or concentrated alternatives in varied market environments.
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| BULZ | SPXL | SSO | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 89% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 88% | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Declines ODDS (%) | 9 days ago 90% | 7 days ago 88% | 7 days ago 84% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 87% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 86% | 1 day ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PRFZ | 53.61 | 0.41 | +0.77% |
| Invesco RAFI US 1500 Small-Mid ETF (PRFZ) | |||
| CAFG | 32.11 | 0.22 | +0.69% |
| Pacer US Small Cap Cash Cows Growth Leaders ETF (CAFG) | |||
| TIER | 32.39 | 0.21 | +0.66% |
| T. Rowe Price International Equity Research ETF | |||
| RNTY | 46.07 | 0.15 | +0.33% |
| Yieldmax Target 12 Real Estate Option Income ETF | |||
| DCRE | 50.81 | 0.03 | +0.06% |
| DoubleLine Commercial Real Estate Debt ETF (DCRE) | |||
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% | +1.31% | ||
| ADBE - BULZ | 80% Closely correlated | +0.46% | ||
| ORCL - BULZ | 60% Loosely correlated | +0.13% | ||
| META - BULZ | 11% Poorly correlated | +1.90% | ||
| MSFT - BULZ | 10% Poorly correlated | +1.48% | ||
| CRM - BULZ | 8% Poorly correlated | -2.09% | ||
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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% | +2.05% | ||
| MSFT - SPXL | 63% Loosely correlated | +1.48% | ||
| AAPL - SPXL | 62% Loosely correlated | -0.24% | ||
| AMZN - SPXL | 60% Loosely correlated | -0.05% | ||
| META - SPXL | 59% Loosely correlated | +1.90% | ||
| NVDA - SPXL | 56% Loosely correlated | +2.12% | ||
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A.I.dvisor indicates that over the last year, SSO 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 SSO jumps, then MSFT could also see price increases.
| Ticker / NAME | Correlation To SSO | 1D Price Change % | ||
|---|---|---|---|---|
| SSO | 100% | +1.35% | ||
| MSFT - SSO | 63% Loosely correlated | +1.48% | ||
| AAPL - SSO | 62% Loosely correlated | -0.24% | ||
| AMZN - SSO | 60% Loosely correlated | -0.05% | ||
| NVDA - SSO | 56% Loosely correlated | +2.12% |