Investors comparing LABU and SSO encounter two distinct leveraged exchange-traded funds (ETFs) that amplify daily returns through derivatives. These products do not compete directly; instead, they represent alternative leveraged strategies—one concentrated in biotechnology and the other spanning the broad U.S. large-cap market. The comparison helps investors evaluate structural differences in exposure, risk amplification, and alignment with sector-specific versus market-wide objectives in varying market cycles.
The Direxion Daily S&P Biotech Bull 3X Shares (LABU) seeks daily investment results, before fees and expenses, equal to 300% of the S&P Biotechnology Select Industry Index. This index tracks U.S. biotechnology companies using an equal-weighted methodology. The ETF typically holds around 100-160 positions through synthetic instruments such as total return swaps. Top holdings often include companies like Moderna, Revolution Medicines, and Vaxcyte. Sector allocation concentrates almost entirely in biotechnology and related life sciences. The expense ratio is approximately 0.93%. As a leveraged thematic product with daily rebalancing, it exhibits significant volatility and compounding effects over multiple periods.
The ProShares Ultra S&P500 (SSO) targets daily investment results, before fees and expenses, of 200% of the S&P 500 Index. It provides leveraged exposure to approximately 500 large-cap U.S. companies across sectors including technology, healthcare, financials, and consumer discretionary. The fund uses swaps, futures, and treasury instruments for synthetic replication. Top holdings mirror S&P 500 leaders such as Nvidia, Apple, and Microsoft. The expense ratio stands at approximately 0.87%. Daily resets and 2x leverage amplify market movements while maintaining broader diversification than sector-specific products.
The biotechnology sector, central to LABU, experiences catalysts from clinical trial results, regulatory approvals, and innovation in areas such as gene therapy and oncology. Macroeconomic factors including interest rate expectations influence funding availability and valuations for growth-oriented biotech firms. Meanwhile, the broad U.S. equity market underlying SSO responds to corporate earnings cycles, economic growth indicators, and shifts in monetary policy. Both environments carry risks from volatility spikes, regulatory changes, and capital flow rotations between defensive and growth assets.
In recent market cycles, LABU has demonstrated amplified responses to biotechnology-specific developments such as earnings reports from key holdings and sector rotation driven by innovation pipelines. Its 3x leverage heightens sensitivity to both positive catalysts and setbacks. SSO has reflected broader equity trends, with performance tied to large-cap earnings strength and overall market sentiment. The 2x structure provides magnified but comparatively moderated volatility relative to LABU. Relative positioning favors SSO during broad market advances and LABU during biotechnology outperformance phases.
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.
Based on structural characteristics including broader diversification, slightly lower expense ratio, and alignment with sustained large-cap equity momentum, Tickeron’s AI would currently assign a higher probability of favorable positioning to SSO over LABU in the prevailing environment. This assessment considers factors such as cost efficiency, risk dispersion across sectors, and consistency of trend exposure.
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| LABU | SSO | LABU / SSO | |
| Gain YTD | 66.886 | 18.756 | 357% |
| Net Assets | 522M | 8.91B | 6% |
| Total Expense Ratio | 0.96 | 0.87 | 110% |
| Turnover | 107.00 | 12.00 | 892% |
| Yield | 0.34 | 0.64 | 53% |
| Fund Existence | 11 years | 20 years | - |
| LABU | SSO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| Advances ODDS (%) | 10 days ago 90% | 9 days ago 90% |
| Declines ODDS (%) | 2 days ago 90% | 2 days ago 84% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| USML | 47.26 | N/A | N/A |
| ETRACS 2x Lvrgd MSCI US Mn Vl Fct TR ETN | |||
| SHYD | 22.31 | -0.08 | -0.36% |
| VanEck Short High Yield Muni ETF | |||
| AFSM | 39.68 | -0.35 | -0.89% |
| First Trust Active Factor Small Cap ETF | |||
| BABW | 19.86 | -0.23 | -1.12% |
| Roundhill BABA WeeklyPay ETF | |||
| PICK | 63.26 | -3.11 | -4.69% |
| iShares MSCI Global Mtls&Mng Prdcrs ETF | |||
A.I.dvisor indicates that over the last year, LABU has been loosely correlated with PRME. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if LABU jumps, then PRME could also see price increases.
| Ticker / NAME | Correlation To LABU | 1D Price Change % | ||
|---|---|---|---|---|
| LABU | 100% | -4.67% | ||
| PRME - LABU | 62% Loosely correlated | -3.46% | ||
| RCUS - LABU | 59% Loosely correlated | -8.21% | ||
| PGEN - LABU | 57% Loosely correlated | -1.76% | ||
| LYEL - LABU | 57% Loosely correlated | -5.28% | ||
| LGND - LABU | 56% Loosely correlated | +0.42% | ||
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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% | -1.23% | ||
| MSFT - SSO | 63% Loosely correlated | +0.16% | ||
| AAPL - SSO | 62% Loosely correlated | +3.56% | ||
| AMZN - SSO | 60% Loosely correlated | -0.20% | ||
| NVDA - SSO | 56% Loosely correlated | -2.26% |