These three exchange-traded funds (ETFs) represent distinct approaches to leveraged equity exposure within the U.S. market. SPUU targets broad large-cap performance via the S&P 500 Index, TARK amplifies an actively managed innovation-themed basket, and TSLL magnifies returns from a single high-profile technology stock. Investors comparing them seek to understand how structural variations in index tracking, thematic tilt, and concentration influence risk-adjusted positioning amid evolving market cycles.
SPUU seeks daily investment results, before fees and expenses, of 200% of the S&P 500 Index. It employs financial instruments such as swap agreements to achieve the target leverage. The fund holds exposure to roughly 500 large-cap U.S. companies across all sectors, with top holdings typically including major technology, financial, and healthcare names that dominate the index. Sector allocations reflect the S&P 500 composition, featuring significant weights in information technology, healthcare, financials, and consumer discretionary. The net expense ratio stands at 0.60%. As a passive leveraged product, it resets daily and suits tactical applications rather than extended holding periods.
TARK aims to deliver 200% of the daily performance of the ARK Innovation ETF (ARKK) through swap agreements. ARKK itself is an actively managed fund holding 30 to 55 companies selected for exposure to disruptive innovation themes such as genomics, fintech, and autonomous technology. This results in a concentrated portfolio tilted toward growth stocks in information technology, consumer discretionary, and healthcare. The net expense ratio is 1.48%. The fund uses synthetic exposure and is non-diversified, with daily resets that amplify both upside and downside movements relative to the underlying innovation basket.
TSLL seeks daily investment results, before fees and expenses, of 200% of the performance of Tesla Inc. (TSLA) common shares via derivatives including swaps. The fund provides single-stock leveraged exposure without diversification across multiple issuers. Its structure results in extreme concentration risk tied directly to one company’s operational and market developments. The net expense ratio is 0.83%. Like the other leveraged products, it resets daily and is intended for short-term tactical positioning rather than multi-day or longer horizons.
The ETFs operate within the broader U.S. equity market, where large-cap technology and innovation-driven companies exert substantial influence. Macroeconomic drivers including interest rate trajectories, earnings growth in technology sectors, and capital allocation toward artificial intelligence and electric vehicles shape flows into growth-oriented assets. Regulatory developments around innovation themes and geopolitical factors affecting supply chains also contribute to sector volatility. These external forces affect broad indices, thematic baskets, and individual high-growth stocks differently depending on concentration levels.
In recent market cycles, structural differences have produced varied behavior. SPUU has exhibited more stable trend consistency tied to overall large-cap movements, with lower relative volatility than the concentrated alternatives. TARK has shown amplified swings reflecting the underlying innovation theme’s sensitivity to growth sentiment and valuation shifts. TSLL has displayed the highest volatility and drawdown potential due to single-stock exposure. Performance divergences arise primarily from exposure breadth: broad market leverage tends toward smoother participation in market advances, while thematic and single-stock leverage magnifies both momentum and reversals.
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 observable structural strength, diversification profile, cost efficiency, and risk-adjusted positioning, Tickeron’s AI would currently assign the highest probabilistic favorability to SPUU. Its broad S&P 500 exposure combined with the lowest expense ratio among the group provides more balanced participation in market cycles with comparatively moderated concentration risk relative to the thematic and single-stock alternatives.
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| SPUU | TARK | TSLL | |
| Gain YTD | 21.051 | 11.856 | -48.819 |
| Net Assets | 289M | 24.4M | 3.84B |
| Total Expense Ratio | 0.60 | 1.48 | 0.83 |
| Turnover | 37.00 | 0.00 | 101.00 |
| Yield | 0.43 | 0.00 | 3.84 |
| Fund Existence | 12 years | 4 years | 4 years |
| SPUU | TARK | TSLL | |
|---|---|---|---|
| RSI ODDS (%) | 5 days ago 83% | 3 days ago 90% | N/A |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 87% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 88% | 3 days ago 88% | 3 days ago 85% |
| MACD ODDS (%) | 3 days ago 87% | 3 days ago 90% | N/A |
| TrendWeek ODDS (%) | 3 days ago 82% | 3 days ago 90% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 85% | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 3 days ago 88% | 3 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 5 days ago 81% | 5 days ago 90% | 6 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 89% | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 88% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MAXI | 14.60 | 1.73 | +13.44% |
| Simplify Bitcoin Strategy ETF (MAXI) | |||
| BFJL | 18.54 | N/A | N/A |
| FT Vest Bitcoin Strategy Floor15 ETF - July | |||
| TLTW | 21.01 | -0.08 | -0.38% |
| iShares 20+ Year Treasury Bond BuyWrite Strategy ETF (TLTW) | |||
| FLV | 84.09 | -0.34 | -0.40% |
| American Century Focused Large Cap Value ETF (FLV) | |||
| BILT | 26.65 | -0.27 | -1.00% |
| iShares Infrastructure Active ETF (BILT) | |||
A.I.dvisor indicates that over the last year, TSLL has been closely correlated with TSLA. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSLL jumps, then TSLA could also see price increases.
| Ticker / NAME | Correlation To TSLL | 1D Price Change % | ||
|---|---|---|---|---|
| TSLL | 100% | -0.82% | ||
| TSLA - TSLL | 100% Closely correlated | -0.53% |