RETL and TQQQ represent leveraged strategies that appeal to investors seeking amplified daily exposure to specific market segments. They do not compete directly as substitutes but instead offer differentiated approaches to growth-oriented themes: RETL concentrates on U.S. retail equities, while TQQQ delivers leveraged access to leading technology and consumer discretionary companies within the Nasdaq-100. Investors comparing these ETFs typically evaluate sector rotation opportunities, risk tolerance for daily-reset leverage, and alignment with prevailing economic conditions affecting consumer spending versus technology innovation cycles.
RETL is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, equal to 300% of the performance of the S&P Retail Select Industry Index. The underlying index tracks an equal-weighted basket of U.S.-listed retail companies across sub-sectors such as automotive retail, specialty retail, apparel, broadline, and food retail. The ETF typically holds around 78 positions derived from the index constituents. Sector allocations are heavily weighted toward consumer discretionary (approximately 77%) and consumer staples (approximately 19%), with negligible exposure elsewhere. RETL carries a gross expense ratio of 0.96%. As a passive, rules-based leveraged product, it employs derivatives and daily rebalancing to achieve its 3x target, introducing compounding effects that make it suitable primarily for short-term tactical use rather than extended holding periods.
TQQQ is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, equal to 300% of the performance of the Nasdaq-100 Index. The benchmark comprises the 100 largest non-financial companies listed on the Nasdaq exchange, with heavy representation in technology, consumer discretionary, and communication services. TQQQ maintains exposure through approximately 100-126 holdings via swaps and other derivatives, resulting in concentrated top positions that mirror the index leaders. Sector allocations are dominated by technology (typically over 60%) and consumer discretionary. The fund’s net expense ratio is 0.82%. Like other daily-reset leveraged products, TQQQ uses financial instruments and rebalancing mechanics to deliver its multiple, leading to volatility decay over multi-day periods outside of strong trending markets.
The retail sector underlying RETL is influenced by consumer spending patterns, employment trends, inflation dynamics, and shifts between in-store and e-commerce channels. Macroeconomic factors such as interest-rate expectations and disposable income levels act as primary drivers. In contrast, the Nasdaq-100 ecosystem supporting TQQQ responds to technology earnings growth, artificial intelligence adoption, semiconductor cycles, regulatory developments in big tech, and capital expenditure trends among growth companies. Both sectors face risks from broader equity market corrections, but retail exhibits greater sensitivity to economic slowdowns while technology demonstrates resilience through innovation cycles. Capital flows into these areas reflect investor positioning around cyclical recovery versus secular growth narratives.
In recent market cycles, RETL has shown pronounced sensitivity to retail earnings reports and consumer confidence data, often amplifying moves in its underlying equal-weighted retail basket. TQQQ has exhibited stronger correlation with technology earnings seasons and growth-stock rotations, delivering magnified returns during periods of Nasdaq-100 leadership. Relative positioning highlights RETL’s narrower thematic focus versus TQQQ’s broader diversification within high-growth equities. Both products demonstrate elevated volatility compared with unleveraged counterparts due to the 3x daily objective and rebalancing process, with differences arising from sector-specific catalysts rather than isolated price fluctuations.
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 insights into leveraged products like RETL and TQQQ may find the platform’s pattern-recognition capabilities particularly useful for evaluating entry and exit points across sectors.
Based on observable structural characteristics, TQQQ currently presents a more diversified exposure profile within a high-momentum technology sector, combined with a modestly lower net expense ratio and greater liquidity characteristics. RETL offers targeted retail-sector leverage but carries higher concentration risk tied to consumer discretionary cycles. Tickeron’s AI would likely assign a probabilistic edge to TQQQ for investors seeking broad leveraged growth exposure in the prevailing environment, while acknowledging that suitability depends on individual risk parameters and time horizon.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| RETL | TQQQ | RETL / TQQQ | |
| Gain YTD | -1.649 | 42.728 | -4% |
| Net Assets | 35.3M | 35.1B | 0% |
| Total Expense Ratio | 0.96 | 0.82 | 117% |
| Turnover | 71.00 | 25.00 | 284% |
| Yield | 0.63 | 0.37 | 169% |
| Fund Existence | 16 years | 16 years | - |
| RETL | TQQQ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 12 days ago 90% |
| Declines ODDS (%) | 11 days ago 90% | 3 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, RETL has been closely correlated with CAL. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if RETL jumps, then CAL could also see price increases.
| Ticker / NAME | Correlation To RETL | 1D Price Change % | ||
|---|---|---|---|---|
| RETL | 100% | -2.70% | ||
| CAL - RETL | 72% Closely correlated | -3.86% | ||
| UPBD - RETL | 67% Closely correlated | +1.17% | ||
| SHOE - RETL | 66% Loosely correlated | -2.41% | ||
| GAP - RETL | 65% Loosely correlated | -3.35% | ||
| SIG - RETL | 65% Loosely correlated | -1.72% | ||
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