Investors seeking downside protection or tactical bearish exposure in technology-related assets frequently evaluate inverse exchange-traded funds. SQQQ and TSLS do not compete directly; instead, they represent alternative strategies that target overlapping investor objectives of profiting from declines in high-growth equities. SQQQ addresses broad Nasdaq-100 weakness, while TSLS isolates exposure to one prominent constituent. Their differing leverage levels, scope, and structural features make them relevant for comparison in environments characterized by sector rotation, earnings volatility, and shifting macroeconomic conditions.
SQQQ seeks daily investment results, before fees and expenses, that correspond to three times the inverse (-3x) of the daily performance of the Nasdaq-100 Index. The fund employs a passive, leveraged-inverse strategy implemented primarily through total return swaps and futures contracts rather than direct short sales of underlying securities. It holds a modest number of portfolio positions, typically around 20 instruments including cash equivalents and derivatives. Sector exposure mirrors the underlying index, with heavy weighting toward information technology (approximately 59%) and communication services. The net expense ratio stands at 0.95%. Rebalancing occurs daily to maintain the target multiple. The fund’s synthetic structure and high trading volume support strong liquidity for institutional and retail participants.
TSLS seeks daily investment results, before fees and expenses, of 100% of the inverse (opposite) of the daily performance of Tesla, Inc. common stock. The fund pursues a passive, single-stock inverse strategy through swap agreements collateralized by short-term government securities and money-market instruments. Its portfolio typically contains fewer than 15 holdings, dominated by cash equivalents that back the derivatives exposure. The strategy focuses exclusively on the consumer-discretionary automobile-manufacturing niche. The net expense ratio is 0.95%. Daily rebalancing resets the -1x multiple. Lower assets under management and trading volume result in comparatively modest liquidity relative to broader inverse products.
Both ETFs operate within the technology and consumer-discretionary sectors, which remain sensitive to interest-rate expectations, earnings growth trajectories of leading companies, and broader capital-flow trends. Macroeconomic drivers such as Federal Reserve policy, inflation data, and supply-chain developments continue to influence equity valuations. Regulatory scrutiny around electric-vehicle incentives and artificial-intelligence investment intensity represents ongoing sector risks. Capital continues to rotate between growth and value styles, creating intermittent demand for inverse vehicles as hedging tools. These durable characteristics sustain relevance for tactical inverse exposure regardless of short-term market fluctuations.
Over recent market cycles, SQQQ has delivered amplified daily moves aligned with Nasdaq-100 reversals, benefiting from broad technology-sector weakness but incurring greater volatility due to the 3x multiple. TSLS has tracked single-stock movements in TSLA with unleveraged inverse results, resulting in more contained daily swings yet pronounced compounding effects during high-volatility periods. Relative positioning favors SQQQ for investors seeking diversified exposure to multiple technology names, while TSLS suits those with concentrated views on one company’s trajectory. Both products exhibit path dependency, making multi-day holding periods subject to deviation from target multiples amid earnings cycles and interest-rate shifts.
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. Explore opportunities with the AI Screener.
Based on structural breadth, diversification across approximately 100 holdings, and higher liquidity, Tickeron’s AI would currently assign a modestly higher probabilistic preference to SQQQ for investors seeking inverse technology exposure. Its established scale and multi-name coverage provide relative advantages in risk distribution compared with the single-stock concentration and smaller scale of TSLS, though both remain high-risk vehicles suited exclusively for short-term tactical deployment.
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.
| SQQQ | TSLS | SQQQ / TSLS | |
| Gain YTD | -41.656 | 13.832 | -301% |
| Net Assets | 1.85B | 60.4M | 3,058% |
| Total Expense Ratio | 0.95 | 0.95 | 100% |
| Turnover | N/A | 0.00 | - |
| Yield | 9.13 | 2.36 | 387% |
| Fund Existence | 17 years | 4 years | - |
| SQQQ | TSLS | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 85% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 4 days ago 87% | 6 days ago 90% |
| Declines ODDS (%) | 11 days ago 90% | 10 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 83% | 3 days ago 90% |