HIBS
Price
$19.34
Change
+$2.02 (+11.66%)
Updated
Jun 23 closing price
Net Assets
18.86M
Intraday BUY SELL Signals
SQQQ
Price
$40.56
Change
+$3.63 (+9.83%)
Updated
Jun 23 closing price
Net Assets
1.98B
Intraday BUY SELL Signals
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HIBS vs SQQQ

HIBS vs SQQQ Comparison Chart in %
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Which ETF would AI Choose? Direxion Daily S&P 500 High Beta Bear 3X Shares (HIBS) vs. ProShares UltraPro Short QQQ (SQQQ)

Key Takeaways

  • HIBS seeks daily investment results, before fees and expenses, that correspond to three times the inverse (-3x) of the daily performance of the S&P 500 High Beta Index, providing targeted exposure to high-volatility large-cap stocks.
  • 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, offering leveraged inverse exposure to leading non-financial companies, predominantly in technology.
  • Both ETFs employ leveraged inverse strategies using derivatives such as swaps and futures, resulting in high expense ratios (HIBS at 1.06% net; SQQQ at 0.95% net) and suitability only for short-term trading due to compounding effects over longer periods.
  • HIBS typically features broader sector exposure across the high-beta segment of the S&P 500, with significant weight in Information Technology, Financials, and Consumer Discretionary, while SQQQ concentrates on Nasdaq-100 constituents with heavy technology weighting.
  • Structural differences in underlying indices lead to distinct risk profiles: HIBS amplifies moves in high-beta cyclical stocks, whereas SQQQ provides more concentrated exposure to growth-oriented mega-cap technology names.
  • Investors comparing the two should note that neither ETF aims for long-term holding; both reset daily and carry substantial volatility risk amplified by leverage.

Introduction

Leveraged inverse exchange-traded funds (ETFs) such as HIBS and SQQQ serve niche roles for sophisticated investors seeking to hedge or profit from short-term market declines. These two products do not compete directly for the same benchmark but represent alternative strategies for gaining amplified inverse exposure within U.S. equity markets. HIBS targets high-beta components of the S&P 500, while SQQQ focuses on the technology-heavy Nasdaq-100. Their relevance stems from ongoing interest in volatility management amid shifting macroeconomic conditions, sector rotations, and growth-stock valuations.

Direxion Daily S&P 500 High Beta Bear 3X Shares (HIBS) Overview

Direxion Daily S&P 500 High Beta Bear 3X Shares (HIBS) is a leveraged inverse ETF issued by Direxion that seeks daily results equal to -300% of the S&P 500 High Beta Index. The fund typically holds a small number of positions, primarily swaps and other derivatives, with limited traditional equity holdings. It provides exposure to the 100 highest-beta stocks within the S&P 500, which tend to exhibit greater price sensitivity to market movements. Sector allocations in the underlying index commonly emphasize Information Technology, Financials, and Consumer Discretionary. The net expense ratio stands at 1.06%. As a daily-reset product, HIBS is designed for short-term use and rebalances each trading day to maintain its target leverage.

ProShares UltraPro Short QQQ (SQQQ) Overview

ProShares UltraPro Short QQQ (SQQQ) is a leveraged inverse ETF from ProShares that seeks daily results equal to -300% of the Nasdaq-100 Index. The fund primarily utilizes swaps, futures, and U.S. Treasury securities to achieve its objective, resulting in a concentrated portfolio of approximately nine holdings dominated by derivatives. The Nasdaq-100 comprises 100 of the largest non-financial companies listed on Nasdaq, with heavy weighting toward technology giants. The net expense ratio is 0.95%. Like other daily-reset leveraged products, SQQQ rebalances at the end of each trading day and is intended for tactical, short-term applications rather than buy-and-hold strategies.

Industry and Thematic Backdrop

Both ETFs operate within the broader U.S. equity market environment, particularly sensitive to technology sector performance, interest rate expectations, and economic growth indicators. The Nasdaq-100 and high-beta segments of the S&P 500 have been influenced by capital flows into growth stocks, earnings cycles of large technology companies, and macroeconomic shifts including inflation trends and monetary policy. Regulatory developments around derivatives usage in ETFs and overall market volatility continue to shape the landscape for leveraged products. Sector risks include concentration in a handful of mega-cap names and sensitivity to changes in investor sentiment toward risk assets.

Performance and Positioning Comparison

In recent market cycles, HIBS and SQQQ have exhibited distinct volatility profiles tied to their respective benchmarks. HIBS tends to amplify movements in high-beta stocks, which often react more sharply during periods of sector rotation away from cyclical areas or during earnings-driven volatility in financials and technology. SQQQ, by contrast, has shown pronounced responses to declines in the Nasdaq-100, particularly during corrections in growth stocks. Relative positioning highlights differences in diversification: HIBS offers broader exposure across high-beta names, while SQQQ delivers more concentrated inverse leverage on technology leaders. Over recent weeks and months, performance divergences have reflected varying sensitivities to interest rate expectations and commodity trends affecting cyclical versus growth segments.

AI Screener

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. Professional investors seeking data-driven insights into leveraged products and sector exposures may find the platform particularly useful for refining strategies.

Tickeron AI Verdict

Based on observable structural factors including cost efficiency, diversification within the underlying index, and alignment with prevailing sector momentum, Tickeron’s AI would currently assign a modestly higher probability of favorability to SQQQ. Its lower expense ratio and concentrated exposure to the Nasdaq-100 provide a clearer tactical profile for short-term inverse positioning amid technology-sector dynamics, though both products carry substantial leverage-related risks that require careful monitoring.

Disclaimer

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.

Disclaimers and Limitations

VS
HIBS vs. SQQQ commentary
Jun 24, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is HIBS is a Hold and SQQQ is a StrongBuy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SQQQ has more net assets: 1.98B vs. HIBS (18.9M). SQQQ has a higher annual dividend yield than HIBS: SQQQ (-40.307) vs HIBS (-60.938). HIBS was incepted earlier than SQQQ: HIBS (7 years) vs SQQQ (16 years). SQQQ (0.95) has a lower expense ratio than HIBS (1.06).
HIBSSQQQHIBS / SQQQ
Gain YTD-60.938-40.307151%
Net Assets18.9M1.98B1%
Total Expense Ratio1.060.95112%
Turnover0.00N/A-
Yield11.2412.1992%
Fund Existence7 years16 years-
TECHNICAL ANALYSIS
Technical Analysis
HIBSSQQQ
RSI
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
88%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
84%
Bullish Trend 1 day ago
86%
Momentum
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
MACD
ODDS (%)
Bullish Trend 1 day ago
87%
Bullish Trend 6 days ago
84%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
88%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 7 days ago
87%
Bullish Trend 1 day ago
87%
Declines
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 9 days ago
90%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Aroon
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
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