Investors seeking short-term inverse exposure to technology and growth equities often evaluate leveraged products such as FNGD and SQQQ. These two funds do not compete directly for the same benchmark but represent alternative strategies for expressing bearish views on overlapping yet distinct segments of the equity market. FNGD narrows its focus to a select group of influential FANG+ names, while SQQQ provides broader coverage of the Nasdaq-100 Index. This comparison highlights structural, exposure, and positioning differences that matter for tactical allocation decisions in volatile market environments.
FNGD is an exchange-traded note (ETN) issued by Bank of Montreal that seeks daily investment results, before fees and expenses, corresponding to three times the inverse (-3x) of the daily performance of the NYSE FANG+ Index. The underlying index comprises 10 highly liquid, equal-dollar-weighted stocks from the technology and consumer discretionary sectors. Top holdings typically include names such as Micron Technology, Broadcom, Amazon, and Alphabet. The product maintains a 0.95% expense ratio and resets exposure daily. As an ETN, it carries counterparty credit risk tied to the issuer rather than holding underlying assets directly. This structure suits short-term tactical trades rather than long-term holding periods.
SQQQ is an exchange-traded fund (ETF) issued by ProShares that seeks daily investment results, before fees and expenses, corresponding to three times the inverse (-3x) of the daily performance of the Nasdaq-100 Index. The benchmark encompasses approximately 100 large-cap non-financial companies listed on the Nasdaq, with heavy representation in technology, consumer services, and communication services. The fund employs derivatives including swaps and futures to achieve its target exposure and maintains a 0.95% net expense ratio. Unlike an ETN, SQQQ operates as a regulated investment company with no direct issuer credit risk. Daily rebalancing supports its use as a short-term trading or hedging instrument amid equity market fluctuations.
Both ETFs operate within the technology and growth equity landscape, where macroeconomic factors such as interest rate expectations, earnings growth in semiconductor and software companies, and shifts in investor risk appetite exert significant influence. Capital flows into or out of mega-cap technology names can amplify volatility in concentrated benchmarks like the NYSE FANG+ Index relative to the broader Nasdaq-100. Regulatory developments around antitrust scrutiny or data privacy, along with broader economic indicators including inflation trends and corporate spending on artificial intelligence infrastructure, serve as ongoing catalysts. Sector risks include elevated valuations and sensitivity to changes in monetary policy, which can accelerate or dampen downside moves targeted by inverse leveraged products.
In recent market cycles, both FNGD and SQQQ have exhibited amplified downside participation during technology sector corrections, though the narrower FANG+ focus of FNGD can produce more pronounced moves when its constituent stocks underperform the wider Nasdaq-100. SQQQ tends to deliver more consistent relative exposure across diverse large-cap names, reducing idiosyncratic stock risk. Volatility decay from daily resets affects both products over extended holding periods, with the effect more noticeable during sideways or low-volatility markets. Relative positioning favors SQQQ for investors seeking broader benchmark coverage, while FNGD may appeal during periods when FANG+ names lead or lag the broader technology complex.
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 evaluating products like FNGD and SQQQ may find the tool useful for generating additional ideas aligned with their market views.
Based on observable factors including structural characteristics, diversification profile, and liquidity considerations, Tickeron’s AI would currently assign a modestly higher probability of favorability to SQQQ. The ETF structure eliminates issuer credit risk, the broader Nasdaq-100 exposure provides greater diversification, and higher trading volumes support more efficient execution. These elements collectively suggest a more robust profile for short-term inverse strategies relative to the narrower, ETN-based alternative, though individual investor objectives and risk tolerance remain paramount.
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.
| FNGD | SQQQ | FNGD / SQQQ | |
| Gain YTD | -27.135 | -40.307 | 67% |
| Net Assets | 53.5M | 1.98B | 3% |
| Total Expense Ratio | 0.95 | 0.95 | 100% |
| Turnover | N/A | N/A | - |
| Yield | 0.00 | 12.19 | - |
| Fund Existence | 8 years | 16 years | - |
| FNGD | SQQQ | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 86% |
| Momentum ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 85% | 7 days ago 84% |
| TrendWeek ODDS (%) | 1 day ago 89% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 1 day ago 89% | 1 day ago 87% |
| Declines ODDS (%) | 24 days ago 90% | 10 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
A.I.dvisor tells us that FNGD and BABA have been poorly correlated (+-27% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FNGD and BABA's prices will move in lockstep.
| Ticker / NAME | Correlation To FNGD | 1D Price Change % | ||
|---|---|---|---|---|
| FNGD | 100% | +7.44% | ||
| BABA - FNGD | -27% Poorly correlated | -2.26% | ||
| NFLX - FNGD | -31% Poorly correlated | -0.08% | ||
| BIDU - FNGD | -35% Negatively correlated | -1.43% | ||
| AAPL - FNGD | -38% Negatively correlated | -0.91% | ||
| TSLA - FNGD | -48% Negatively correlated | -5.79% | ||
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