FNGG
Price
$265.73
Change
-$6.26 (-2.30%)
Updated
Sep 4, 03:33 PM (EDT)
Net Assets
130.57M
Intraday BUY SELL Signals
QULL
Price
$70.67
Change
-$0.00 (-0.00%)
Updated
Aug 18, 12:21 PM (EDT)
Net Assets
40.87M
Intraday BUY SELL Signals
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FNGG vs QULL

FNGG vs QULL Comparison Chart in %
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A.I.Advisor
Aug 26, 2026

Which ETF would AI Choose? Direxion Daily NYSE FANG+ Bull 2X ETF (FNGG) vs. ETRACS 2x Leveraged MSCI US Quality Factor TR ETN (QULL)

Key Takeaways

  • FNGG provides 2x daily leveraged exposure to a concentrated basket of 10 technology and growth-oriented stocks via the NYSE FANG+ Index, emphasizing high-conviction names in information technology and communication services.
  • QULL delivers 2x daily leveraged exposure to a sector-neutral quality factor index comprising large- and mid-cap U.S. equities selected for high return on equity, low leverage, and low earnings variability.
  • Both products are daily-reset leveraged vehicles designed for short-term tactical use rather than long-term buy-and-hold strategies due to compounding effects and volatility decay.
  • FNGG carries a 0.97% expense ratio and is structured as an ETF, while QULL features a 0.95% expense ratio and is an exchange-traded note (ETN) subject to issuer credit risk from UBS.
  • FNGG offers thematic concentration in mega-cap technology, whereas QULL provides broader diversification across quality characteristics within each Global Industry Classification Standard (GICS) sector.
  • Structural differences in index methodology, leverage application, and product wrapper create distinct risk-return profiles suitable for different investor objectives within leveraged equity strategies.

Introduction

Investors seeking amplified exposure to U.S. equities often evaluate leveraged products that target either thematic growth or systematic factors. The Direxion Daily NYSE FANG+ Bull 2X ETF (FNGG) and the ETRACS 2x Leveraged MSCI US Quality Factor TR ETN (QULL) represent two distinct approaches to 2x daily leverage. They do not compete directly but offer alternative pathways for investors pursuing enhanced returns in technology-driven or quality-oriented segments of the market. Comparing their structures, exposures, and positioning helps clarify which vehicle may align with specific tactical or thematic goals.

Direxion Daily NYSE FANG+ Bull 2X ETF (FNGG) Overview

The Direxion Daily NYSE FANG+ Bull 2X ETF seeks daily investment results, before fees and expenses, of 200% of the performance of the NYSE FANG+ Index. This equal-dollar-weighted index tracks 10 highly traded growth stocks from technology and tech-enabled companies, including six FAANMG names and four additional constituents. As of the most recent index data, top holdings include Micron Technology, Amazon.com Inc., Meta Platforms Inc., Microsoft Corp., Alphabet Inc., Apple Inc., Nvidia Corp., Broadcom Inc., Netflix Inc., and Palantir Technologies Inc. Sector allocations concentrate in information technology (approximately 60%), communication services (approximately 30%), and consumer discretionary (approximately 10%). The fund maintains a 0.97% expense ratio and employs swap agreements and other derivatives to achieve its leveraged objective. Reconstitution occurs quarterly, and the product is non-diversified with daily reset mechanics.

ETRACS 2x Leveraged MSCI US Quality Factor TR ETN (QULL) Overview

The ETRACS 2x Leveraged MSCI US Quality Factor TR ETN seeks 2x daily leveraged exposure to the MSCI USA Sector Neutral Quality Index. This index selects large- and mid-cap U.S. securities exhibiting stronger quality characteristics relative to peers within the same GICS sector, based on high return on equity, low leverage (debt-to-equity), and low earnings variability. Securities are weighted by the product of their parent-index market-cap weight and quality score, with individual caps at 5%. The ETN structure carries an annual tracking fee of 0.95% and is subject to the credit risk of issuer UBS. No physical holdings exist; returns derive from the performance of the underlying index less fees and financing costs. The product features quarterly compounding resets and targets broad diversification across quality factors rather than concentrated themes.

Industry and Thematic Backdrop

Both ETFs operate within the broader U.S. equity market environment shaped by technological innovation, earnings growth in high-quality companies, and macroeconomic factors including interest-rate expectations and sector rotation. Technology and growth stocks remain sensitive to capital expenditure cycles, regulatory developments in artificial intelligence and data privacy, and global supply-chain dynamics. Quality-factor strategies benefit from investor preference for balance-sheet strength and earnings stability amid economic uncertainty. Capital flows into thematic and factor-based leveraged products reflect ongoing demand for tactical tools that amplify exposure to either innovation-driven or defensively positioned segments of the market.

Performance and Positioning Comparison

In recent market cycles, FNGG has exhibited higher volatility tied to swings in its concentrated technology holdings, with performance closely linked to earnings reports and sentiment around artificial intelligence and cloud computing. QULL has shown more measured responses driven by quality characteristics that tend to provide relative resilience during periods of market stress or rotation away from high-valuation growth stocks. Both vehicles experience amplified daily moves due to leverage, with compounding effects becoming more pronounced over multi-day periods. Relative positioning favors FNGG during sustained technology rallies and QULL during environments emphasizing earnings quality and lower leverage across sectors.

AI Screener

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 products like FNGG and QULL may benefit from exploring these capabilities.

Tickeron AI Verdict

Based on structural strength, cost efficiency, diversification profile, and alignment with observable sector momentum, Tickeron’s AI would currently assign a modestly higher probability of favorable positioning to QULL. Its sector-neutral quality methodology offers broader risk distribution and potential resilience compared with the concentrated thematic exposure of FNGG, though both remain leveraged instruments suited primarily for short-term applications.

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
FNGG vs. QULL commentary
Sep 05, 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 FNGG is a Buy and QULL is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
FNGG has more net assets: 131M vs. QULL (40.9M). FNGG has a higher annual dividend yield than QULL: FNGG (29.997) vs QULL (24.369). FNGG was incepted earlier than QULL: FNGG (5 years) vs QULL (6 years).
FNGGQULLFNGG / QULL
Gain YTD29.99724.369123%
Net Assets131M40.9M320%
Total Expense Ratio0.97N/A-
Turnover63.00N/A-
Yield0.580.00-
Fund Existence5 years6 years-
TECHNICAL ANALYSIS
Technical Analysis
FNGGQULL
RSI
ODDS (%)
Bearish Trend 2 days ago
86%
N/A
Stochastic
ODDS (%)
Bearish Trend 2 days ago
84%
N/A
Momentum
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
MACD
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
70%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
80%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
79%
Advances
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
Declines
ODDS (%)
Bearish Trend 18 days ago
89%
N/A
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
87%
N/A
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
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