Investors seeking amplified exposure to either the financial sector or quality-oriented equities often evaluate leveraged products such as FAS and QULL. These two funds do not compete directly; instead, they represent alternative leveraged strategies that target different segments of the equity market. FAS delivers concentrated, high-beta exposure to financial institutions, while QULL provides leveraged access to a broad quality-factor index. The comparison helps investors understand how sector-specific versus factor-based leverage influences risk, cost, and positioning within a diversified portfolio.
FAS is a leveraged exchange-traded fund (ETF) that seeks daily investment results, before fees and expenses, of 300% of the performance of the Financial Select Sector Index. The fund typically holds swaps, futures, and other financial instruments to achieve its target leverage. It maintains approximately 70–80 holdings that reflect the composition of the underlying financial-sector index. Top holdings generally include large U.S. banks and financial services firms such as Berkshire Hathaway, JPMorgan Chase, and Visa. Sector allocation is 100% financials by design. The gross expense ratio stands at 0.95%. As a daily-reset product, FAS is intended for short-term trading rather than long-term buy-and-hold strategies.
QULL is an exchange-traded note (ETN) that seeks to deliver 200% of the compounded quarterly performance of the MSCI USA Sector Neutral Quality GR USD Index, less financing costs and fees. The underlying index selects high-quality U.S. companies based on profitability, earnings quality, and low leverage, with sector-neutral weighting. Because it is an ETN, investors hold an unsecured debt obligation of the issuer rather than direct ownership of assets. The annual tracking fee is 0.95%, with additional financing costs linked to short-term rates. The structure provides leveraged exposure to a diversified basket of quality stocks across multiple sectors rather than a single industry.
The U.S. equity market continues to experience sector rotation driven by interest-rate expectations, corporate earnings trends, and shifts in investor risk appetite. Financial stocks remain sensitive to the path of monetary policy and credit conditions, while quality-factor strategies attract capital during periods of elevated volatility or uncertainty. Regulatory developments affecting banks and capital markets, together with broader macroeconomic indicators such as inflation and employment data, influence flows into both leveraged financial and quality exposures. These themes create a dynamic environment in which sector-specific and factor-based leveraged products serve distinct tactical roles.
In recent market cycles, FAS has exhibited pronounced sensitivity to interest-rate movements and financial-sector earnings, resulting in higher volatility relative to unleveraged benchmarks. QULL has tended to display more stable trend behavior during quality rotations, benefiting from the defensive characteristics of high-profitability, low-leverage companies. Over recent weeks and months, relative performance has reflected broader sector momentum and factor leadership rather than isolated daily price changes. Investors evaluating positioning often weigh FAS’s concentrated financial beta against QULL’s diversified quality leverage when constructing short-term tactical allocations.
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. AI Screener
Based on structural characteristics, cost efficiency, diversification profile, and observable sector momentum, Tickeron’s AI would currently assign a modestly higher probability of favorable positioning to QULL. Its broader quality-factor exposure and quarterly reset may offer a more balanced risk profile relative to FAS’s concentrated daily-reset financial leverage in the prevailing market environment. This assessment remains probabilistic and does not constitute investment advice.
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.
| FAS | QULL | FAS / QULL | |
| Gain YTD | 4.276 | 14.572 | 29% |
| Net Assets | 2.37B | 40.9M | 5,782% |
| Total Expense Ratio | 0.88 | N/A | - |
| Turnover | 66.00 | N/A | - |
| Yield | 1.03 | 0.00 | - |
| Fund Existence | 18 years | 5 years | - |
| FAS | QULL | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 90% | N/A |
| Stochastic ODDS (%) | 4 days ago 90% | N/A |
| Momentum ODDS (%) | 4 days ago 90% | N/A |
| MACD ODDS (%) | 4 days ago 90% | N/A |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 80% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 79% |
| Advances ODDS (%) | 7 days ago 90% | N/A |
| Declines ODDS (%) | 12 days ago 90% | N/A |
| BollingerBands ODDS (%) | 4 days ago 90% | N/A |
| Aroon ODDS (%) | 4 days ago 89% | 4 days ago 81% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GTEK | 53.90 | 1.16 | +2.20% |
| Goldman Sachs Future Tech Leaders Eq ETF | |||
| LFEQ | 59.50 | 0.51 | +0.87% |
| VanEck Lg/Flat Trend ETF | |||
| FSEP | 55.52 | 0.26 | +0.48% |
| FT Vest US Equity Buffer ETF Sep | |||
| FINT | 35.90 | -0.10 | -0.28% |
| Frontier Asset Total International Equity ETF | |||
| SUIS | 17.63 | -0.51 | -2.81% |
| Canary Staked SUI ETF | |||
A.I.dvisor indicates that over the last year, FAS has been closely correlated with BAC. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if FAS jumps, then BAC could also see price increases.