TECL and TNA represent two distinct leveraged exchange-traded funds (ETFs) offered by the same issuer, each providing amplified daily exposure to different segments of the U.S. equity market. They do not compete directly as substitutes but instead offer alternative strategies for investors seeking leveraged participation in growth-oriented or cyclical areas. TECL focuses on the technology sector, while TNA targets small-capitalization stocks, allowing investors to express views on sector-specific momentum versus broader small-cap dynamics within the current market environment.
TECL is a leveraged ETF that seeks daily investment results, before fees and expenses, of 300% of the daily performance of the Technology Select Sector Index. The index comprises large-capitalization technology companies from the S&P 500, including those in software, hardware, and semiconductors. The fund typically holds a relatively small number of direct positions and relies primarily on total return swaps and other derivatives to achieve its leverage target. Top index constituents often include companies such as Nvidia, Apple, Microsoft, Broadcom, and Micron Technology. Sector allocations are heavily weighted toward information technology, with notable exposure to semiconductors and software. TECL carries a net expense ratio of 0.87%. As a daily-reset product, it is structured for short-term use and exhibits high sensitivity to daily market movements in the technology sector.
TNA is a leveraged ETF that seeks daily investment results, before fees and expenses, of 300% of the daily performance of the Russell 2000 Index. The index tracks approximately 2,000 small-capitalization U.S. companies across a range of industries. Like TECL, TNA uses derivatives such as swaps to deliver its target leverage and maintains limited direct equity holdings. The underlying index provides broad diversification, with no single stock dominating the portfolio. Sector allocations reflect typical small-cap composition, including higher weights in industrials, healthcare, and financial services compared with large-cap benchmarks. TNA has a net expense ratio of 1.05%. It is also a daily-reset leveraged vehicle suited for short-term tactical positioning rather than extended holding periods.
The technology sector continues to benefit from advancements in artificial intelligence, cloud computing, and semiconductor demand, supporting capital flows into related equities. Small-capitalization stocks, meanwhile, remain sensitive to interest rate expectations, domestic economic growth, and credit conditions, as many smaller firms carry higher borrowing costs. Regulatory developments around technology competition and potential shifts in monetary policy can influence both areas. Sector rotation between growth-oriented large-cap technology names and value or cyclical small-cap segments often occurs in response to changing macroeconomic signals, creating distinct environments for leveraged exposure vehicles.
In recent market cycles, TECL has demonstrated amplified responsiveness to technology earnings reports and innovation-driven rallies, leading to pronounced gains or losses relative to unleveraged technology benchmarks. TNA has shown heightened sensitivity to small-cap rotations, which often accelerate during periods of improving economic data or declining interest rates. The structural differences result in varying volatility profiles, with TECL tied more closely to large-cap tech momentum and TNA reflecting broader small-cap participation. Relative positioning depends on investor outlooks for sector leadership versus market breadth, with both ETFs experiencing significant drawdowns during adverse daily moves due to their leveraged construction.
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.
Based on structural characteristics including lower expense ratio, concentrated exposure to a high-momentum sector, and alignment with ongoing technology innovation trends, Tickeron’s AI would currently assign a higher probabilistic preference to TECL over TNA for investors seeking leveraged sector-specific positioning. TNA offers greater diversification but at a higher cost and with exposure to a more rate-sensitive segment of the market.
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.
| TECL | TNA | TECL / TNA | |
| Gain YTD | 79.056 | 59.528 | 133% |
| Net Assets | 6.1B | 1.42B | 429% |
| Total Expense Ratio | 0.87 | 1.05 | 83% |
| Turnover | 94.00 | 188.00 | 50% |
| Yield | 3.62 | 0.28 | 1,292% |
| Fund Existence | 18 years | 18 years | - |
| TECL | TNA | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 88% | N/A |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 90% | 11 days ago 90% |
| Declines ODDS (%) | 9 days ago 89% | 3 days ago 90% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, TECL has been loosely correlated with GLW. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if TECL jumps, then GLW could also see price increases.
| Ticker / NAME | Correlation To TECL | 1D Price Change % | ||
|---|---|---|---|---|
| TECL | 100% | N/A | ||
| GLW - TECL | 60% Loosely correlated | -0.77% | ||
| KEYS - TECL | 58% Loosely correlated | -0.04% | ||
| ANET - TECL | 57% Loosely correlated | +1.23% | ||
| APH - TECL | 53% Loosely correlated | -1.96% | ||
| HPE - TECL | 52% Loosely correlated | -1.16% | ||
More | ||||