IFED and TNA offer investors contrasting approaches to U.S. equity exposure. IFED focuses on large-capitalization stocks selected according to Federal Reserve policy signals, while TNA provides leveraged access to the small-capitalization segment of the market. These ETFs do not compete directly; instead, they represent alternative strategies that may appeal to investors seeking either monetary-policy-responsive large-cap participation or amplified daily movements in small-cap benchmarks. Comparing their structures highlights differences in cost, risk, and thematic positioning within the broader equity landscape.
IFED is an exchange-traded note issued by UBS that seeks to track the performance of the IFED Large-Cap US Equity Index Total Return, less an annual tracking fee. The underlying index employs a rules-based methodology to identify large-capitalization U.S. equities best positioned to benefit from the prevailing Federal Reserve monetary environment. The ETN typically holds a concentrated portfolio of large-cap names, with top holdings including securities such as Warner Bros. Discovery, Snowflake, Gilead Sciences, Bristol-Myers Squibb, and 3M. Sector allocations shift based on the index’s assessment of monetary conditions rather than fixed weights. The expense ratio stands at 0.45%. As an ETN, IFED carries issuer credit risk in addition to market risk and does not hold underlying securities directly.
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 fund achieves this objective primarily through swaps, futures, and other derivatives rather than direct ownership of all index constituents. It maintains exposure to the broad small-capitalization universe of approximately 2,000 companies. TNA’s portfolio includes significant notional exposure via derivatives, resulting in high turnover and sensitivity to daily market movements. The net expense ratio is 1.05%. Because of the leverage and daily reset mechanism, TNA is designed for short-term trading horizons and exhibits substantially greater volatility than unleveraged small-cap vehicles.
Both ETFs operate within the U.S. equity market but respond to different drivers. Large-capitalization stocks tracked by IFED are influenced by Federal Reserve interest-rate decisions, inflation data, and monetary-policy signals that affect valuations across growth and value segments. Small-capitalization companies in the Russell 2000, which TNA amplifies, remain sensitive to domestic economic growth, credit conditions, and sector-specific earnings trends in areas such as industrials, healthcare, and technology. Capital flows into small-cap and large-cap segments continue to reflect broader macroeconomic expectations, while regulatory developments around monetary policy and corporate taxation add layers of uncertainty to both exposures.
Over recent market cycles, TNA’s leveraged structure has produced amplified returns during periods of small-cap outperformance but has also generated larger drawdowns during market stress. IFED’s policy-responsive selection process has resulted in more moderate volatility consistent with large-cap benchmarks, with performance tied to shifts in Federal Reserve rhetoric and economic data releases. Relative positioning favors IFED for investors prioritizing cost efficiency and lower structural risk, while TNA suits those seeking short-term tactical exposure to small-cap momentum. Differences in rebalancing frequency and derivative usage further distinguish their behavior across interest-rate and growth environments.
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 securities like IFED or TNA may find the platform useful for refining their research process.
Based on structural characteristics, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a higher probability of favorability to IFED. Its lower expense ratio, unleveraged exposure to a rules-based large-cap strategy, and reduced sensitivity to daily resets provide a more stable framework relative to TNA’s leveraged construction and higher volatility. Sector momentum and risk exposure considerations further support this probabilistic assessment under prevailing market conditions.
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.
| IFED | TNA | IFED / TNA | |
| Gain YTD | -3.414 | 59.528 | -6% |
| Net Assets | 73.1M | 1.36B | 5% |
| Total Expense Ratio | N/A | 1.05 | - |
| Turnover | N/A | 188.00 | - |
| Yield | 0.00 | 0.28 | - |
| Fund Existence | 5 years | 18 years | - |
| IFED | TNA | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 65% | N/A |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 77% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| Advances ODDS (%) | 19 days ago 83% | 11 days ago 90% |
| Declines ODDS (%) | 17 days ago 68% | 3 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 77% | N/A |
| Aroon ODDS (%) | 2 days ago 79% | 2 days ago 90% |