MLPR and UDOW represent distinct leveraged strategies that appeal to investors pursuing amplified exposure within energy infrastructure and broad U.S. equities, respectively. They do not compete directly for the same benchmark but offer alternative ways to gain magnified sector or market participation. In the current environment of evolving interest rate expectations and sector rotation, these products illustrate how leverage can be applied across different asset classes, helping investors understand trade-offs in volatility, cost, and thematic alignment.
MLPR is an exchange-traded note (ETN) issued by UBS that seeks to deliver 1.5 times the compounded quarterly performance of the Alerian MLP Index, less financing costs and fees. The underlying index comprises midstream energy master limited partnerships (MLPs) involved in transportation, storage, and processing of energy commodities. The ETN typically holds no direct equities and instead provides synthetic exposure through a note structure. It features a variable quarterly coupon linked to leveraged distributions from index constituents. The product resets leverage quarterly and carries ETN credit risk tied to the issuer. Expense characteristics include embedded financing costs that vary with interest rates. Top index components generally include established MLPs such as Enterprise Products Partners and Energy Transfer, resulting in concentrated energy infrastructure exposure.
UDOW is an exchange-traded fund (ETF) from ProShares that seeks daily investment results, before fees and expenses, corresponding to three times (3x) the daily performance of the Dow Jones Industrial Average. The benchmark consists of 30 large-capitalization U.S. companies selected for their reputation, growth, and liquidity across sectors including industrials, technology, financials, and consumer staples. UDOW employs swap agreements and other derivatives to achieve the 3x daily target with a daily reset. It maintains a portfolio of holdings that mirrors the index constituents on a leveraged basis. The expense ratio reflects costs associated with leverage and daily rebalancing. This structure provides broad large-cap equity exposure without sector-specific concentration beyond the Dow’s composition.
The broader environment features shifting macroeconomic drivers, including interest rate policy, energy demand trends, and corporate earnings cycles. Midstream energy MLPs benefit from stable fee-based revenues and volume growth in pipelines and storage, while the Dow Jones Industrial Average reflects overall equity market sentiment influenced by economic data and corporate performance. Capital flows into energy infrastructure and large-cap equities respond to commodity price stability and growth expectations. Regulatory developments around energy policy and infrastructure spending can affect MLP distributions, while equity leverage products like UDOW remain sensitive to market volatility and sector rotation between value and growth styles.
In recent market cycles, MLPR’s performance has been influenced by energy volume trends and distribution stability within the midstream sector, with leverage amplifying both gains and losses relative to unleveraged MLP benchmarks. UDOW has tracked magnified movements in the Dow Jones Industrial Average, showing greater sensitivity to broad equity rallies or pullbacks driven by macroeconomic shifts and earnings seasons. The higher leverage multiplier in UDOW typically results in elevated volatility compared with MLPR’s 1.5x factor. Relative positioning favors MLPR for investors seeking energy infrastructure income amplification, while UDOW provides tactical equity market leverage across a diversified large-cap basket.
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, cost efficiency considerations, diversification profile, and current sector momentum, Tickeron’s AI would currently assign a higher probabilistic preference to UDOW for investors seeking broad large-cap equity leverage, owing to its established liquidity and alignment with overall market trends. MLPR remains relevant for targeted energy infrastructure exposure but carries additional ETN-specific considerations.
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.
| MLPR | UDOW | MLPR / UDOW | |
| Gain YTD | 23.491 | 21.757 | 108% |
| Net Assets | 57.3M | 867M | 7% |
| Total Expense Ratio | N/A | 0.95 | - |
| Turnover | N/A | 24.00 | - |
| Yield | 9.00 | 1.19 | 757% |
| Fund Existence | 6 years | 16 years | - |
| MLPR | UDOW | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 80% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 86% |
| Momentum ODDS (%) | 3 days ago 82% | 1 day ago 90% |
| MACD ODDS (%) | 3 days ago 80% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 81% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 77% | 1 day ago 90% |
| Advances ODDS (%) | N/A | 1 day ago 90% |
| Declines ODDS (%) | 10 days ago 84% | 24 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 88% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 70% | 1 day ago 90% |
A.I.dvisor tells us that UDOW and AXP have been poorly correlated (+29% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that UDOW and AXP's prices will move in lockstep.
| Ticker / NAME | Correlation To UDOW | 1D Price Change % | ||
|---|---|---|---|---|
| UDOW | 100% | +0.75% | ||
| AXP - UDOW | 29% Poorly correlated | -0.77% | ||
| GS - UDOW | 27% Poorly correlated | -0.87% | ||
| JPM - UDOW | 25% Poorly correlated | -0.63% | ||
| MMM - UDOW | 24% Poorly correlated | -0.32% | ||
| KD - UDOW | 24% Poorly correlated | +0.80% | ||
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