DPST
Price
$131.95
Change
+$5.24 (+4.14%)
Updated
Jun 23, 04:59 PM (EDT)
Net Assets
440.12M
Intraday BUY SELL Signals
MLPR
Price
$68.81
Change
+$1.53 (+2.27%)
Updated
Jun 23, 04:31 PM (EDT)
Net Assets
57.29M
Intraday BUY SELL Signals
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DPST vs MLPR

DPST vs MLPR Comparison Chart in %
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Which ETF would AI Choose? Direxion Daily Regional Banks Bull 3X Shares (DPST) vs. ETRACS Quarterly Pay 1.5X Leveraged Alerian MLP Index ETN (MLPR)

Key Takeaways

  • DPST offers 3x daily leveraged exposure to an equal-weighted basket of approximately 140–150 U.S. regional banks, while MLPR delivers 1.5x quarterly leveraged exposure to a market-cap-weighted index of energy infrastructure master limited partnerships (MLPs).
  • DPST is a leveraged exchange-traded fund (ETF) with an expense ratio of 0.92%, whereas MLPR is an exchange-traded note (ETN) subject to issuer credit risk and carrying a 0.95% annual tracking fee plus financing costs.
  • Both products target distinct sectors—regional banking for DPST and midstream energy infrastructure for MLPR—resulting in different sensitivities to interest rates, regulatory changes, and commodity prices.
  • DPST employs daily resets that can lead to compounding effects over multiple periods, while MLPR’s quarterly reset and distribution mechanics align more closely with MLP cash-flow cycles.
  • Structural differences in leverage magnitude, reset frequency, and product type (ETF versus ETN) create divergent risk profiles and liquidity characteristics for investors seeking amplified sector exposure.
  • Cost efficiency favors DPST on headline fees, yet MLPR’s quarterly coupon potential may appeal to income-oriented investors within the energy infrastructure theme.

Introduction

Investors seeking leveraged exposure to specialized U.S. sectors often compare products that amplify returns from regional banks and energy infrastructure. DPST and MLPR do not compete directly; instead, they provide alternative leveraged strategies targeting different economic drivers. Regional banks respond primarily to interest-rate cycles and domestic lending conditions, while energy MLPs are influenced by commodity volumes and infrastructure demand. The comparison helps investors evaluate structural trade-offs between daily-reset equity leverage and quarterly-reset MLP exposure within a single thematic allocation framework.

Direxion Daily Regional Banks Bull 3X Shares (DPST) Overview

DPST seeks daily investment results, before fees and expenses, of 300% of the performance of the S&P Regional Banks Select Industry Index. The index is a modified equal-weighted benchmark comprising stocks classified in the regional banks sub-industry of the S&P Total Market Index. The fund typically holds 140–150 positions, with top holdings each representing roughly 1.5% of assets due to the equal-weight methodology. DPST is a leveraged ETF that uses swaps, futures, and other derivatives to achieve its target exposure. Its expense ratio stands at 0.92%. The daily reset mechanism requires frequent rebalancing, which can amplify returns or losses over periods longer than one day. Liquidity remains robust, supported by consistent trading volumes on major U.S. exchanges.

ETRACS Quarterly Pay 1.5X Leveraged Alerian MLP Index ETN (MLPR) Overview

MLPR seeks to provide 1.5 times leveraged long exposure to the compounded quarterly performance of the Alerian MLP Index, less financing costs and tracking fees. The underlying index is a modified market-cap-weighted composite of approximately 50 energy infrastructure MLPs focused on midstream activities such as transportation, storage, and processing. As an ETN, MLPR carries credit risk tied to the issuer rather than holding underlying securities directly. The product features a 0.95% annual tracking fee plus a financing fee linked to short-term rates. MLPR may distribute variable quarterly coupons derived from leveraged MLP distributions. Its quarterly reset aligns with the index’s distribution cycle, and the structure offers no direct ownership of MLP units.

Industry and Thematic Backdrop

Regional banks and energy infrastructure MLPs operate in separate but macro-sensitive environments. Regional banks face ongoing pressure from interest-rate volatility, regulatory capital requirements, and commercial real-estate exposure. Energy MLPs benefit from stable midstream cash flows tied to production volumes and long-term infrastructure contracts, yet remain subject to commodity price swings and regulatory shifts in permitting and emissions. Broader capital flows into leveraged products reflect investor demand for amplified sector beta amid evolving monetary policy and energy transition dynamics. Both themes exhibit cyclical characteristics that reward tactical positioning rather than long-term buy-and-hold strategies.

Performance and Positioning Comparison

Over recent market cycles, DPST has exhibited higher volatility consistent with its 3x daily leverage and concentration in interest-rate-sensitive banks. MLPR’s 1.5x quarterly leverage and MLP focus have produced more moderate drawdowns during energy price corrections but greater sensitivity to distribution variability. Relative positioning depends on prevailing rate expectations and energy demand trends; periods of steepening yield curves have historically favored bank exposure, while stable commodity volumes have supported MLP infrastructure returns. The structural differences in reset frequency and leverage magnitude create distinct paths for capturing sector momentum.

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. Professional and retail investors seeking data-driven insights into leveraged sector products can leverage the platform’s advanced filtering capabilities.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would currently assign a modest edge to DPST. The higher leverage level, lower headline expense ratio, and greater number of holdings provide a more diversified path to amplified regional-bank exposure. MLPR’s ETN structure and financing costs introduce additional variables that temper its relative appeal in the current environment. Investors should weigh these factors against their risk tolerance and time horizon.

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
DPST vs. MLPR commentary
Jun 24, 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 DPST is a Buy and MLPR is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
DPST has more net assets: 440M vs. MLPR (57.3M). DPST has a higher annual dividend yield than MLPR: DPST (31.869) vs MLPR (21.773). DPST was incepted earlier than MLPR: DPST (11 years) vs MLPR (6 years).
DPSTMLPRDPST / MLPR
Gain YTD31.86921.773146%
Net Assets440M57.3M768%
Total Expense Ratio0.92N/A-
Turnover152.00N/A-
Yield1.869.0021%
Fund Existence11 years6 years-
TECHNICAL ANALYSIS
Technical Analysis
DPSTMLPR
RSI
ODDS (%)
Bearish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
83%
MACD
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
86%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
81%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
78%
Advances
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
Declines
ODDS (%)
Bearish Trend 27 days ago
90%
Bearish Trend 2 days ago
84%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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