ATMP
Price
$35.85
Change
+$0.13 (+0.36%)
Updated
Nov 3, 03:19 PM (EDT)
Net Assets
693.18M
Intraday BUY SELL Signals
UMI
Price
$60.21
Change
+$0.13 (+0.22%)
Updated
Nov 3, 04:14 PM (EDT)
Net Assets
555.94M
Intraday BUY SELL Signals
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ATMP vs UMI

ATMP vs UMI Comparison Chart in %
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A.I.Advisor
Oct 28, 2026

Which ETF would AI Choose? Barclays ETN+ Select MLP ETN (ATMP) vs. USCF Midstream Energy Income Fund ETF (UMI)

Key Takeaways

  • Different fund structures: ATMP is an exchange-traded note (ETN) backed by Barclays, while UMI is a conventional, actively managed exchange-traded fund (ETF).
  • Overlapping but not identical exposure: Both target U.S. midstream energy infrastructure, but ATMP is MLP-focused and index-linked, whereas UMI blends MLPs and corporate energy infrastructure names.
  • Cost comparison: ATMP carries a 0.95% expense ratio, slightly above UMI's 0.85%, though neither is a low-cost passive product.
  • Credit risk distinction: As an ETN, ATMP adds Barclays issuer credit risk, a structural feature UMI does not carry.
  • Income orientation: Both are income-centric, but UMI's active mandate generally targets a higher distribution yield than ATMP's index-driven payout.
  • Risk profile: ATMP offers concentrated, rules-based MLP exposure; UMI offers active selection and typically broader name diversification across midstream corporations.

Introduction

Investors seeking energy-related income often confront a crowded field of products that appear similar at first glance but differ meaningfully beneath the surface. ATMP and UMI are a useful illustration: both concentrate on U.S. midstream energy infrastructure and master limited partnerships (MLPs, which are publicly traded partnerships that pass most income through to investors), yet they are not direct substitutes. One is an index-tracking ETN, the other an actively managed ETF. Comparing them clarifies how structure, cost, selection methodology, and income strategy shape real-world outcomes for income-focused portfolios.

Barclays ETN+ Select MLP ETN (ATMP) Overview

ATMP is an exchange-traded note, not an ETF. Issued by Barclays, it is an unsecured debt security designed to track the CIBC Atlas Select MLP Index, a tiered-weighted benchmark of U.S. and Canadian MLPs and MLP general partners selected using fundamental criteria such as credit ratings and cash flow from midstream activities. Because it is an ETN, investors are exposed to Barclays' creditworthiness in addition to market risk.

The note holds a concentrated portfolio of roughly 20 to 25 names, with meaningful positions in ET, EPD, MPLX, PAA, and SUN, alongside WES, HESM, KMI, TRGP, and WMB. Limited-partnership weights are capped at 8% and general-partner weights at 4%, with quarterly reconstitution. The expense ratio is 0.95%. A key practical advantage is that the ETN structure eliminates K-1 tax paperwork typically associated with direct MLP ownership, with distributions taxed as ordinary income.

USCF Midstream Energy Income Fund ETF (UMI) Overview

UMI is an actively managed ETF sponsored by USCF that invests primarily in midstream energy infrastructure companies and MLPs, with an emphasis on generating current income. Unlike ATMP's rules-based index approach, UMI's portfolio managers select holdings based on fundamentals, cash-flow stability, distribution coverage, and growth prospects, and the fund can shift between MLPs and corporate-structured energy infrastructure firms as conditions change.

The portfolio typically holds roughly 23 names, spanning large-cap midstream operators such as ET, EPD, WMB, KMI, OKE, and ENB. The fund's net expense ratio is 0.85%. Its active mandate has historically supported an elevated distribution yield relative to passive MLP products, though that income depends on underlying payout levels and energy-sector conditions. As a standard ETF, UMI is a regulated investment company and does not introduce issuer credit risk in the way an ETN does.

Industry and Thematic Backdrop

Both products sit within the U.S. midstream energy complex, a segment whose economics are tied less to commodity prices than to the volumes of oil, natural gas, and natural gas liquids moving through pipelines and processing facilities. This "toll-road" model supports fee-based cash flows and durable distributions, which is why midstream names remain popular with income investors.

Recent market cycles have favored the sector amid resilient domestic production, rising electricity demand tied to data centers and artificial intelligence, and steady export growth of liquefied natural gas. At the same time, the backdrop carries risks: interest-rate expectations influence the relative appeal of high-yield income assets, regulatory and permitting issues can delay infrastructure expansion, and MLP-specific structures have faced secular consolidation as firms convert to corporate form. Capital flows into midstream and energy-income funds have generally been constructive in recent periods, reflecting investor appetite for yield paired with energy exposure.

Performance and Positioning Comparison

Both ATMP and UMI have benefited from the same underlying sector momentum in recent weeks and months, as midstream equities posted strong total returns on stable cash flows and favorable demand trends. Their relative performance, however, has diverged around structural and selection differences rather than the sector's direction alone.

ATMP's concentrated, index-driven MLP exposure makes it more sensitive to swings in pure-play MLP sentiment and to distribution policy changes among its largest weightings. UMI's active mandate, which blends MLPs with corporate energy infrastructure and can adjust positioning, has historically offered somewhat smoother behavior and a higher income stream, though with a different mix of underlying risks. Volatility in both tends to track energy and rate-sensitive income segments more than broad equities, and their positioning should be evaluated through the lens of sector rotation, distribution sustainability, and interest-rate expectations rather than short-term price moves.

AI Screener

Tickeron's AI Screener is an AI-powered discovery tool that helps traders and investors filter thousands of stocks and ETFs using customizable criteria such as industry, market capitalization, technical indicators, price patterns, volatility, and performance metrics. Instead of manually scanning the market, users can screen for trade ideas, trending names, breakout candidates, and shifting opportunities based on AI-driven technical and fundamental signals. For investors evaluating energy-income products, the screener can surface relative strength and trend consistency across midstream holdings. Explore the AI Screener to see how these signals apply to your watchlist.

Tickeron AI Verdict

Based on observable structural and positioning factors, Tickeron's AI would likely express a measured preference for UMI over ATMP in the current environment. UMI's active management, slightly lower expense ratio, and ability to diversify across both MLPs and corporate energy infrastructure offer a more balanced risk profile, while its higher income orientation aligns with prevailing investor demand for yield. ATMP's index-linked MLP exposure is efficient and eliminates K-1 complexity, but its ETN structure adds Barclays credit risk and its concentration amplifies idiosyncratic swings. The balance of cost efficiency, diversification, and trend-consistent sector exposure currently favors UMI, though this reflects probabilistic analysis rather than a prediction of future returns.

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
ATMP vs. UMI commentary
Nov 03, 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 ATMP is a Buy and UMI is a Buy.

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SUMMARIES
A.I.Advisor
a Summary for ATMP with price predictions
Nov 02, 2026

Momentum Indicator for ATMP turns positive, indicating new upward trend

ATMP saw its Momentum Indicator move above the 0 level on October 21, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 103 similar instances where the indicator turned positive. In 96 of the 103 cases, the stock moved higher in the following days. The odds of a move higher are at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for ATMP just turned positive on October 09, 2026. Looking at past instances where ATMP's MACD turned positive, the stock continued to rise in 45 of 51 cases over the following month. The odds of a continued upward trend are 88%.

The 10-day moving average for ATMP crossed bullishly above the 50-day moving average on October 30, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 14 of 16 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 88%.

Following a +2.08% 3-day Advance, the price is estimated to grow further. Considering data from situations where ATMP advanced for three days, in 352 of 387 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.

The Aroon Indicator entered an Uptrend today. In 310 of 351 cases where ATMP Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 88%.

Bearish Trend Analysis

The 10-day RSI Indicator for ATMP moved out of overbought territory on November 02, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 49 similar instances where the indicator moved out of overbought territory. In 39 of the 49 cases, the stock moved lower in the following days. This puts the odds of a move lower at 80%.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 9 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

ATMP moved below its 50-day moving average on November 02, 2026 date and that indicates a change from an upward trend to a downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where ATMP declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 71%.

ATMP broke above its upper Bollinger Band on October 29, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

A.I.Advisor
a Summary for UMI with price predictions
Nov 02, 2026

Momentum Indicator for UMI turns positive, indicating new upward trend

UMI saw its Momentum Indicator move above the 0 level on October 08, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 89 similar instances where the indicator turned positive. In 82 of the 89 cases, the stock moved higher in the following days. The odds of a move higher are at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for UMI just turned positive on October 07, 2026. Looking at past instances where UMI's MACD turned positive, the stock continued to rise in 42 of 48 cases over the following month. The odds of a continued upward trend are 88%.

UMI moved above its 50-day moving average on October 23, 2026 date and that indicates a change from a downward trend to an upward trend.

The 10-day moving average for UMI crossed bullishly above the 50-day moving average on October 29, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 16 of 17 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 90%.

Following a +1.90% 3-day Advance, the price is estimated to grow further. Considering data from situations where UMI advanced for three days, in 356 of 395 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.

The Aroon Indicator entered an Uptrend today. In 288 of 337 cases where UMI Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 85%.

Bearish Trend Analysis

The 10-day RSI Indicator for UMI moved out of overbought territory on November 02, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 42 similar instances where the indicator moved out of overbought territory. In 35 of the 42 cases, the stock moved lower in the following days. This puts the odds of a move lower at 83%.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 9 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where UMI declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 74%.

UMI broke above its upper Bollinger Band on October 29, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

TECHNICAL ANALYSIS
Technical Analysis
ATMPUMI
RSI
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
83%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
77%
Bearish Trend 2 days ago
83%
Momentum
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
MACD
ODDS (%)
Bullish Trend 2 days ago
88%
Bullish Trend 2 days ago
88%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
72%
Bearish Trend 2 days ago
73%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
89%
Advances
ODDS (%)
Bullish Trend 5 days ago
90%
Bullish Trend 5 days ago
90%
Declines
ODDS (%)
Bearish Trend 20 days ago
71%
Bearish Trend 20 days ago
74%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
75%
Bearish Trend 2 days ago
90%
Aroon
ODDS (%)
Bullish Trend 2 days ago
88%
Bullish Trend 2 days ago
85%
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ATMP
Daily Signal:
Gain/Loss:
UMI
Daily Signal:
Gain/Loss:
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ATMP and

Correlation & Price change

A.I.dvisor indicates that over the last year, ATMP has been closely correlated with OKE. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if ATMP jumps, then OKE could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To ATMP
1D Price
Change %
ATMP100%
-3.01%
OKE - ATMP
81%
Closely correlated
-3.63%
KMI - ATMP
75%
Closely correlated
-2.57%
ET - ATMP
73%
Closely correlated
-2.73%
EPD - ATMP
73%
Closely correlated
-2.04%
WMB - ATMP
70%
Closely correlated
-4.25%
More

UMI and

Correlation & Price change

A.I.dvisor indicates that over the last year, UMI has been closely correlated with KMI. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if UMI jumps, then KMI could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To UMI
1D Price
Change %
UMI100%
-2.72%
KMI - UMI
83%
Closely correlated
-2.57%
TRGP - UMI
80%
Closely correlated
-6.43%
OKE - UMI
80%
Closely correlated
-3.63%
WMB - UMI
77%
Closely correlated
-4.25%
AM - UMI
75%
Closely correlated
-2.79%
More
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