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ICF vs INDS
Which ETF would AI Choose? iShares Cohen & Steers REIT ETF (ICF) vs. Pacer Benchmark Industrial Real Estate SCTR ETF (INDS)
Key Takeaways
- ICF offers broadly diversified, large-cap U.S. real estate investment trust (REIT) exposure across roughly 30 holdings, while INDS concentrates on industrial and self-storage real estate across developed markets.
- ICF carries a lower expense ratio (0.32%) and significantly greater scale and liquidity than INDS, which charges 0.49% and holds a much smaller asset base.
- INDS delivers higher-conviction thematic exposure, with its top three positions typically accounting for roughly 40–45% of the portfolio, versus more balanced single-name weights in ICF.
- Both funds are non-diversified and rate-sensitive, but ICF spans towers, data centers, retail, residential, healthcare, and industrial property types, while INDS is anchored to logistics and storage.
- Tickeron AI Verdict: ICF is the favored ticker based on its lower cost, broader diversification, and stronger liquidity profile.
Introduction
ICF and INDS both belong to the real estate ETF category, yet they answer very different portfolio questions. ICF is a broad, large-cap U.S. REIT vehicle, while INDS is a narrow thematic fund targeting industrial and self-storage real estate companies across developed markets. Investors comparing these funds are effectively weighing diversified property exposure against a concentrated bet on logistics, warehousing, and storage — themes tied to e-commerce, supply-chain reconfiguration, and data infrastructure. This ETF comparison examines structural differences, sector exposure, fund performance, and relative positioning to clarify which vehicle may better suit a given objective in the current rate environment.
iShares Cohen & Steers REIT ETF (ICF) Overview
ICF is a passively managed fund from BlackRock that seeks to track the Cohen & Steers Realty Majors Index, a benchmark of relatively large and liquid U.S. REITs. The portfolio holds approximately 30 securities and is non-diversified, meaning its performance can be meaningfully shaped by a handful of names. Its top holdings have recently included Welltower (WELL), Prologis (PLD), Equinix (EQIX), American Tower (AMT), Simon Property Group (SPG), Public Storage (PSA), Realty Income (O), and Digital Realty (DLR).
Sector allocation spans telecom tower REITs, retail REITs, data center REITs, multifamily residential REITs, healthcare REITs, industrial REITs, and self-storage REITs. This breadth makes ICF a proxy for the broader U.S. commercial real estate landscape rather than any single property type. The fund charges a net expense ratio of 0.32% and uses representative sampling to track its index. Its long operating history, dating to 2001, and comparatively deep trading volume support efficient execution for both retail and institutional investors.
Pacer Benchmark Industrial Real Estate SCTR ETF (INDS) Overview
INDS is a passively managed thematic fund from Pacer that tracks the Solactive GPR Industrial Real Estate Index. The index selects developed-market companies deriving at least 85% of their earnings or revenues from industrial real estate operations, including self-storage. The portfolio holds roughly 30 securities and is also non-diversified, with pronounced concentration at the top. Leading positions have recently included Prologis (PLD), Extra Space Storage (EXR), Public Storage (PSA), EastGroup Properties (EGP), W.P. Carey (WPC), CubeSmart (CUBE), Rexford Industrial Realty (REXR), and First Industrial Realty Trust (FR).
Unlike ICF, INDS includes international names, with meaningful exposure to developed markets such as the United Kingdom, Japan, Singapore, and continental Europe, though U.S. listings still dominate. The fund carries a net expense ratio of 0.49% and launched in 2018. Its narrower mandate and smaller asset base contribute to lower liquidity than ICF and greater sensitivity to the fortunes of a concentrated group of logistics and storage operators.
Industry and Thematic Backdrop
Both funds operate within a real estate sector whose valuations are heavily influenced by interest-rate expectations. REITs typically compete with fixed income for investor capital, so the trajectory of monetary policy and long-term yields is a central driver of returns. Within that backdrop, the two ETFs face distinct catalysts. ICF benefits from secular demand tied to data centers, telecom towers, and artificial-intelligence-driven infrastructure, alongside the steady income characteristics of net-lease, healthcare, and storage properties. INDS, by contrast, is levered to logistics real estate, which draws support from e-commerce penetration, supply-chain diversification, and onshoring trends. Risks include cyclical softening in industrial absorption, elevated new supply in certain warehouse markets, and the interest-rate sensitivity common to all property equities.
Performance and Positioning Comparison
In recent market cycles, the two funds have diverged based on their structural tilts. ICF's diversified property mix has allowed it to capture strength in data centers and towers while cushioning weakness in more cyclical segments. INDS has been more sensitive to logistics and self-storage fundamentals; when e-commerce and industrial leasing have firmed, its concentrated exposure has amplified upside, but the same concentration has magnified drawdowns during supply-driven or rate-driven pullbacks. From a volatility standpoint, INDS's heavier top-three concentration and smaller size suggest a higher-risk profile relative to ICF. Cost and liquidity also favor ICF, while INDS offers purer thematic exposure for investors with a specific logistics and storage conviction. These differences make relative positioning more a question of conviction than of one fund being universally superior.
AI Screener
Tickeron's AI Screener is an AI-powered stock and ETF discovery tool designed to help traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of securities using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps surface trade ideas, trending names, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to refine your own ETF and stock research process.
Tickeron AI Verdict
Based on observable structural factors, Tickeron's AI would likely favor ICF at present. ICF offers a materially lower expense ratio (0.32% versus 0.49%), broader property-type diversification, and substantially greater scale and trading liquidity than INDS. Its blend of data center, tower, net-lease, healthcare, and industrial exposure provides access to durable secular growth themes without the concentration risk embedded in INDS's top-heavy industrial and self-storage lineup. While INDS may outperform during periods of strong logistics demand, its higher cost, smaller asset base, and narrower mandate introduce additional risk that the AI's assessment would treat as a relative disadvantage. Accordingly, ICF emerges as the more balanced, cost-efficient choice.
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.
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 ICF is a Buy and INDS is a Buy.
ICF in upward trend: price rose above 50-day moving average on October 29, 2026
ICF moved above its 50-day moving average on October 29, 2026 date and that indicates a change from a downward trend to an upward trend. In 48 of 57 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are 84%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Momentum Indicator moved above the 0 level on October 09, 2026. You may want to consider a long position or call options on ICF as a result. In 71 of 91 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 78%.
The Moving Average Convergence Divergence (MACD) for ICF just turned positive on October 09, 2026. Looking at past instances where ICF's MACD turned positive, the stock continued to rise in 39 of 48 cases over the following month. The odds of a continued upward trend are 81%.
The 10-day moving average for ICF 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 14 of 18 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 78%.
Following a +1.65% 3-day Advance, the price is estimated to grow further. Considering data from situations where ICF advanced for three days, in 267 of 319 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
The Aroon Indicator entered an Uptrend today. In 227 of 295 cases where ICF Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 77%.
Bearish Trend Analysis
The 10-day RSI Indicator for ICF moved out of overbought territory on November 05, 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 27 similar instances where the indicator moved out of overbought territory. In 24 of the 27 cases, the stock moved lower in the following days. This puts the odds of a move lower at 89%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 7 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The 50-day moving average for ICF moved below the 200-day moving average on October 28, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where ICF 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 85%.
ICF broke above its upper Bollinger Band on November 04, 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.
INDS's MACD Histogram just turned positive
The Moving Average Convergence Divergence (MACD) for INDS turned positive on October 09, 2026. Looking at past instances where INDS's MACD turned positive, the stock continued to rise in 47 of 50 cases over the following month. The odds of a continued upward trend are 90%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Momentum Indicator moved above the 0 level on October 14, 2026. You may want to consider a long position or call options on INDS as a result. In 71 of 81 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 88%.
INDS moved above its 50-day moving average on October 29, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for INDS crossed bullishly above the 50-day moving average on November 02, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 15 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 90%.
Following a +2.54% 3-day Advance, the price is estimated to grow further. Considering data from situations where INDS advanced for three days, in 267 of 319 cases, the price rose further within the following month. The odds of a continued upward trend are 84%.
The Aroon Indicator entered an Uptrend today. In 197 of 243 cases where INDS Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 81%.
Bearish Trend Analysis
The 10-day RSI Indicator for INDS moved out of overbought territory on November 05, 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 21 similar instances where the indicator moved out of overbought territory. In 19 of the 21 cases, the stock moved lower in the following days. This puts the odds of a move lower at 90%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 15 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The 50-day moving average for INDS moved below the 200-day moving average on October 20, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where INDS 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 88%.
INDS broke above its upper Bollinger Band on November 04, 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.
| ICF | INDS | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 76% | 1 day ago 79% |
| Momentum ODDS (%) | 1 day ago 78% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 81% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 82% |
| TrendMonth ODDS (%) | 1 day ago 80% | 1 day ago 81% |
| Advances ODDS (%) | 1 day ago 84% | 10 days ago 84% |
| Declines ODDS (%) | 6 days ago 85% | 6 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 87% |
| Aroon ODDS (%) | 1 day ago 77% | 1 day ago 81% |
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ICF and
Correlation & Price change
A.I.dvisor indicates that over the last year, ICF has been closely correlated with EXR. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICF jumps, then EXR could also see price increases.
INDS and
Correlation & Price change
A.I.dvisor indicates that over the last year, INDS has been closely correlated with EXR. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if INDS jumps, then EXR could also see price increases.
| Ticker / NAME | Correlation To INDS | 1D Price Change % | ||
|---|---|---|---|---|
| INDS | 100% | -0.76% | ||
| EXR - INDS | 82% Closely correlated | -0.76% | ||
| CUBE - INDS | 82% Closely correlated | +0.04% | ||
| PSA - INDS | 81% Closely correlated | -0.66% | ||
| PLD - INDS | 75% Closely correlated | -0.34% | ||
| TRNO - INDS | 71% Closely correlated | -0.49% | ||
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