The investment seeks total return... Show more
The Intelligent Real Estate ETF is an actively managed fund listed on Nasdaq that seeks total return. Rather than tracking a passive index, the fund's sub-adviser, Armada ETF Advisors (d/b/a Armada ETFs), studies the public filings of a select group of non-traded REITs and then constructs a portfolio of publicly traded REITs and MBS designed to mirror the qualitative characteristics of those private portfolios, including sector mix, geography, occupancy, lease duration, and balance-sheet leverage.
Under normal market conditions, the fund invests at least 80% of its net assets in REITs, with MBS generally limited to between zero and 10% of assets. Its holdings are typically concentrated across residential, industrial, net lease, hospitality, self-storage, and AI infrastructure property types, with retail and office exposure permitted as well. The portfolio is non-diversified under the Investment Company Act of 1940 and concentrates in real estate, meaning a single issuer or property type can exert an outsized influence on returns. The fund's total annual operating expense ratio is 0.59%.
Listed real estate operates at the intersection of two powerful macro forces. On one side, REITs are bond-like income instruments whose valuations are heavily influenced by interest rates; when long-term yields rise, the present value of future property cash flows falls, and higher borrowing costs compress acquisition and refinancing economics. On the other, several property subsectors are enjoying structural demand drivers that are largely independent of the rate cycle.
Data center and AI infrastructure real estate is a standout theme, as growing demand for computing power drives leasing activity for data transmission and power generation facilities. Industrial and logistics property continues to benefit from supply-chain reconfiguration, while residential and self-storage assets offer relatively defensive, income-oriented cash flows. Conversely, office and some retail property remain challenged by remote work and shifting tenant demand. Inflation, which feeds property-level revenue growth but also pressures operating costs and rates, remains a central variable for the sector.
REAI has traded in a broad range in recent months, moving between roughly $19.70 and $21.95 per share. After peaking near the upper end of that band in late summer, the fund declined through September and into early October before staging a recovery. Over the most recent 30 days, the fund has risen roughly 6%, while its trailing three-month performance remains approximately flat to modestly negative.
This range-bound behavior is consistent with a rate-sensitive sector digesting shifting monetary policy expectations alongside sector rotation into and out of income-oriented and infrastructure-linked property names. The fund's active, fundamentally driven construction means its relative performance can diverge from cap-weighted REIT benchmarks, as stock selection and property-type tilts, rather than index membership, drive results. Because the fund is non-diversified and concentrated in real estate, individual holding movements and subsector leadership, such as AI infrastructure or industrial property, can meaningfully shape short-term returns.
Tickeron's AI Screener is an AI-powered stock and ETF discovery platform that helps investors search thousands of securities using technical indicators, fundamentals, volatility measures, AI-generated signals, market trends, price patterns, and customizable filters. It is designed to surface trending securities, breakout candidates, and new trading opportunities more efficiently than manual screening, allowing users to narrow the investable universe by industry, performance characteristics, and technical conditions. For investors looking to complement fundamental research with data-driven scanning, the AI Screener offers a structured starting point for identifying ideas across sectors and themes.
Several structural factors are likely to influence REAI over the remainder of 2026. The most consequential remains the path of interest rates: a sustained decline in long-term borrowing costs would generally support REIT valuations and improve acquisition economics, while resurgent yields would act as a headwind. Inflation trends matter in both directions, supporting property-level rent growth while simultaneously pressuring operating margins and financing costs.
Demand for AI infrastructure and data center capacity is a key thematic driver that could support a growing segment of the real estate universe, though elevated capital intensity and power availability constraints warrant monitoring. The earnings cycles of major holdings, occupancy trends, and rent growth across residential, industrial, and self-storage property types will also shape performance. Finally, capital flows into and out of real estate strategies, regulatory developments, and the competitive landscape among thematic and sector ETFs could influence demand for the fund's shares. Investors should weigh these macro and sector forces alongside the fund's concentrated, actively managed structure without treating any single theme as a guarantee of future performance.
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The Moving Average Convergence Divergence (MACD) for REAI turned positive on October 09, 2026. Looking at past instances where REAI's MACD turned positive, the stock continued to rise in 27 of 31 cases over the following month. The odds of a continued upward trend are 87%.
The Momentum Indicator moved above the 0 level on October 27, 2026. You may want to consider a long position or call options on REAI as a result. In 38 of 55 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 69%.
REAI moved above its 50-day moving average on November 03, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for REAI crossed bullishly above the 50-day moving average on November 06, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 5 of 10 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 50%.
Following a +3.59% 3-day Advance, the price is estimated to grow further. Considering data from situations where REAI advanced for three days, in 102 of 133 cases, the price rose further within the following month. The odds of a continued upward trend are 77%.
The 10-day RSI Indicator for REAI 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 18 similar instances where the indicator moved out of overbought territory. In 16 of the 18 cases, the stock moved lower in the following days. This puts the odds of a move lower at 89%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 35 of 45 cases where REAI's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 78%.
The 50-day moving average for REAI 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 REAI 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 76%.
REAI 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.
The Aroon Indicator for REAI entered a downward trend on October 28, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows