Fund index
AIEQ
12 articles on this site analyse AIEQ — 4 of them head-on.
Not measurable from filings
AIEQ is structured as a unit investment trust or commodity trust rather than a registered investment company, so it does not file Form N-PORT and its holdings cannot be measured the way the rest of the concentration table is. Saying so is more useful than quietly leaving it out.
Most often compared against
3Measures applied to it
8All articles
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URA vs URNM vs NLR: Uranium Miners vs Nuclear Utilities — Two Bets on the Same Thesis
URA and URNM express the uranium thesis through mining equity; NLR blends miners with nuclear utilities and fuel-cycle names, and that structural difference...
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12 Months of Live AI-Quant ETFs vs the S&P 500 — Honest Data Review
Across the full live track record (5Y through May 2026), none of the five AI-quant or rules-based factor ETFs in this review beat SPY's 13.8% CAGR. The...
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QRFT Explained: AI-Driven Multi-Factor — Holdings, Fees, and Live Track Record
Over the past five years, the rules-based iShares U.S. Equity Factor ETF (LRGF) returned 13.5% annualized; the AI-enhanced QRAFT U.S. Large Cap ETF (QRFT)...
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AIEQ vs ROBO: AI-Managed vs AI-Themed — Two Different Bets in the Same Wrapper
AIEQ and ROBO both wear "AI" branding, but they are entirely different products: AIEQ uses an AI system as the process for picking US equities; ROBO is a...
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DBMF Deep Dive: How AI-Managed Futures Pick Trends Without Forecasting
DBMF doesn't forecast markets. It reverse-engineers the factor positioning of the top managed-futures hedge funds from their reported returns and replicates...
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AMOM Explained: How AI Weights Momentum Differently from MTUM
MTUM is a $24B rules-based momentum factor ETF charging 0.15%. AMOM is a $30M AI-overlay product charging 0.75%. The construction philosophies are...
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AIEQ Review: 7 Years of Live AI-Managed ETF — What Actually Worked
After more than eight years of live trading, AIEQ has trailed SPY by roughly 700 basis points per year on a 5Y annualized basis, while running 5.3 points...
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GLD vs. DBMF: Gold vs. AI-Managed Managed Futures (Trend Following)
GLD compounded at roughly 20.0% per year over the past five years; DBMF at 8.5%. Reading that gap as "gold won" misunderstands what DBMF is built to do....
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VTI vs. AIEQ: Total Market Index vs. IBM Watson’s AI Selection Performance
Over the trailing five years, VTI compounded at 11.8% annually while AIEQ — the IBM Watson-powered active equity ETF — compounded at 4.4%, a gap of roughly...
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VOO vs. AMOM: Can AI Momentum Outperform the S&P 500? (2026 Analysis)
Over the trailing five years, VOO compounded at 13.1% per year versus AMOM at 9.6% — with roughly 40% more volatility and a maximum drawdown nearly twice as...
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Best AI-Managed ETFs for 2026: A Deep Dive into AIEQ and AMOM
AIEQ (Amplify AI Powered Equity) and AMOM (QRAFT AI-Enhanced Momentum) both charge 0.75% — roughly 25 times the cost of a broad-market index ETF — for an...
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BOTZ vs IRBO: Finding the Most Cost-Effective Entry into Automation
Over the trailing five years, IRBO's equal-weighted approach delivered an 11.1% CAGR versus BOTZ's 4.3% — a 6.8-point gap that dwarfs the 21 bp fee...
Mentions are detected across the full text of every article, so an appearance may be a passing comparison rather than the subject. Nothing here is a recommendation to buy or sell — see the disclaimer.