Fund · QRAFT AI-Enhanced U.S. Large Cap Momentum ETF · measured from SEC filings
AMOM holdings
AMOM reports 51 holdings and behaves like 38.5 equally weighted ones, computed from its SEC Form N-PORT filing for 2026-07-31. The fact sheet publishes the first number; this page computes the second, and traces it across 25 quarters of filings.
Measured concentration
as of 2026-07-31Computed by this site from the fund's SEC Form N-PORT filing; what the measure does not tell you · every fund in one table . Pricing: 100% at a quoted market price (level 1), 3 issuer countries.
What stands out
as of 2026-07-31Ten companies are 37.49% of the fund; the other 41 share the rest. Among the 721 equity funds measured here, AMOM behaves like 38.5 holdings against a median of 42.4 — close to the median. Across 25 quarterly filings AMOM has held roughly steady since 2020-04-30 (28.4 then, 30.2 now). Between the 2026-01-31 and 2026-04-30 filings 7 positions were added and 7 dropped; 16.0% of the weight moved.
Each sentence is read from the fund's own SEC filing; the class median is computed across the comparable equity funds on this site. Nothing here is a view on the fund.
Every filing since 2020
25Between 2020-04-30 and 2026-04-30, AMOM went from behaving like 28.4 equally weighted positions to 30.2 — 6% more, while its top ten went from 45.46% to 44.34% of net assets. Read across the funds on the concentration-over-time table.
| Period | Holdings | Effective | Top 10 | Largest |
|---|---|---|---|---|
| 2026-04-30 | 51 | 30.2 | 44.34% | 8.71% |
| 2026-01-31 | 51 | 30.4 | 44.72% | 8.77% |
| 2025-10-31 | 51 | 30.3 | 46.09% | 9.26% |
| 2025-07-31 | 51 | 29.4 | 45.04% | 10.04% |
| 2025-04-30 | 51 | 30.6 | 46.68% | 8.71% |
| 2025-01-31 | 51 | 31.3 | 43.52% | 7.72% |
| 2024-10-31 | 51 | 25.8 | 50.77% | 9.93% |
| 2024-07-31 | 51 | 29.5 | 45.14% | 8.7% |
Earlier filings (17 more, back to 2020-04-30)
| Period | Holdings | Effective | Top 10 | Largest |
|---|---|---|---|---|
| 2024-04-30 | 51 | 29.2 | 46.5% | 9.11% |
| 2024-01-31 | 51 | 27.3 | 50.46% | 9.02% |
| 2023-10-31 | 51 | 24.6 | 51.62% | 8.36% |
| 2023-07-31 | 51 | 25.9 | 49.94% | 7.99% |
| 2023-04-28 | 51 | 33 | 42.03% | 8.01% |
| 2023-01-31 | 51 | 30.8 | 44.42% | 7.39% |
| 2022-10-31 | 51 | 34.9 | 38.78% | 7.76% |
| 2022-07-29 | 51 | 32.7 | 42.08% | 7.78% |
| 2022-04-29 | 51 | 38.2 | 36.34% | 7.66% |
| 2022-01-31 | 51 | 29.6 | 48.28% | 8.32% |
| 2021-10-29 | 51 | 36.9 | 35.88% | 7.57% |
| 2021-07-30 | 51 | 45.8 | 30.33% | 3.85% |
| 2021-04-30 | 51 | 35.6 | 37.24% | 8.61% |
| 2021-01-29 | 51 | 31.2 | 43.19% | 7.97% |
| 2020-10-30 | 51 | 32.4 | 41.56% | 7.99% |
| 2020-07-31 | 52 | 33.1 | 40.25% | 9.3% |
| 2020-04-30 | 49 | 28.4 | 45.46% | 8.55% |
One row per filed reporting period, newest first, read from EDGAR. Quarterly because that is the public filing cadence. Rows marked * are published but held out of the comparison above; the methodology page says when and why.
Compared with, in the essays
4By country of issuer
as of 2026-04-30Share of AMOM's own investments by the issuer country the filer reported (incorporation, not revenue). Each country links to every fund that holds it.
| Country | Share |
|---|---|
| United States | 96.36% |
| Ireland° | 2.40% |
| Liberia° | 1.25% |
Returns the fund reported
2020-02 – 2026-04Monthly total returns from Item B.5 of AMOM's own filings, 75 months on record. Not computed here and not from a price feed.
Cross-checked against a series computed separately from prices: median difference — percentage points over 0 months, which is roughly the distributions. Every month with the filing it came from: AMOM.json · all funds.
Since the previous filing
2026-01-31 → 2026-04-3051 positions became 51: 7 added (11.5% of the fund at the later date), 7 dropped (11.5% at the earlier date). Half the sum of all weight changes, a turnover proxy: 16.0%. Positions are matched on identifiers, so a security whose identifier changed shows as one drop and one add. Every filing of AMOM compared this way, as a feed: changes.xml · all funds: filings received.
| Largest increases | 2026-01-31 | 2026-04-30 | Largest decreases | 2026-01-31 | 2026-04-30 |
|---|---|---|---|---|---|
| BROADCOM INC | 5.09% | 5.62% | ELI LILLY & COMPANY | 4.60% | 4.04% |
| SEAGATE TECHNOLOGY HOLDINGS PLC | 1.87% | 2.40% | LAM RESEARCH CORP | 2.13% | 1.62% |
| WESTERN DIGITAL CORP | 1.82% | 2.28% | ROYAL CARIBBEAN CRUISES LTD | 1.64% | 1.25% |
| ALPHABET INC | 6.84% | 7.30% | APPLIED MATERIALS INC | 1.89% | 1.57% |
| ADVANCED MICRO DEVICES INC | 2.37% | 2.76% | GE AEROSPACE | 2.75% | 2.46% |
| QUANTA SERVICES INC | 1.45% | 1.80% | MICRON TECHNOLOGY INC | 2.96% | 2.68% |
New: META PLATFORMS INC (5.07%), INTEL CORP (2.48%), CENCORA INC (1.17%), STEEL DYNAMICS INC (1.08%), WILLIAMS SONOMA INC (0.78%), HUNTINGTON INGALLS INDUSTRIES INC (0.66%). Gone: Tesla Inc (5.51%), Morgan Stanley (2.66%), Axon Enterprise Inc (0.95%), Synchrony Financial (0.82%), Fox Corporation (0.70%), Invesco Ltd (0.66%).
Asset categories and pricing
as of 2026-07-3199.51% equity, 0.49% short-term investment as filed; 100.0% carried at a quoted market price (fair-value level 1). Categories and levels are the filer's; what a low level-1 share does and does not mean is in the measure's page.
Neighbours by effective holdings, equity funds
10Every measured equity fund lined up by how many holdings it behaves like; these sit either side of AMOM (38.5). Same filings, same arithmetic. Position in this list says nothing about which fund is better.
| Fund | Reports | Behaves like | Top ten | As of |
|---|---|---|---|---|
| NTSX WisdomTree U.S. Efficient Core Fund | 506 | 38 * | 42.57% | 2026-06-30 |
| IPKW Invesco International BuyBack AchieversTM ETF | 160 | 38 | 43.72% | 2026-07-31 |
| BLOK Amplify Blockchain Technology ETF | 55 | 38.1 | 37.55% | 2026-06-30 |
| FVAL Fidelity Value Factor ETF | 127 | 38.1 | 42.28% | 2026-07-31 |
| VGSR Vert Global Sustainable Real Estate ETF | 144 | 38.4 | 44.92% | 2026-06-30 |
| EWJV iShares MSCI Japan Value ETF | 110 | 38.8 | 40.62% | 2026-05-31 |
| IEMG iShares Core MSCI Emerging Markets ETF | 2,697 | 38.9 | 33.92% | 2026-05-31 |
| DUHP Dimensional US High Profitability ETF | 150 | 39.3 | 41.44% | 2026-07-31 |
| EMGF iShares Emerging Markets Equity Factor ETF | 631 | 39.3 | 35.68% | 2026-05-31 |
| SEEM SEI Select Emerging Markets Equity ETF | 264 | 39.3 | 36.11% | 2026-06-30 |
Measures applied in the essays
8Essays that examine AMOM
22-
Absolute Momentum as a Risk Switch: What Time-Series Trend Following Does That Buy-and-Hold Can't
Absolute (time-series) momentum uses an asset's own past return as a binary risk switch: hold when the trend is positive, step aside when it turns negative....
-
Momentum Crashes: The Rare, Violent Drawdowns Hiding Inside MTUM
MTUM has compounded at 16.3% over ten years, but its risk is negatively skewed: the danger sits in rare, sharp reversals rather than in day-to-day...
-
Momentum Crashes, Explained: Why the Most Crowded Trades Unwind Fastest
Momentum earns a long-run premium but carries deep negative skew: the strategy's worst days cluster together and arrive precisely when a crowded trade...
-
QRFT vs AMOM: AI-Driven Quality vs AI-Driven Momentum — A Head-to-Head Read
QRFT and AMOM share an issuer, an inception date, and an identical 0.75% expense ratio — so this is a clean test of factor tilt, not cost or structure. Over...
-
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...
-
FCTR vs LRGF: Where AI Actually Changes the Multi-Factor Loading
LRGF has returned 13.5% annualized over the past five years; FCTR has returned 3.0%. A 10.5-percentage-point gap that wide is structural, not noise. FCTR's...
-
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)...
-
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...
-
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...
-
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...
-
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...
-
The Ultimate 2026 Hybrid Portfolio: How to Mix Classic ETFs with AI Quant
The hybrid framework — a low-cost passive core plus a small AI-quant satellite — only earns its keep when the satellite delivers exposure the core does not....
-
VUG vs. TTAI: Large-Cap Growth vs. AI-Based Tactical Theme Rotation
VUG and TTAI are not the matchup the legacy title suggests. TTAI today is the Abacus FCF International Leaders ETF — a free-cash-flow-weighted international...
-
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....
-
VNQ vs. PPTY: REITs Index vs. AI-Powered Real Estate Value Analysis
VNQ is the cheap, deep, market-cap-weighted way to own U.S. listed real estate; PPTY is a fundamentals-tilted alternative that markets itself as smarter...
-
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...
-
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...
-
The "All-Weather" AI Portfolio: Combining Diversification with Predictive Power
Dalio's "all-weather" idea is sound on its merits — risk-balanced exposure across four macro environments — and is implementable today with five or six...
-
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...
-
The Future of Active Management: How AI Agents are Replacing Traditional Hedge Funds
"Agentic AI replaces hedge funds" is a marketing frame, not a structural claim — Sharpe's (1991) arithmetic of active management does not bend because the...
-
VOO vs. MTUM vs. QUAL: Which Smart Beta ETF Wins Numerically? (Backtest Analysis)
Over the trailing five years, the cap-weighted S&P 500 (VOO) actually outperformed both factor ETFs on raw return — 13.1% CAGR versus MTUM's 11.5% and...
-
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.