QRAFT AI-Enhanced U.S. Large Cap Momentum ETF
Name
As of 11/19/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
Vitals
YTD Return
35.9%
1 yr return
41.3%
3 Yr Avg Return
7.1%
5 Yr Avg Return
17.8%
Net Assets
$16.2 M
Holdings in Top 10
45.2%
52 WEEK LOW AND HIGH
Expenses
OPERATING FEES
Expense Ratio 0.75%
SALES FEES
Front Load N/A
Deferred Load N/A
TRADING FEES
Turnover N/A
Redemption Fee N/A
Min Investment
Standard (Taxable)
N/A
IRA
N/A
Fund Classification
Fund Type
Exchange Traded Fund
Name
As of 11/19/2024Price
Aum/Mkt Cap
YIELD
Exp Ratio
Watchlist
AMOM - Profile
Distributions
- YTD Total Return 35.9%
- 3 Yr Annualized Total Return 7.1%
- 5 Yr Annualized Total Return 17.8%
- Capital Gain Distribution Frequency N/A
- Net Income Ratio -0.13%
- Dividend Yield 0.0%
- Dividend Distribution Frequency Quarterly
Fund Details
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Legal NameQRAFT AI-Enhanced U.S. Large Cap Momentum ETF
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Fund Family NameExchange Traded Concepts
-
Inception DateMay 20, 2019
-
Shares Outstanding549947
-
Share ClassN/A
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CurrencyUSD
-
Domiciled CountryUS
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ManagerAndrew Serowik
Fund Description
The Fund is an actively-managed exchange-traded fund (“ETF”) that seeks to achieve its investment objective by utilizing an investment strategy enhanced by the use of artificial intelligence, as described below. Under normal circumstances, the Fund invests at least 80% of its net assets (plus the amounts of any borrowings for investment purposes) in securities of U.S.-listed large capitalization companies. The Fund defines large capitalization companies as those that, at the time of investment, have a minimum market capitalization equal to or greater than the minimum market capitalization of a widely recognized index of large capitalization companies based upon the composition of the index at the time of investment (the “Universe”). The Fund invests in equity securities of such companies, including common stock, American Depositary Receipts (“ADRs”), and Global Depositary Receipts (“GDRs”). The Fund’s adviser, Exchange Traded Concepts, LLC (the “Adviser”), uses an investment process based on a proprietary artificial intelligence security selection process that extracts patterns from analyzing data, as discussed below, developed by QRAFT Technologies, Inc. (“Qraft”). Qraft is a South Korea-based provider of artificial intelligence investment systems and currently offers services to various financial institutions in Korea. Qraft has licensed its proprietary artificial intelligence security selection process to the Adviser for purposes of managing the Fund.
In pursuing the Fund’s investment objective, the Adviser consults a database generated by Qraft’s AI Quantitative Investment System (“QRAFT AI”), which automatically evaluates and filters data according to parameters supporting a particular investment thesis. For the Fund’s database, QRAFT AI filters the securities in the Universe into an investment pool of 100 to 200 stocks using a proprietary momentum factor scoring formula based on momentum factors including but not limited to 12-month momentum and risk-adjusted 12-month momentum. “Momentum” is defined as the rate of acceleration of a security’s price. QRAFT AI then estimates each stock’s relative superiority of price appreciation (i.e., increase in stock price) over the rest of the pool for the next four week investment period using deep learning technologies (i.e., exposure to and processing of large amounts of data) and the distribution of each stock’s relative superiority of price appreciation for the same period using deep learning architectures such as Bayesian neural networks that estimate the uncertainty of its forecast, and selects the top 50 stocks based on the average of the distribution of each stock’s relative superiority of price appreciation for inclusion in the database. The stocks included in the database are weighted pursuant to a methodology designed to maximize risk-adjusted return.
The Fund expects to hold 50 companies in its portfolio. While it is anticipated that the Adviser will purchase and sell securities based on recommendations of QRAFT AI, the Adviser has full discretion over investment decisions for the Fund. Therefore, the Adviser has full decision-making power not only if it identifies a potential technical issue or error with the QRAFT AI, but also if it believes that the recommended portfolio does not further the Fund’s investment objective or fails to take into account company events such as corporate actions, mergers and spin-offs. Additionally, the Adviser has discretion over the amount of cash maintained in the Fund’s portfolio and the reinvestment of dividends in the Fund’s portfolio, subject to the Fund’s distribution requirements as a regulated investment company (“RIC”) under Subchapter M of the Internal Revenue Code of 1986, as amended. See “Federal Income Taxes” in the Fund’s SAI for a more complete discussion. Notwithstanding the foregoing, the Fund limits the weighting of a single company to 10% and no more than 40% of the Fund’s assets may be invested in securities with a more than 5% weighting in the Fund’s portfolio. Because the database is adjusted every four weeks, the Adviser expects that the Fund will frequently purchase and sell shares of securities.
While investing in a particular market sector is not a strategy of the Fund, its portfolio may be significantly invested in one or more sectors as a result of the security selection decisions made pursuant to its strategy. As of August 1, 2024, a significant portion of the Fund’s assets consisted of securities of companies in the Information Technology Sector, Consumer Discretionary Sector, and Industrials Sector, although this may change from time to time. The Fund is non-diversified and may invest a greater percentage of its assets in a particular issuer than a diversified fund.
AMOM - Performance
Return Ranking - Trailing
Period | AMOM Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | 35.9% | -0.3% | 50.1% | 9.39% |
1 Yr | 41.3% | 3.3% | 68.8% | 12.00% |
3 Yr | 7.1%* | -25.9% | 24.2% | 32.10% |
5 Yr | 17.8%* | -14.0% | 29.6% | 21.44% |
10 Yr | N/A* | -4.9% | 19.8% | 78.08% |
* Annualized
Return Ranking - Calendar
Period | AMOM Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | 26.4% | -74.1% | 72.4% | 70.65% |
2022 | -26.9% | -85.9% | 4.7% | 17.59% |
2021 | 12.3% | -52.4% | 60.5% | 35.78% |
2020 | 23.6% | -34.3% | 145.0% | 60.21% |
2019 | N/A | -6.9% | 49.4% | N/A |
Total Return Ranking - Trailing
Period | AMOM Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
YTD | 35.9% | -0.3% | 50.1% | 9.39% |
1 Yr | 41.3% | 3.3% | 68.8% | 12.00% |
3 Yr | 7.1%* | -25.9% | 24.2% | 32.10% |
5 Yr | 17.8%* | -14.0% | 29.6% | 21.44% |
10 Yr | N/A* | -4.9% | 19.8% | N/A |
* Annualized
Total Return Ranking - Calendar
Period | AMOM Return | Category Return Low | Category Return High | Rank in Category (%) |
---|---|---|---|---|
2023 | 27.1% | -4.6% | 72.4% | 82.43% |
2022 | -26.3% | -61.7% | 5.6% | 26.34% |
2021 | 13.1% | -39.8% | 118.1% | 83.27% |
2020 | 53.7% | 2.8% | 149.2% | 12.81% |
2019 | N/A | -5.2% | 49.4% | N/A |
AMOM - Holdings
Concentration Analysis
AMOM | Category Low | Category High | AMOM % Rank | |
---|---|---|---|---|
Net Assets | 16.2 M | 296 K | 287 B | 98.11% |
Number of Holdings | 51 | 2 | 3061 | 63.24% |
Net Assets in Top 10 | 10 M | 126 K | 151 B | 97.39% |
Weighting of Top 10 | 45.16% | 0.7% | 205.0% | 76.24% |
Top 10 Holdings
- NVIDIA CORP 8.70%
- TESLA INC 6.91%
- ELI LILLY CO 6.58%
- BROADCOM INC 5.66%
- AMAZON.COM INC 4.93%
- EATON CORP PLC 2.73%
- CINTAS CORP 2.58%
- TRANE TECHNOLOGI 2.45%
- ADV MICRO DEVICE 2.38%
- TRANSDIGM GROUP 2.23%
Asset Allocation
Weighting | Return Low | Return High | AMOM % Rank | |
---|---|---|---|---|
Stocks | 99.83% | 0.00% | 115.30% | 12.61% |
Cash | 0.20% | 0.00% | 173.52% | 79.91% |
Preferred Stocks | 0.00% | 0.00% | 10.69% | 56.94% |
Other | 0.00% | -31.50% | 50.35% | 59.28% |
Convertible Bonds | 0.00% | 0.00% | 1.94% | 50.18% |
Bonds | 0.00% | 0.00% | 102.71% | 51.80% |
Stock Sector Breakdown
Weighting | Return Low | Return High | AMOM % Rank | |
---|---|---|---|---|
Energy | 28.69% | 0.00% | 41.09% | 0.27% |
Consumer Defense | 22.74% | 0.00% | 25.50% | 0.72% |
Basic Materials | 14.91% | 0.00% | 18.91% | 0.45% |
Consumer Cyclical | 12.22% | 0.00% | 62.57% | 72.29% |
Healthcare | 9.90% | 0.00% | 39.76% | 76.81% |
Industrials | 8.34% | 0.00% | 30.65% | 22.11% |
Technology | 3.21% | 0.00% | 65.70% | 99.73% |
Utilities | 0.00% | 0.00% | 16.07% | 64.89% |
Real Estate | 0.00% | 0.00% | 16.05% | 83.57% |
Financial Services | 0.00% | 0.00% | 43.06% | 99.55% |
Communication Services | 0.00% | 0.00% | 66.40% | 98.56% |
Stock Geographic Breakdown
Weighting | Return Low | Return High | AMOM % Rank | |
---|---|---|---|---|
US | 99.83% | 0.00% | 115.30% | 9.82% |
Non US | 0.00% | 0.00% | 75.51% | 65.77% |
AMOM - Expenses
Operational Fees
AMOM Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Expense Ratio | 0.75% | 0.01% | 28.71% | 68.72% |
Management Fee | 0.75% | 0.00% | 1.50% | 81.58% |
12b-1 Fee | 0.00% | 0.00% | 1.00% | 9.76% |
Administrative Fee | N/A | 0.01% | 1.02% | N/A |
Sales Fees
AMOM Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Front Load | N/A | 2.25% | 8.50% | N/A |
Deferred Load | N/A | 1.00% | 5.00% | N/A |
Trading Fees
AMOM Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Max Redemption Fee | N/A | 1.00% | 2.00% | N/A |
Related Fees
Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.
AMOM Fees (% of AUM) | Category Return Low | Category Return High | Rank in Category (%) | |
---|---|---|---|---|
Turnover | N/A | 0.00% | 316.74% | N/A |
AMOM - Distributions
Dividend Yield Analysis
AMOM | Category Low | Category High | AMOM % Rank | |
---|---|---|---|---|
Dividend Yield | 0.00% | 0.00% | 27.58% | 34.54% |
Dividend Distribution Analysis
AMOM | Category Low | Category High | Category Mod | |
---|---|---|---|---|
Dividend Distribution Frequency | Quarterly | Annually | Annual | Annual |
Net Income Ratio Analysis
AMOM | Category Low | Category High | AMOM % Rank | |
---|---|---|---|---|
Net Income Ratio | -0.13% | -6.13% | 3.48% | 35.36% |
Capital Gain Distribution Analysis
AMOM | Category Low | Category High | Capital Mode | |
---|---|---|---|---|
Capital Gain Distribution Frequency | Annually | Annually | Annually |
Distributions History
Date | Amount | Type |
---|---|---|
Dec 26, 2023 | $0.070 | OrdinaryDividend |
Sep 26, 2023 | $0.021 | OrdinaryDividend |
Jun 27, 2023 | $0.024 | OrdinaryDividend |
Mar 27, 2023 | $0.042 | OrdinaryDividend |
Dec 27, 2022 | $0.069 | OrdinaryDividend |
Sep 27, 2022 | $0.058 | OrdinaryDividend |
Jun 24, 2022 | $0.062 | OrdinaryDividend |
Dec 28, 2021 | $0.267 | OrdinaryDividend |
Dec 28, 2020 | $7.794 | OrdinaryDividend |
Dec 23, 2019 | $1.430 | OrdinaryDividend |
AMOM - Fund Manager Analysis
Managers
Andrew Serowik
Start Date
Tenure
Tenure Rank
May 20, 2019
3.03
3.0%
Mr. Serowik joined Exchange Traded Concepts, LLC from Goldman Sachs in May 2018. He began his career at Spear, Leeds & Kellogg, continuing with Goldman after its acquisition of SLK in September 2000. During his career of more than 18 years at the combined companies, he held various roles, including managing the global Quant ETF Strats team and One Delta ETF Strats. He designed and developed systems for portfolio risk calculation, algorithmic ETF trading, and execution monitoring, with experience across all asset classes. He graduated from the University of Michigan with a Bachelor of Business Administration degree in Finance.
Gabriel Tan
Start Date
Tenure
Tenure Rank
May 18, 2021
1.04
1.0%
Mr. Tan joined Exchange Traded Concepts, LLC in May 2019 as an Associate Portfolio Manager and was promoted to Portfolio Manager in December 2020. He began his career at UBS and BBR Partners where he worked as a financial planning analyst and a portfolio strategist for over four years. During his time there, he developed comprehensive wealth management solutions focused on portfolio optimization, trust and estate planning, and tax planning.
Todd Alberico
Start Date
Tenure
Tenure Rank
May 18, 2021
1.04
1.0%
Mr. Alberico joined Exchange Traded Concepts, LLC in November 2020, having spent the past 14 years in ETF trading at Goldman Sachs, Cantor Fitzgerald, and, most recently, Virtu Financial. He spent most of that time focused on the Trading and Portfolio Risk Management of ETFs exposed to international and domestic equity. He has worked on several different strategies including lead market-making and electronic trading, to customer facing institutional business developing models for block trading as well as transitional trades. Mr. Alberico graduated from St. John’s University in NY with a Bachelor of Science degree in Finance.
Tenure Analysis
Category Low | Category High | Category Average | Category Mode |
---|---|---|---|
0.04 | 54.45 | 8.24 | 3.08 |