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Trending ETFs

Name

As of 12/20/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

$45.88

$40.3 M

0.00%

0.75%

Vitals

YTD Return

36.5%

1 yr return

38.4%

3 Yr Avg Return

10.5%

5 Yr Avg Return

17.2%

Net Assets

$40.3 M

Holdings in Top 10

45.2%

52 WEEK LOW AND HIGH

$45.4
$32.57
$48.80

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 12/20/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

$45.88

$40.3 M

0.00%

0.75%

AMOM - Profile

Distributions

  • YTD Total Return 36.5%
  • 3 Yr Annualized Total Return 10.5%
  • 5 Yr Annualized Total Return 17.2%
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio -0.13%
DIVIDENDS
  • Dividend Yield 0.0%
  • Dividend Distribution Frequency Quarterly

Fund Details

  • Legal Name
    QRAFT AI-Enhanced U.S. Large Cap Momentum ETF
  • Fund Family Name
    Exchange Traded Concepts
  • Inception Date
    May 20, 2019
  • Shares Outstanding
    549947
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    US
  • Manager
    Andrew 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.

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AMOM - Performance

Return Ranking - Trailing

Period AMOM Return Category Return Low Category Return High Rank in Category (%)
YTD 36.5% -6.1% 52.5% 14.27%
1 Yr 38.4% -4.9% 55.1% 12.00%
3 Yr 10.5%* -23.8% 24.5% 26.56%
5 Yr 17.2%* -15.0% 30.3% 24.83%
10 Yr N/A* -5.5% 21.7% 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% 70.62%
2022 -26.9% -85.9% 4.7% 17.61%
2021 12.3% -52.4% 60.5% 35.83%
2020 23.6% -34.3% 145.0% 60.33%
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 36.5% -6.1% 52.5% 14.27%
1 Yr 38.4% -4.9% 55.1% 12.00%
3 Yr 10.5%* -23.8% 24.5% 26.56%
5 Yr 17.2%* -15.0% 30.3% 24.83%
10 Yr N/A* -5.5% 21.7% 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% 82.39%
2022 -26.3% -61.7% 5.6% 26.41%
2021 13.1% -39.8% 118.1% 83.26%
2020 53.7% 2.8% 149.2% 12.90%
2019 N/A -5.2% 49.4% N/A

AMOM - Holdings

Concentration Analysis

AMOM Category Low Category High AMOM % Rank
Net Assets 40.3 M 296 K 317 B 94.20%
Number of Holdings 51 2 3061 63.07%
Net Assets in Top 10 10 M 126 K 150 B 97.64%
Weighting of Top 10 45.16% 0.7% 205.0% 75.43%

Top 10 Holdings

  1. NVIDIA CORP 8.70%
  2. TESLA INC 6.91%
  3. ELI LILLY CO 6.58%
  4. BROADCOM INC 5.66%
  5. AMAZON.COM INC 4.93%
  6. EATON CORP PLC 2.73%
  7. CINTAS CORP 2.58%
  8. TRANE TECHNOLOGI 2.45%
  9. ADV MICRO DEVICE 2.38%
  10. TRANSDIGM GROUP 2.23%

Asset Allocation

Weighting Return Low Return High AMOM % Rank
Stocks
99.83% 0.00% 123.52% 13.25%
Cash
0.20% 0.00% 173.52% 79.40%
Preferred Stocks
0.00% 0.00% 8.45% 56.53%
Other
0.00% -36.56% 42.58% 59.89%
Convertible Bonds
0.00% 0.00% 1.94% 49.55%
Bonds
0.00% 0.00% 102.71% 50.73%

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% 0.73%
Basic Materials
14.91% 0.00% 18.91% 0.45%
Consumer Cyclical
12.22% 0.00% 62.57% 72.18%
Healthcare
9.90% 0.00% 39.76% 76.82%
Industrials
8.34% 0.00% 30.65% 22.09%
Technology
3.21% 0.00% 65.70% 99.73%
Utilities
0.00% 0.00% 16.07% 64.27%
Real Estate
0.00% 0.00% 16.05% 83.27%
Financial Services
0.00% 0.00% 43.06% 99.55%
Communication Services
0.00% 0.00% 66.40% 98.55%

Stock Geographic Breakdown

Weighting Return Low Return High AMOM % Rank
US
99.83% 0.00% 123.52% 10.53%
Non US
0.00% 0.00% 75.46% 65.61%

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% 68.49%
Management Fee 0.75% 0.00% 1.50% 81.63%
12b-1 Fee 0.00% 0.00% 1.00% 10.05%
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% 34.51%

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% 35.16%

Capital Gain Distribution Analysis

AMOM Category Low Category High Capital Mode
Capital Gain Distribution Frequency Annually Annually Annually

Distributions History

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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 8.25 3.08