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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

$21.15

$40 M

3.25%

$0.69

0.81%

Vitals

YTD Return

1.3%

1 yr return

1.5%

3 Yr Avg Return

-2.7%

5 Yr Avg Return

N/A

Net Assets

$40 M

Holdings in Top 10

98.8%

52 WEEK LOW AND HIGH

$21.1
$20.68
$22.23

Expenses

OPERATING FEES

Expense Ratio 0.81%

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

$21.15

$40 M

3.25%

$0.69

0.81%

SSFI - Profile

Distributions

  • YTD Total Return 1.3%
  • 3 Yr Annualized Total Return -2.7%
  • 5 Yr Annualized Total Return N/A
  • Capital Gain Distribution Frequency N/A
  • Net Income Ratio N/A
DIVIDENDS
  • Dividend Yield 3.2%
  • Dividend Distribution Frequency Quarterly

Fund Details

  • Legal Name
    Day Hagan/Ned Davis Research Smart Sector Fixed Income ETF
  • Fund Family Name
    Strategy Shares
  • Inception Date
    Sep 29, 2021
  • Shares Outstanding
    N/A
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    US
  • Manager
    Regan Teague

Fund Description

The Fund’s investment advisor, Day Hagan Asset Management (the “Advisor”), actively manages the Fund’s portfolio using proprietary investment models co-developed with Ned Davis Research (“NDR”). The Fund is considered a “fund of funds” that, under normal market conditions, seeks to achieve its investment objective by principally investing in unaffiliated fixed income exchange traded funds that invest in fixed income categories (“Underlying Funds”). The fixed income categories to which the Fund may seek exposure through the Underlying

Funds are U.S. investment grade corporate bonds, U.S. long-term treasury securities, U.S. mortgage-backed securities, international investment grade bonds, U.S. treasury inflation-protected securities, U.S. high yield bonds, emerging market bonds, and U.S. floating rate notes (each, a “Category”, and, collectively, the “Categories”). The Fund will attempt to enhance returns relative to the Bloomberg US Aggregate Bond Index by overweighting and underweighting its exposure to the Categories and may reduce its overall exposure to certain ETFs as determined by its risk management model.

Under normal market conditions, the Fund will invest, indirectly through the Underlying Funds, at least 80% of its net assets, plus the amount of any borrowings for investment purposes, in fixed income securities and other instruments that have economic characteristics similar to such securities. The Fund may invest in Underlying Funds without any constraints as to the duration (i.e., the sensitivity of a fixed income security’s price to interest rate changes), maturity and country of domicile (including emerging market countries) of the securities held by the Underlying Funds. Certain of the Underlying Funds may hold, without limit, debt securities of any credit quality including below investment grade debt securities (also known as “junk” bonds) and may invest in debt securities that are in default.

The Fund utilizes a model to determine its allocation to each Category. The model combines unique macroeconomic and technical indicators that are designed to (i) evaluate the relative attractiveness of Underlying Funds across Categories; (ii) reallocate assets from Categories with unfavorable characteristics to areas providing the greatest opportunities; and (iii) protect capital by lowering duration and reducing credit risk during weak economic environments. The indicators for each Category focus on risk/reward characteristics of each Category with the goal of investing in the areas that have the highest probability of maximizing total return. By combining multiple and diverse indicators, which historically have been shown to add value in Category allocation decisions, the model seeks to objectively assess the weight of the evidence and generate Category allocation recommendations. The Fund’s allocation to a particular Category may be greater than 25%. Conversely, the Fund’s allocation to a particular Category may be reduced to 0% if the Category’s model composite is at low levels.

The Fund also utilizes a risk model to identify potential broader equity market risks that could negatively impact certain fixed income Categories. Should the model generate a sell signal for equities, the Fund may reduce exposure to fixed income Categories that have historically evidenced a positive correlation with equities. Categories that have historically had positive correlations with U.S. equities are U.S. floating rate notes, U.S. investment grade corporate bonds, U.S. high yield bonds, and emerging market bonds. During times when the model is on a sell signal, portions of the Fund’s allocations to these Categories will be allocated to cash and cash equivalents, including short term U.S. Treasury ETFs, U.S. Treasury securities, and money market funds. The Fund will increase its fixed income investments when the model returns to levels indicating that major risks have potentially subsided.

The Fund’s portfolio is rebalanced monthly, although the Advisor may engage in intra-month trades if the models show substantial changes. The Fund actively trades its portfolio securities in an attempt to achieve its investment objective; trading activity may also be increased in periods of high market volatility.

The Fund is classified as “non-diversified” for purposes of the Investment Company Act of 1940 (the “1940 Act”), which means a relatively high percentage of the Fund’s assets may be invested in the securities of a limited number of issuers.

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SSFI - Performance

Return Ranking - Trailing

Period SSFI Return Category Return Low Category Return High Rank in Category (%)
YTD 1.3% -21.8% 17.7% 94.99%
1 Yr 1.5% -26.4% 18.0% N/A
3 Yr -2.7%* -29.6% 52.0% N/A
5 Yr N/A* -33.0% 28.7% N/A
10 Yr N/A* -27.0% 12.7% N/A

* Annualized

Return Ranking - Calendar

Period SSFI Return Category Return Low Category Return High Rank in Category (%)
2023 0.2% -31.8% 18.4% N/A
2022 -14.4% -14.3% 103.5% N/A
2021 N/A -20.2% 60.6% N/A
2020 N/A -13.4% 10.9% N/A
2019 N/A -12.3% 4.1% N/A

Total Return Ranking - Trailing

Period SSFI Return Category Return Low Category Return High Rank in Category (%)
YTD 1.3% -21.8% 28.6% 95.80%
1 Yr 1.5% -26.4% 38.5% N/A
3 Yr -2.7%* -29.6% 52.0% N/A
5 Yr N/A* -33.0% 29.9% N/A
10 Yr N/A* -27.0% 16.1% N/A

* Annualized

Total Return Ranking - Calendar

Period SSFI Return Category Return Low Category Return High Rank in Category (%)
2023 4.2% -31.8% 18.4% N/A
2022 -12.8% -14.3% 103.5% N/A
2021 N/A -20.2% 60.6% N/A
2020 N/A -13.4% 10.9% N/A
2019 N/A -12.3% 4.7% N/A

SSFI - Holdings

Concentration Analysis

SSFI Category Low Category High SSFI % Rank
Net Assets 40 M 100 124 B 96.15%
Number of Holdings 8 2 8175 N/A
Net Assets in Top 10 39.3 M -1.57 B 20.5 B N/A
Weighting of Top 10 98.85% 4.3% 100.0% N/A

Top 10 Holdings

  1. SPDR PORTFOLIO MORTGAGE BACKED BOND ETF 26.69%
  2. SPDR PORTFOLIO CORPORATE BOND 22.06%
  3. SPDR PORTFOLIO INTERMEDIATE TERM TREASURY ETF 19.39%
  4. SPDR PORTFOLIO SHORT TERM TREASURY ETF 14.34%
  5. SPDR PORTFOLIO LONG TERM TREASURY ETF 9.43%
  6. VANGUARD TOTAL INTERNATIONAL BOND ETF 6.00%
  7. ISHARES 3 7 YEAR TREASURY BOND ETF 0.83%
  8. SPDR PORTFOLIO HIGH YIELD BOND ETF 0.11%

Asset Allocation

Weighting Return Low Return High SSFI % Rank
Cash
1.15% -261.12% 258.91% N/A
Stocks
0.00% -38.22% 261.12% N/A
Preferred Stocks
0.00% 0.00% 31.88% N/A
Other
0.00% -25.82% 276.99% N/A
Convertible Bonds
0.00% 0.00% 33.50% N/A
Bonds
0.00% -150.81% 188.92% N/A

SSFI - Expenses

Operational Fees

SSFI Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.81% 0.01% 6.46% 65.86%
Management Fee 0.68% 0.00% 2.29% 64.87%
12b-1 Fee N/A 0.00% 1.00% 9.30%
Administrative Fee N/A 0.00% 0.70% 6.96%

Sales Fees

SSFI Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A 0.00% 5.75% N/A
Deferred Load N/A 1.00% 5.00% N/A

Trading Fees

SSFI Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A 0.50% 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.

SSFI Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover N/A 0.00% 496.00% N/A

SSFI - Distributions

Dividend Yield Analysis

SSFI Category Low Category High SSFI % Rank
Dividend Yield 3.25% 0.00% 17.29% 82.09%

Dividend Distribution Analysis

SSFI Category Low Category High Category Mod
Dividend Distribution Frequency Quarterly Monthly Monthly Monthly

Net Income Ratio Analysis

SSFI Category Low Category High SSFI % Rank
Net Income Ratio N/A -1.55% 11.51% N/A

Capital Gain Distribution Analysis

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

Distributions History

View More +

SSFI - Fund Manager Analysis

Managers

Regan Teague


Start Date

Tenure

Tenure Rank

Sep 28, 2021

0.67

0.7%

Regan is a graduate of Ashland University (Ohio). During his college career, Regan interned with Day Hagan in the summer of 2009 and was a member of the Eagle Investment Group – a team of senior finance students that managed part of the school’s endowment fund. Regan joined the Day Hagan team full-time in April of 2012. Regan is a portfolio manager and analyst for all of Day Hagan’s proprietary strategies. He is currently pursuing his Chartered Financial Analyst (CFA) designation.

Donald Hagan


Start Date

Tenure

Tenure Rank

Sep 28, 2021

0.67

0.7%

Prior to founding the firm, Don was Senior Vice President and Senior Portfolio Manager for Wells Fargo Bank’s PCS. During his tenure with Wells Fargo, Don concurrently served on Wells Fargo’s National Asset Allocation Committee and National Investment Policy Committees. Don’s role included directing wealth planning initiatives, asset allocation and investment strategy for Wells Fargo’s national PCS division. He also served as one of the members of the Investment Management Committee for Wells Fargo’s flagship equity portfolio, Signature Core. Prior to Wells Fargo, Don served as Director of Research and Portfolio Manager for Securities Corporation of Iowa (SCI). Don directed research, allocation, investments and strategy for the firm. He served as Portfolio Manager for the SCI Traditional Value Equity, Blue Chip Bellwether Growth, Industry Select and Tactical Balanced investment strategies. SCI was acquired by Wells Fargo in early 2001. Prior to being recruited as Director of Research for SCI, Don was Chief Sector Analyst and Editor for Ned Davis Research, Inc., one of the largest independent research organizations in the world. Don provided research and recommendations to institutional clients both national and international. Don has conducted research and developed decision-based asset allocation and individual stock buy/sell programs at the institutional level since 1988. From 1989 through 1996, Don also served as editor for the following institutional research periodicals: Industry Watch, Group Update, Techno-Fundamental Ranks, and Top 30 Picks. Don has been quoted in several financial publications including the Wall Street Journal, Barron’s, Atlanta Constitution, and USA Today. He is a frequent speaker at investment conferences and on radio programs.

Arthur Day


Start Date

Tenure

Tenure Rank

Sep 28, 2021

0.67

0.7%

Arthur S. Day, Partner, for Day Hagan Asset Management; a SEC registered investment advisory firm. Art is a thirty+ (30+) year investment industry veteran, working with major Wall Street investment firms as a retail and institutional advisor. His investment career began in 1984 as an account executive with Dean Witter Reynolds. In 1987, he was recruited by E.F. Hutton, which through numerous mergers and corporate realignments became Shearson Lehman Brothers. During his tenure with Shearson Lehman Brothers, and aided by his affiliation with Capital Vectors Inc., Art was instrumental in initiating the launch of the Shearson Lehman Brothers TRAC mutual fund allocation program. The TRAC allocation program is often cited as setting the standard by which portfolios are allocated based on clients’ risk profiles determined through questionnaires. This first-of-its-kind strategy accumulated more than $5 billion within a year of its launch, and has since been duplicated by nearly every major and regional firm on Wall Street. In 1993, Art accepted an offer from PaineWebber as First Vice President of investments. (PaineWebber was subsequently acquired by UBS.) During his tenure, he was an advocate and leading participant in numerous alternative strategies ranging from private equity, wealth preservation insurance solutions, and single and multi-manager hedge fund strategies. In 1999, Art began his association with Engagement Systems as an investor and owner. He was also a leading contributor to the development of the firm’s client centric Skill-Weighted investment platform. Engagement Systems’ development of the Skill Weighted Portfolio Methodology emphasized index funds and ETFs due to market efficiencies, low fee structures and broad diversification. In 2006, Art and Donald Hagan joined forces to form Day Hagan Asset Management to introduce and promote the Day Hagan Global Asset Allocation Strategy, a quantitative dynamic rebalancing index strategy, for national retail and institutional distribution.

Tenure Analysis

Category Low Category High Category Average Category Mode
0.08 28.19 5.64 3.19