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Last Close
Feb 06  •  04:00PM ET
25.41
Dollar change
+0.95
Percentage change
3.87
%
CategoryUS Equities - Dividend & Fundamental Asset TypeEquities (Stocks) TagsU.S. Return% 1Y- Total Holdings101 Perf Week1.33%
SponsorDeepwater AM ETF Type Tagsequity Return% 3Y- AUM4.44M Perf Month-0.22%
Fund Family Bond Type Tagssmall-cap Return% 5Y- NAV/sh Perf Quarter-
Index- Average Maturity Tags- Return% 10Y 52W High26.57 -4.35% Perf Half Y-
Index Weighting Commodity Type Tags- Return% SI 52W Low24.12 5.35% Perf YTD4.21%
Active/Passive Quant Type Tags- Flows% 1M40.45% Volatility1.57% 0.87% Perf Year-
Dividend TTM- ESG Type Tags- Flows% 3M239.30% ATR (14)0.41 Perf 3Y-
Dividend Ex-Date- Dividend Type Sector/Theme Flows% YTD40.45% RSI (14)50.88 Perf 5Y-
Dividend Gr. 3/5Y- - Structure Type Region Flows% 1Y Beta- Perf 10Y-
Expense0.85% Growth/Value SMA20-1.12% Flows% 3Y Rel Volume0.77 Prev Close24.47
Inverse/Leveraged Market Cap SMA500.33% Flows% 5Y Avg Volume5.71K Price25.41
IPODec 16, 2025 Option/ShortNo / Yes SMA2000.33% Trades Volume4,384 Change3.87%
Deepwater Beachfront Small Cap ETF invests primarily in equity securities of small-cap companies listed on a U.S. exchange. The Fund defines "small-cap" companies as those with a total market capitalization that falls within the range of the Russell 2000 Index (the "Index") at the time of purchase. The term "beachfront" in the Fund's name represents the Adviser's commitment to constructing a portfolio of companies that the Adviser believes are the highest-quality companies in their respective industries. While attention is given to top-down analysis, the Adviser utilizes primarily a bottom-up approach to identify investment opportunities. In selecting securities for the Fund, the Adviser focuses on fundamental stock analysis, but layers on statistical, quantitative, and other research techniques to bolster the research process. A proprietary quantitative screening is applied to build a custom universe that allows the team to focus its efforts. The screening process utilizes fundamental and statistical attributes such as revenue growth, average trading volume, margin expansion, and valuation, while also incorporating factor-screening methodology, to create an internal list of companies.