Militia Long/Short Equity ETFMilitia Long/Short Equity ETFMilitia Long/Short Equity ETF

Militia Long/Short Equity ETF

No trades
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Key stats


Assets under management (AUM)
‪257.28 K‬USD
Fund flows (1Y)
‪253.67 K‬USD
Dividend yield (indicated)
Discount/Premium to NAV
1.4%
Shares outstanding
‪10.00 K‬
Expense ratio
18.48%

About Militia Long/Short Equity ETF


Issuer
Empirical Finance LLC
Brand
Militia
Inception date
Jan 15, 2025
Structure
Open-Ended Fund
Index tracked
No Underlying Index
Management style
Active
Distributes
Capital Gains
Max ST capital gains rate
39.60%
Max LT capital gains rate
20.00%
Tax on distributions
Ordinary income
ORR is an actively managed ETF aiming for capital appreciation through both long and short equity positions. The long portfolio targets undervalued or growth potential equities, with a focus on developed markets. Long positions may exceed 100% of net assets, capped typically at 150%. Short positions focus on U.S.-listed companies and ETFs expected to decline, influenced by declining future cash flow projections. ORR can have short exposure up to 100% and may include inverse or leveraged ETFs. The fund actively trades positions, resulting in high annual portfolio turnover. The portfolio may also short foreign currencies through currency forward contracts to manage risk.

Classification


Asset Class
Alternatives
Category
Hedge fund strategies
Focus
Long/short
Niche
Long/short
Strategy
Active
Geography
Developed Markets
Weighting scheme
Proprietary
Selection criteria
Proprietary
What's in the fund
Exposure type
StocksBonds, Cash & Other
Finance
Cash
Stocks100.02%
Finance14.76%
Transportation8.27%
Industrial Services6.52%
Retail Trade5.69%
Consumer Durables5.20%
Utilities4.80%
Energy Minerals3.71%
Electronic Technology3.43%
Technology Services2.45%
Non-Energy Minerals2.39%
Consumer Non-Durables2.37%
Consumer Services1.85%
Producer Manufacturing1.51%
Distribution Services1.00%
Bonds, Cash & Other−0.02%
Cash56.03%
Mutual fund0.38%
Miscellaneous−56.44%
Displays a symbol's price movements over previous years to identify recurring trends.