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TUG

ยทNASDAQ
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Key Stats
Assets Under Management
37.39MUSD
Fund Flows (1Y)
-184.31MUSD
Dividend Yield
4.04%
Discount/Premium to NAV
-0.18%
Shares Outstanding
925.00K
Expense Ratio
0.65%
About STF Tactical Growth ETF
Issuer
Stf Management LP
Brand
STF
Inception Date
May 18, 2022
Structure
Open-Ended Fund
Index Tracked
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Management Style
Active
Dividend Treatment
Distributes
Distribution Tax Treatment
Ordinary income
Income Tax Type
Capital Gains
Max ST Capital Gains Rate
39.60%
Max LT Capital Gains Rate
20.00%
Primary Advisor
Stf Management LP
Distributor
Foreside Fund Services LLC
TUG is one of the issuer's first ETFs. It utilizes a proprietary, quantitative model to allocate between equity exposure through the NASDAQ-100 index, and fixed income using US Treasury bonds and bills/cash equivalents. The model uses an algorithm-based signals that track shifts in price action, market volatility, and correlation across equities, fixed income, and commodities. Based on these signals, the fund's adviser will adjust the allocations to proactively adapt to current market conditions. In this way, TUG hopes to identify which asset class provides the best opportunity for growth in light of prevailing market conditions. The fund may obtain its exposure directly, or indirectly through other ETFs. Investors should expect active and frequent trading of securities in implementing TUG's strategy, which could result to a higher portfolio turnover rate.
Classification
Asset Class
Asset Allocation
Category
Asset Allocation
Focus
Target Outcome
Niche
Capital Appreciation
Strategy
Active
Geography
U.S.
Weighting Scheme
Proprietary
Selection Criteria
Proprietary
Returns
1-Month
3-Month
YTD
1-Year
3-Year
5-Year
Price Performance
+2.04%+3.37%+19.99%+13.99%+83.28%+61.44%
NAV Total Return
+0.16%+7.70%+17.47%+16.26%+94.60%+0.48%
Ratings

No data is currently available

Ainvestโ€™s AI-powered ETF Scoring Algorithm, built to help retail investors make smarter, data-driven decisions. Leveraging deep learning, reinforcement learning, and large language models, the algorithm scores ETFs across five key dimensions: Fund Flow, Momentum, Safety, Fundamentals, and Performance. Each factor is weighted by its correlation to future returns, resulting in a single, actionable score. Backtested over five years with consistently strong predictive accuracy. Ainvest brings institutional-grade artificial intelligence to everyday investorsโ€”transforming complexity into clarity with every score.
Holdings Analysis

Sector

Technology

54.65%

Communication Services

16.73%

Consumer Cyclical

13.27%

Healthcare

4.82%

Consumer Defensive

4.18%

Industrials

2.85%

Utilities

1.56%

Basic Materials

0.94%

Energy

0.52%

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Asset

Region

97.65%
1.5%
0.57%
0.27%

Category

Ratio

North America

97.65%

Europe

1.50%

Latin America

0.57%

Asia

0.27%

Investment Style

No data is currently available

Top 10 Holdings

Symbol

Ratio

logo

AAPL

Apple
8.98%
logo

NVDA

Nvidia
8.79%
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MSFT

Microsoft
7.70%
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AVGO

Broadcom
5.30%
logo

AMZN

Amazon.com
5.05%
logo

GOOGL

Alphabet A
3.87%
logo

GOOG

Alphabet C
3.63%
logo

TSLA

Tesla
3.52%
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Cash & Other

3.44%
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META

Meta
2.82%

Top 10 Weight 53.1%

103 Total Holdings

Dividends

Dividend Payout History

Declaration Date
Record Date
Payment Date
Amount
2025-09-242025-09-242025-09-250.004
2025-06-252025-06-252025-06-260.013
2025-03-262025-03-262025-03-270.011
2024-12-262024-12-262024-12-270.398
2024-09-262024-09-262024-09-270.026
2024-06-272024-06-272024-06-280.018
2024-03-202024-03-212024-03-220.016

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Premium/Discount Chart
Premium/Discount to NAV
Price
Assets Under Management
Assets Under Management
Fund Flows
Inflows
Outflows