RULE
Price
$30.84
Change
-$2.27 (-6.86%)
Updated
Jun 5, 04:11 PM (EDT)
Net Assets
16.65M
Intraday BUY SELL Signals
TUG
Price
$45.50
Change
-$2.01 (-4.23%)
Updated
Jun 5, 04:55 PM (EDT)
Net Assets
45.44M
Intraday BUY SELL Signals
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RULE vs TUG

Header iconRULE vs TUG Comparison
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Which ETF would AI Choose? Adaptive Core ETF (RULE) vs. STF Tactical Growth ETF (TUG)

Key Takeaways

  • Adaptive Core ETF (RULE) employs a tactical, multi-asset strategy focused on current income through holdings in equity and fixed-income exchange-traded funds (ETFs), while STF Tactical Growth ETF (TUG) uses trend-following and momentum signals to dynamically allocate between Nasdaq-100 large-cap equities and U.S. Treasuries for growth with downside mitigation.
  • RULE maintains approximately 36 holdings in a go-anywhere approach across asset classes, resulting in broader diversification, whereas TUG concentrates on 100+ positions with significant exposure to technology leaders and Treasury securities.
  • Expense ratios differ notably: RULE carries a higher fee structure at 1.10%, reflecting its active multi-asset management, compared to TUG’s more efficient 0.65% ratio.
  • Sector exposure in RULE spans equities and fixed income via underlying ETFs, while TUG emphasizes large-cap technology stocks alongside uncorrelated Treasury allocations for risk management.
  • Both funds are actively managed and non-indexed, positioning them as flexible alternatives to passive benchmarks, with TUG incorporating explicit volatility and trend metrics absent in RULE’s income-oriented mandate.
  • Structural differences highlight complementary roles: RULE suits income-focused investors seeking adaptive asset allocation, while TUG targets growth-oriented participants comfortable with tactical equity-bond shifts.

Introduction

Adaptive Core ETF (RULE) and STF Tactical Growth ETF (TUG) represent distinct actively managed strategies within the tactical allocation space. RULE prioritizes current income through flexible investments in other ETFs, while TUG dynamically adjusts equity exposure to Nasdaq-listed large-cap stocks alongside Treasury holdings based on quantitative signals. These ETFs do not compete directly but offer alternative approaches to balancing growth and risk in equity and fixed-income markets, appealing to investors seeking active management beyond traditional index tracking.

Adaptive Core ETF (RULE) Overview

The Adaptive Core ETF (RULE) is an actively managed fund launched in 2021 that seeks current income and long-term capital appreciation. It employs a tactical go-anywhere strategy, primarily investing in other exchange-traded funds (ETFs) that provide exposure to equity securities across market capitalizations, including convertible equities, and fixed-income instruments. The fund holds approximately 36 positions and maintains an expense ratio of 1.10%. This multi-asset, ETF-of-ETFs structure enables broad diversification across sectors and asset classes without direct security selection. RULE’s approach emphasizes adaptability to market conditions rather than adherence to a specific benchmark index.

STF Tactical Growth ETF (TUG) Overview

The STF Tactical Growth ETF (TUG) is an actively managed fund launched in 2022 that seeks long-term capital growth with downside mitigation. It allocates between large-cap equities listed on the Nasdaq Stock Market—often replicating exposure similar to the Nasdaq-100 Index—and U.S. Treasury securities or cash equivalents, guided by trend-following, volatility, and momentum metrics. The fund typically holds around 100 securities, with top positions concentrated in technology names. TUG features an expense ratio of 0.65% and operates as a non-diversified vehicle. Its distinguishing feature is the dynamic adjustment of equity versus fixed-income exposure based on uncorrelated return signals to manage risk during varying market environments.

Industry and Thematic Backdrop

Both ETFs operate amid a market environment shaped by evolving interest rate expectations, technological innovation, and sector rotations between growth equities and defensive fixed-income assets. Large-cap technology companies continue to influence equity performance, while Treasury yields respond to macroeconomic data and monetary policy shifts. Regulatory developments around active management and ETF structures remain stable, supporting tactical strategies. Capital flows into adaptive and momentum-based funds reflect investor demand for tools that navigate volatility without full market exposure. Risks include potential underperformance during prolonged equity rallies for TUG’s defensive allocations and higher costs for RULE’s multi-layered ETF holdings.

Performance and Positioning Comparison

In recent market cycles, RULE’s multi-asset tactical approach has provided income stability through diversified ETF holdings, potentially buffering against equity-specific downturns. TUG’s signal-driven shifts between Nasdaq large-caps and Treasuries have positioned it to capture growth during favorable equity trends while reducing exposure in weaker periods. Relative positioning favors TUG for investors prioritizing growth with built-in volatility controls, whereas RULE offers broader sector exposure suited to income generation. Volatility differences arise from TUG’s concentrated technology focus versus RULE’s go-anywhere flexibility, with both adapting to earnings cycles and macro shifts over weeks and months rather than daily fluctuations.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore the AI Screener to enhance your research process.

Tickeron AI Verdict

Based on observable structural factors, Tickeron’s AI would likely favor the STF Tactical Growth ETF (TUG) at present due to its lower expense ratio, explicit downside mitigation framework, and alignment with prevailing technology sector momentum through dynamic allocations. RULE’s higher costs and income-focused mandate provide value in different environments but appear less optimal under current trend consistency and cost-efficiency considerations. This assessment reflects probabilistic evaluation of diversification, risk exposure, and thematic positioning rather than guaranteed outcomes.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
RULE vs. TUG commentary
Jun 06, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is RULE is a Hold and TUG is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
TUG has more net assets: 45.4M vs. RULE (16.7M). RULE has a higher annual dividend yield than TUG: RULE (41.936) vs TUG (20.489). RULE was incepted earlier than TUG: RULE (5 years) vs TUG (4 years). TUG (0.65) has a lower expense ratio than RULE (1.84). RULE has a higher turnover TUG (52.00) vs TUG (52.00).
RULETUGRULE / TUG
Gain YTD41.93620.489205%
Net Assets16.7M45.4M37%
Total Expense Ratio1.840.65283%
Turnover348.0052.00669%
Yield0.000.52-
Fund Existence5 years4 years-
TECHNICAL ANALYSIS
Technical Analysis
RULETUG
RSI
ODDS (%)
Bearish Trend 2 days ago
52%
Bearish Trend 2 days ago
74%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
65%
Bearish Trend 2 days ago
75%
Momentum
ODDS (%)
N/A
N/A
MACD
ODDS (%)
Bullish Trend 2 days ago
60%
Bearish Trend 2 days ago
73%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
64%
Bullish Trend 2 days ago
85%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
67%
Bullish Trend 2 days ago
87%
Advances
ODDS (%)
Bullish Trend 11 days ago
70%
Bullish Trend 4 days ago
86%
Declines
ODDS (%)
N/A
Bearish Trend 2 days ago
68%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
46%
Bearish Trend 2 days ago
73%
Aroon
ODDS (%)
Bullish Trend 2 days ago
75%
Bullish Trend 2 days ago
86%
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RULE
Daily Signal:
Gain/Loss:
TUG
Daily Signal:
Gain/Loss:
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RULE and

Correlation & Price change

A.I.dvisor tells us that RULE and NWE have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that RULE and NWE's prices will move in lockstep.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To RULE
1D Price
Change %
RULE100%
N/A
NWE - RULE
30%
Poorly correlated
+0.65%
CNS - RULE
17%
Poorly correlated
+4.76%
MS - RULE
16%
Poorly correlated
+3.87%
USB - RULE
16%
Poorly correlated
+4.37%
PRGO - RULE
15%
Poorly correlated
+2.01%
More

TUG and

Correlation & Price change

A.I.dvisor indicates that over the last year, TUG has been loosely correlated with SWKS. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if TUG jumps, then SWKS could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To TUG
1D Price
Change %
TUG100%
-0.52%
SWKS - TUG
61%
Loosely correlated
-0.91%
ZM - TUG
52%
Loosely correlated
-0.93%
OKTA - TUG
39%
Loosely correlated
-0.94%
ALGN - TUG
38%
Loosely correlated
+4.07%
DOCU - TUG
37%
Loosely correlated
-2.79%
More