Investors seeking multi-asset strategies that balance income and growth often evaluate ETFs with distinct approaches to allocation and security selection. Strategy Shares Nasdaq 7HANDL Index ETF (HNDL) and Fundamentals First ETF (KNOW) represent alternative paths within the same broad category of flexible or moderately conservative allocation vehicles. HNDL delivers a rules-based, high-distribution solution through ETF-of-ETFs construction, while KNOW employs active management to select individual securities based on fundamental criteria. These structural differences make the pair relevant for comparing cost efficiency, income generation, diversification breadth, and risk management in varying market cycles.
HNDL tracks the Nasdaq 7HANDL Index, which splits holdings equally between a core portfolio and an explore portfolio. The core portfolio allocates 70% to U.S. aggregate bond ETFs and 30% to U.S. large-cap equity ETFs. The explore portfolio uses tactical exposure across 12 income-oriented asset categories. The ETF holds approximately 25 underlying ETFs and maintains a gross expense ratio of 0.95%. It seeks to deliver investment results that correspond to the price and yield performance of the index before fees and expenses, with a policy targeting monthly distributions at an annualized rate of approximately 7% of net asset value. The fund employs a passive, index-replicating structure with monthly rebalancing of underlying ETF weights.
KNOW is an actively managed ETF that invests primarily in publicly traded equity securities and fixed-income instruments selected according to fundamental criteria. The fund typically holds around 100 positions across market capitalizations, industries, and geographies, including American Depositary Receipts (ADRs). Holdings span sectors such as industrials, energy, technology, and healthcare. The ETF maintains a net expense ratio of 1.09% and follows a long-only, buy-and-hold approach without a predefined distribution target. Portfolio turnover remains low as the adviser emphasizes securities that meet ongoing fundamental standards. The structure allows flexibility to adjust allocations between equities and fixed income based on opportunity sets.
Both ETFs operate within the multi-asset allocation space, where investors balance equity growth potential against fixed-income stability amid fluctuating interest rates and economic uncertainty. Demand for income-generating strategies has persisted across recent market cycles, particularly as traditional bond yields have varied. Regulatory developments around ETF structures and tax efficiency continue to influence product design. Macroeconomic drivers such as inflation trends, central bank policy, and corporate earnings cycles affect sector allocations in both funds. Risks include interest-rate sensitivity for fixed-income components and equity-market volatility for growth-oriented holdings.
In recent weeks and months, HNDL has provided steady monthly distributions supported by its diversified ETF holdings and tactical explore portfolio, offering relative stability during equity rotations. KNOW has demonstrated positioning through concentrated fundamental selections in industrials and technology, resulting in differentiated sensitivity to earnings cycles and sector momentum. HNDL’s broader asset-class diversification has historically moderated volatility compared with more equity-tilted active strategies. KNOW’s active approach allows responsiveness to company-specific fundamentals, potentially enhancing returns in favorable stock-selection environments but introducing greater dispersion during periods of sector underperformance. Relative positioning depends on prevailing interest-rate expectations and capital flows into income versus growth themes.
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.
Tickeron’s AI would currently assign a modest edge to HNDL due to its lower expense ratio, rules-based diversification across asset classes, and consistent distribution methodology that aligns with observable demand for predictable income. KNOW offers active flexibility and concentrated fundamental exposure that may appeal in specific equity-market environments, yet its higher cost and smaller scale introduce comparatively higher structural considerations. The probabilistic assessment favors HNDL’s passive efficiency and income profile in the present multi-asset landscape.
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| HNDL | KNOW | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 85% | 2 days ago 71% |
| Stochastic ODDS (%) | 2 days ago 61% | 2 days ago 53% |
| Momentum ODDS (%) | 2 days ago 78% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 79% | 2 days ago 70% |
| TrendWeek ODDS (%) | 2 days ago 76% | 2 days ago 77% |
| TrendMonth ODDS (%) | 2 days ago 71% | 2 days ago 53% |
| Advances ODDS (%) | 4 days ago 76% | 19 days ago 78% |
| Declines ODDS (%) | 10 days ago 69% | 9 days ago 58% |
| BollingerBands ODDS (%) | 2 days ago 83% | 2 days ago 78% |
| Aroon ODDS (%) | 2 days ago 73% | 2 days ago 41% |
A.I.dvisor tells us that KNOW and GOOG have been poorly correlated (+19% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that KNOW and GOOG's prices will move in lockstep.
| Ticker / NAME | Correlation To KNOW | 1D Price Change % | ||
|---|---|---|---|---|
| KNOW | 100% | N/A | ||
| GOOG - KNOW | 19% Poorly correlated | -0.72% | ||
| ROCK - KNOW | 17% Poorly correlated | -2.47% | ||
| ITW - KNOW | 15% Poorly correlated | +1.36% | ||
| KMI - KNOW | 13% Poorly correlated | +1.35% | ||
| HAL - KNOW | 12% Poorly correlated | +2.58% | ||
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