SNUG ETF ANALYSIS

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SNUG ETF FUNDAMENTALS
SNUG ETF PERFORMANCE

SNUG ISSUER

The issuer of the SNUG ETF, Empowered Funds, LLC, employs a passive management strategy to track the performance of its index, focusing on shifts between bull and bear market indicators. With a dedication to creating diversified portfolios, Empowered Funds, LLC, employs both sector and global ETFs to provide investors with exposure to various market segments, striving to offer stability and growth potential across different market conditions.

SNUG DIVIDEND

The SNUG Dividend ETF employs a passive management approach designed to track the performance of its underlying index. This index utilizes a computer algorithm to assess whether U.S. equity markets are in an advancing (Bull) mode or have an elevated risk of decline (Bear). The ETF's investment strategy adjusts based on these market assessments, with allocations to sector ETFs, country ETFs, global/regions ETFs, dividend ETFs, and bond ETFs during Bull mode. In a Bear mode, the ETF primarily invests in more conservative ETFs, including medium- and long-term treasury funds, aggregate bond funds, and other low-risk options. The focus on dividend ETFs during the Bull mode indicates a preference for securities anticipated to generate dividends.

SNUG TRACKING

The SNUG ETF employs a passive management strategy to track its proprietary index, which determines the market's current sentiment—bullish or bearish. Utilizing a computer algorithm backed by artificial intelligence, the index assesses market conditions and adjusts its ETF composition accordingly. In a bullish market, SNUG invests in a diversified mix of ETFs spanning different economic sectors, countries, regions, and bond categories. Conversely, during bearish periods, it shifts towards a more conservative allocation, prioritizing lower-risk assets such as medium- and long-term treasury funds, aggregate bond funds, and gold funds.

SNUG CORRELATION

The SNUG ETF (Symbol: SNUG) employs a dual investment strategy based on market conditions, focusing on either bull or bear market scenarios. In bullish conditions, SNUG allocates its portfolio to a balanced mix of sector, country, global/regions, CORRELATION, and bond ETFs, maintaining a conservative approach. Conversely, during bearish conditions, SNUG shifts its focus to more risk-averse ETFs, predominantly emphasizing medium- and long-term treasury funds, aggregate bond funds, and gold funds, among others. The ETF's strategy aims to achieve a correlation of 95% or better with its underlying index, reflecting its commitment to tracking market shifts effectively while adhering to its risk profile.

SNUG SECTOR

The SNUG ETF focuses on a unique investment strategy that adapts to market conditions, alternating between bull and bear market anticipation. The fund primarily invests in exchange-traded funds (ETFs) with a specific emphasis on various economic sectors. SNUG allocates its portfolio to SECTOR ETFs that represent distinct sectors such as healthcare, energy, technology, finance, and more. This sector-focused approach allows investors to benefit from targeted exposure to different segments of the economy, potentially offering enhanced returns during favorable market conditions while also aiming to manage risk during downturns.

SNUG EXPOSURE

The SNUG ETF (Empowered Funds, LLC) employs a passive management approach designed to track the performance of its proprietary Index. This ETF utilizes a dynamic investment strategy based on market conditions, shifting between bull and bear market allocations. When in a bull market mode, SNUG predominantly invests in a diverse range of EXPOSURE ETFs, country ETFs, global/regions ETFs, and bond ETFs, providing investors exposure to various economic sectors, countries, and geographic regions. In bear market mode, SNUG focuses on more conservative ETFs with a lower risk profile, including medium- and long-term treasury funds, aggregate bond funds, and selected high-yield bond funds. This approach aims to balance exposure to market trends and economic conditions

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