ONOF ETF ANALYSIS

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ONOF ETF FUNDAMENTALS
ONOF ETF PERFORMANCE

ONOF ISSUER

The ONOF ETF, officially known as the Adaptive Wealth Strategies U.S. Risk Management Index ETF, is managed by Global X Management Company LLC. This ETF is designed to invest at least 80% of its total assets in the securities of the Adaptive Wealth Strategies U.S. Risk Management Index or similar investments with substantially identical economic characteristics. The Underlying Index is owned and was developed by NorthCrest Asset Management, with calculations and maintenance handled by Solactive AG. The Adaptive Wealth Strategies U.S. Risk Management Index aims to dynamically allocate between 100% exposure to the Solactive GBS United States 500 Index TR (U.S. Equity Position) and 100% exposure to the Solactive U.S. 1-3 Year Treasury Bond Index (U.S. Treasury Position). This allocation is determined by four quantitative signals, including the 200-day simple moving average, moving average convergence divergence, drawdown percentage, and the level of the Cboe Volatility Index (VIX). These signals help the ETF anticipate market conditions and adjust its allocation accordingly. The Fund may engage in active and frequent trading of its portfolio securities to achieve its investment objective, and it is classified as non-diversified with a concentration in specific industries, such as the information technology sector. The Adviser uses a passive indexing approach to achieve the Fund's investment objective, with a target correlation of over 95% to the Underlying Index.

ONOF DIVIDEND

The ONOF Dividend reflects the dividend distribution of the Adaptive Wealth Strategies U.S. Risk Management Index, which serves as the underlying index for the fund. While the primary focus of the fund is not on dividends, it aims to dynamically allocate between the Solactive GBS United States 500 Index TR (U.S. Equity Position) and the Solactive U.S. 1-3 Year Treasury Bond Index (U.S. Treasury Position) based on quantitative signals. These signals consider factors such as the 200-day simple moving average, moving average convergence divergence, drawdown percentage, and the level of the Cboe Volatility Index (VIX) to determine the allocation. This strategy aims to provide exposure to the U.S. Equity Position during normal equity market conditions and shift to the U.S. Treasury Position during adverse market conditions. Investors can expect dividends based on the performance of these underlying assets, and the fund may engage in active portfolio trading to achieve its investment objective.

ONOF TRACKING

Tracking the Adaptive Wealth Strategies U.S. Risk Management Index is the primary objective of the ONOF ETF. This ETF aims to maintain at least 80% of its total assets invested in securities of the Adaptive Wealth Strategies U.S. Risk Management Index or in assets with substantially similar economic characteristics. The underlying index is designed to dynamically allocate between 100% exposure to the Solactive GBS United States 500 Index TR (U.S. Equity Position) or 100% exposure to the Solactive U.S. 1-3 Year Treasury Bond Index (U.S. Treasury Position) based on a set of quantitative signals, including the 200-day simple moving average, moving average convergence divergence, drawdown percentage, and the Cboe Volatility Index (VIX). ONOF's strategy aims to provide exposure to U.S. equity markets during normal conditions and shift to U.S. Treasuries during adverse market conditions, making it a unique choice for risk management-oriented investors.

ONOF CORRELATION

The correlation aspect of the ONOF ETF (Adaptive Wealth Strategies U.S. Risk Management ETF) plays a pivotal role in understanding its investment behavior. The fund primarily invests in the Adaptive Wealth Strategies U.S. Risk Management Index, which dynamically allocates between U.S. equities and U.S. Treasury bonds based on quantitative signals. The ETF aims to provide exposure to U.S. equities during normal market conditions and U.S. Treasury bonds during adverse market conditions, utilizing signals like the 200-day simple moving average, moving average convergence divergence, drawdown percentage, and the Cboe Volatility Index to make allocation decisions. Investors seeking to analyze ONOF's correlation with different market conditions and its ability to manage risk can benefit from using ETF Insider's web app for in-depth insights and visualizations of correlations and overlaps with other U.S. ETFs.

ONOF SECTOR

The ONOF ETF focuses on dynamically allocating its assets between the Solactive GBS United States 500 Index TR (U.S. Equity Position) and the Solactive U.S. 1-3 Year Treasury Bond Index (U.S. Treasury Position) based on various quantitative signals. These signals include the 200-day simple moving average (SMA), moving average convergence divergence (MACD), drawdown percentage, and the Cboe Volatility Index (VIX). The ETF aims to provide exposure to the U.S. Equity Position during periods of normal equity market returns and the U.S. Treasury Position during adverse market conditions, making it a versatile option for investors seeking both growth and risk management strategies. As of January 31, 2023, the Underlying Index had significant exposure to the information technology sector.

ONOF EXPOSURE

The ONOF ETF (Exchange-Traded Fund) offers exposure to the Adaptive Wealth Strategies U.S. Risk Management Index. This index is designed to dynamically allocate between either 100% exposure to the Solactive GBS United States 500 Index TR (U.S. Equity Position) or 100% exposure to the Solactive U.S. 1-3 Year Treasury Bond Index (U.S. Treasury Position). The Solactive GBS United States 500 Index TR measures the performance of the 500 largest companies in the U.S. stock market across all sectors, while the Solactive U.S. 1-3 Year Treasury Bond Index tracks the performance of USD-denominated bonds issued by the U.S. Treasury with 1-3 years until maturity. The ONOF ETF aims to provide exposure to the U.S. Equity Position during normal equity market conditions and to the U.S. Treasury Position during adverse market conditions, as determined by a quantitative model using signals such as the 200-day simple moving average, moving average convergence divergence, drawdown percentage, and the Cboe Volatility Index (VIX).

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