The 3X Universal Investment Strategy (UISx3) is a leveraged version of our core Universal Investment Strategy (UIS), an evolved, intelligent version of the classic 60/40 equity/bond portfolio that can adapt to current conditions, shifting portfolio weight away from stocks in difficult markets and adding weight to equity in bull runs.

The 3x leveraged version of the strategy employs SPXL, TMF and UGLD, which are the leveraged versions of the S&P 500 ETF, the Treasury 20+ year ETF and the Gold ETF. Unlike the base UIS, the leveraged version only uses TMF and UGLD to hedge SPXL exposure.

The UISx3 is appropriate for investors who are comfortable taking on higher risks in exchange for the potential for of higher returns. Because leveraged ETFs are used, we recommend allocating no more than 15% of your total portfolio to this strategy.

- SPXL - Direxion Daily S&P 500 Bull 3X Shares ETF
- TMF - Direxion Daily 30-Year Treasury Bull 3x Shares ETF
- UGLD - VelocityShares 3x Long Gold ETN

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:- Looking at the total return, or performance of 239.9% in the last 5 years of Leveraged Universal Investment Strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (63%)
- During the last 3 years, the total return, or performance is 90%, which is higher, thus better than the value of 39.8% from the benchmark.

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Using this definition on our asset we see for example:- The annual return (CAGR) over 5 years of Leveraged Universal Investment Strategy is 27.7%, which is greater, thus better compared to the benchmark SPY (10.3%) in the same period.
- During the last 3 years, the compounded annual growth rate (CAGR) is 23.9%, which is greater, thus better than the value of 11.8% from the benchmark.

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:- The historical 30 days volatility over 5 years of Leveraged Universal Investment Strategy is 23.1%, which is higher, thus worse compared to the benchmark SPY (13.6%) in the same period.
- During the last 3 years, the 30 days standard deviation is 21.6%, which is larger, thus worse than the value of 12.7% from the benchmark.

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Which means for our asset as example:- Compared with the benchmark SPY (14.9%) in the period of the last 5 years, the downside risk of 25.7% of Leveraged Universal Investment Strategy is larger, thus worse.
- Compared with SPY (14.4%) in the period of the last 3 years, the downside volatility of 24.5% is larger, thus worse.

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (0.57) in the period of the last 5 years, the risk / return profile (Sharpe) of 1.09 of Leveraged Universal Investment Strategy is larger, thus better.
- Looking at Sharpe Ratio in of 0.99 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.73).

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Applying this definition to our asset in some examples:- Looking at the downside risk / excess return profile of 0.98 in the last 5 years of Leveraged Universal Investment Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.52)
- Compared with SPY (0.65) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.87 is higher, thus better.

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:- Looking at the Ulcer Index of 14 in the last 5 years of Leveraged Universal Investment Strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (4.01 )
- During the last 3 years, the Ulcer Ratio is 16 , which is greater, thus worse than the value of 4.08 from the benchmark.

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:- Looking at the maximum reduction from previous high of -38.3 days in the last 5 years of Leveraged Universal Investment Strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-19.3 days)
- During the last 3 years, the maximum reduction from previous high is -38.3 days, which is smaller, thus worse than the value of -19.3 days from the benchmark.

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

Which means for our asset as example:- Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days below previous high of 350 days of Leveraged Universal Investment Strategy is greater, thus worse.
- During the last 3 years, the maximum days below previous high is 350 days, which is larger, thus worse than the value of 139 days from the benchmark.

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Which means for our asset as example:- Looking at the average days below previous high of 109 days in the last 5 years of Leveraged Universal Investment Strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (41 days)
- Looking at average time in days below previous high water mark in of 105 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (36 days).

Historical returns have been extended using synthetic data.
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- "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
- Performance results of Leveraged Universal Investment Strategy are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.