This portfolio has been optimized for achieving the highest possible return while limiting the historical volatility to 15% or less over the analyzed period. As a reference, the volatility limit of 15% is slightly below the historical volatility, or risk, of the SPDR S&P 500 (SPY). This is an aggressive portfolio suited for investors with a relatively high risk tolerance and aggressive growth expectations.

Please note that this portfolio might use leveraged ETF and single stocks. Should these not be allowed in your retirement account please see our 401k and IRS compatible Conservative, Moderate, and Aggressive Risk Portfolios. Contact us for special requirements.

While this portfolio provides an optimized asset allocation based on historical returns, your investment objectives, risk profile and personal experience are important factors when deciding on the best investment vehicle for yourself. You can also use the Portfolio Builder or Portfolio Optimizer to construct your own personalized portfolio.

Assets and weight constraints used in the optimizer process:

- Bond ETF Rotation Strategy (BRS) (0% to 100%)
- BUG Permanent Portfolio Strategy (BUG) (0% to 100%)
- Leveraged Gold-Currency Strategy (GLD-USD) (0% to 100%)
- Global Market Rotation Strategy (GMRS) (0% to 100%)
- Global Sector Rotation Strategy (GSRS) (0% to 100%)
- Universal Investment Strategy (UIS) (0% to 100%)
- Universal Investment Strategy 2x Leverage (UISx2) (0% to 100%)
- US Market Strategy (USMarket) (0% to 100%)
- US Market Strategy 2x Leverage (USMx2) (0% to 100%)
- US Sector Rotation Strategy (USSECT) (0% to 100%)
- World Top 4 Strategy (WTOP4) (0% to 100%)

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (84.3%) in the period of the last 5 years, the total return, or performance of 191.2% of Volatility less than 15% is larger, thus better.
- During the last 3 years, the total return is 91.9%, which is greater, thus better than the value of 37.3% 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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (13%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 23.8% of Volatility less than 15% is greater, thus better.
- Looking at annual performance (CAGR) in of 24.3% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (11.1%).

'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.'

Which means for our asset as example:- Looking at the volatility of 13.7% in the last 5 years of Volatility less than 15%, we see it is relatively lower, thus better in comparison to the benchmark SPY (18.8%)
- Looking at 30 days standard deviation in of 14.9% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (22.3%).

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:- The downside risk over 5 years of Volatility less than 15% is 9.6%, which is smaller, thus better compared to the benchmark SPY (13.7%) in the same period.
- Compared with SPY (16.5%) in the period of the last 3 years, the downside risk of 10.7% is smaller, thus better.

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (0.56) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 1.56 of Volatility less than 15% is larger, thus better.
- Looking at Sharpe Ratio in of 1.46 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.39).

'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:- Compared with the benchmark SPY (0.77) in the period of the last 5 years, the excess return divided by the downside deviation of 2.23 of Volatility less than 15% is greater, thus better.
- During the last 3 years, the excess return divided by the downside deviation is 2.04, which is higher, thus better than the value of 0.52 from the benchmark.

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (5.78 ) in the period of the last 5 years, the Ulcer Ratio of 4.33 of Volatility less than 15% is smaller, thus better.
- Looking at Ulcer Ratio in of 4.41 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (7.08 ).

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Using this definition on our asset we see for example:- The maximum drop from peak to valley over 5 years of Volatility less than 15% is -20.6 days, which is greater, thus better compared to the benchmark SPY (-33.7 days) in the same period.
- During the last 3 years, the maximum DrawDown is -20.6 days, which is greater, thus better than the value of -33.7 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:- Looking at the maximum days below previous high of 253 days in the last 5 years of Volatility less than 15%, we see it is relatively greater, thus worse in comparison to the benchmark SPY (139 days)
- Looking at maximum time in days below previous high water mark in of 253 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (139 days).

'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 47 days in the last 5 years of Volatility less than 15%, we see it is relatively larger, thus worse in comparison to the benchmark SPY (37 days)
- During the last 3 years, the average days under water is 59 days, which is larger, thus worse than the value of 45 days from the benchmark.

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of Volatility less than 15% 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.