This portfolio has been optimized for achieving the highest possible return while limiting the historical volatility to 10% or less over the analyzed period with the involved assets. As a reference, the volatility limit of 10% is about two thirds of the volatility, or risk, of the SPDR S&P 500 (SPY).

As such it is a conservative Portfolio suited for risk adverse investors with moderate 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%)
- Global Market Rotation Strategy (GMRS) (0% to 100%)
- Global Sector Rotation Strategy (GSRS) (0% to 100%)
- Maximum Yield Strategy (MYRS) (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%)

'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.'

Applying this definition to our asset in some examples:- Looking at the total return, or performance of 116.5% in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (103.4%)
- Looking at total return in of 40% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (33.4%).

'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.'

Which means for our asset as example:- The annual return (CAGR) over 5 years of Volatility less than 10% is 16.7%, which is higher, thus better compared to the benchmark SPY (15.3%) in the same period.
- Compared with SPY (10.1%) in the period of the last 3 years, the annual return (CAGR) of 11.9% is higher, thus better.

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Using this definition on our asset we see for example:- The 30 days standard deviation over 5 years of Volatility less than 10% is 11.1%, which is lower, thus better compared to the benchmark SPY (20.9%) in the same period.
- During the last 3 years, the 30 days standard deviation is 9.5%, which is lower, thus better than the value of 17.3% from the benchmark.

'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:- Looking at the downside risk of 7.9% in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (14.9%)
- During the last 3 years, the downside deviation is 6.7%, which is smaller, thus better than the value of 12.1% from the benchmark.

'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:- Looking at the Sharpe Ratio of 1.29 in the last 5 years of Volatility less than 10%, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.61)
- Compared with SPY (0.44) in the period of the last 3 years, the Sharpe Ratio of 0.99 is greater, thus better.

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Which means for our asset as example:- Compared with the benchmark SPY (0.85) in the period of the last 5 years, the excess return divided by the downside deviation of 1.79 of Volatility less than 10% is higher, thus better.
- Looking at downside risk / excess return profile in of 1.41 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.63).

'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:- Looking at the Downside risk index of 3.04 in the last 5 years of Volatility less than 10%, we see it is relatively smaller, thus better in comparison to the benchmark SPY (9.32 )
- During the last 3 years, the Ulcer Index is 3.01 , which is lower, thus better than the value of 10 from the benchmark.

'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:- Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -16.9 days of Volatility less than 10% is greater, thus better.
- Looking at maximum reduction from previous high in of -10.6 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-24.5 days).

'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'

Applying this definition to our asset in some examples:- The maximum days below previous high over 5 years of Volatility less than 10% is 243 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
- Compared with SPY (488 days) in the period of the last 3 years, the maximum days below previous high of 243 days is lower, thus better.

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (123 days) in the period of the last 5 years, the average days under water of 42 days of Volatility less than 10% is lower, thus better.
- Compared with SPY (180 days) in the period of the last 3 years, the average days under water of 55 days is smaller, thus better.

Historical returns have been extended using synthetic data.
[Show Details]

Allocations and holdings shown below are delayed by one month.

Register now to get the current trading allocations.

- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of Volatility less than 10% are hypothetical and do not account for slippage, fees or taxes.
- Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.