This portfolio has been optimized for achieving the highest possible return while limiting the historical volatility to 7% or less over the analyzed period with the involved assets. The volatility limit of 7% equals about half the volatility, or risk, of the iShares 20+ Year Treasury Bond ETF - TLT.

As such it is a very conservative Portfolio suited for very risk adverse investors with conservative 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%)
- World Top 4 Strategy (WTOP4) (0% to 100%)
- Global Sector Rotation Strategy (GSRS) (0% to 100%)
- Global Market Rotation Strategy (GMRS) (0% to 100%)
- Maximum Yield Strategy (MYRS) (0% to 100%)
- NASDAQ 100 Strategy (NAS100) (0% to 100%)
- Leveraged Gold-Currency Strategy (GLD-USD) (0% to 100%)
- US Sector Rotation Strategy (USSECT) (0% to 100%)
- Leveraged Universal Investment Strategy (UISx3) (0% to 100%)
- US Market Strategy (USMarket) (0% to 100%)
- Dow 30 Strategy (DOW30) (0% to 100%)
- Universal Investment Strategy (UIS) (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.'

Which means for our asset as example:- The total return over 5 years of Volatility less than 7% is 82.8%, which is larger, thus better compared to the benchmark SPY (68.2%) in the same period.
- Compared with SPY (47.7%) in the period of the last 3 years, the total return, or performance of 40.9% is lower, thus worse.

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:- Compared with the benchmark SPY (11%) in the period of the last 5 years, the annual performance (CAGR) of 12.8% of Volatility less than 7% is larger, thus better.
- Looking at annual return (CAGR) in of 12.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (13.9%).

'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 volatility over 5 years of Volatility less than 7% is 5.8%, which is lower, thus better compared to the benchmark SPY (13.2%) in the same period.
- Looking at volatility in of 5% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (12.4%).

'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.'

Using this definition on our asset we see for example:- Looking at the downside volatility of 6.5% in the last 5 years of Volatility less than 7%, we see it is relatively smaller, thus better in comparison to the benchmark SPY (14.6%)
- Looking at downside risk in of 5.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (14%).

'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.'

Which means for our asset as example:- The Sharpe Ratio over 5 years of Volatility less than 7% is 1.78, which is larger, thus better compared to the benchmark SPY (0.64) in the same period.
- Compared with SPY (0.92) in the period of the last 3 years, the risk / return profile (Sharpe) of 1.91 is larger, 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:- The excess return divided by the downside deviation over 5 years of Volatility less than 7% is 1.6, which is larger, thus better compared to the benchmark SPY (0.58) in the same period.
- Looking at downside risk / excess return profile in of 1.67 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.81).

'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.'

Using this definition on our asset we see for example:- Looking at the Downside risk index of 1.75 in the last 5 years of Volatility less than 7%, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (3.95 )
- During the last 3 years, the Ulcer Index is 1.31 , which is smaller, thus worse than the value of 4 from the benchmark.

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum DrawDown of -7.3 days of Volatility less than 7% is higher, thus better.
- Looking at maximum DrawDown in of -4.7 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-19.3 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'

Which means for our asset as example:- The maximum days under water over 5 years of Volatility less than 7% is 185 days, which is lower, thus better compared to the benchmark SPY (187 days) in the same period.
- During the last 3 years, the maximum time in days below previous high water mark is 168 days, which is larger, thus worse than the value of 131 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.'

Applying this definition to our asset in some examples:- The average days below previous high over 5 years of Volatility less than 7% is 38 days, which is smaller, thus better compared to the benchmark SPY (39 days) in the same period.
- During the last 3 years, the average time in days below previous high water mark is 33 days, which is greater, thus worse than the value of 33 days from the benchmark.

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 Volatility less than 7% 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.