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%)

'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.'

Using this definition on our asset we see for example:- The total return, or increase in value over 5 years of Volatility less than 10% is 116.2%, which is greater, thus better compared to the benchmark SPY (97%) in the same period.
- During the last 3 years, the total return, or increase in value is 40.5%, which is greater, thus better than the value of 39.3% from the benchmark.

'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:- The annual performance (CAGR) over 5 years of Volatility less than 10% is 16.7%, which is larger, thus better compared to the benchmark SPY (14.6%) in the same period.
- Compared with SPY (11.7%) in the period of the last 3 years, the annual performance (CAGR) of 12% is higher, thus better.

'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.'

Applying this definition to our asset in some examples:- The historical 30 days volatility over 5 years of Volatility less than 10% is 11%, which is lower, thus better compared to the benchmark SPY (20.9%) in the same period.
- Looking at historical 30 days volatility in of 9.6% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (17.5%).

'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:- 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 (15%)
- 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 is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (0.58) in the period of the last 5 years, the Sharpe Ratio of 1.29 of Volatility less than 10% is greater, thus better.
- During the last 3 years, the risk / return profile (Sharpe) is 1, which is greater, thus better than the value of 0.53 from the benchmark.

'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 1.8 in the last 5 years of Volatility less than 10%, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.8)
- Compared with SPY (0.76) in the period of the last 3 years, the excess return divided by the downside deviation of 1.43 is larger, 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.'

Using this definition on our asset we see for example:- The Downside risk index over 5 years of Volatility less than 10% is 3.04 , which is lower, thus better compared to the benchmark SPY (9.33 ) in the same period.
- Compared with SPY (10 ) in the period of the last 3 years, the Ulcer Index of 3.02 is lower, thus better.

'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.'

Which means for our asset as 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.
- Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum reduction from previous high of -10.6 days is higher, thus better.

'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:- Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 243 days of Volatility less than 10% is smaller, thus better.
- Looking at maximum days under water in of 243 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (488 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.'

Applying this definition to our asset in some examples:- 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 smaller, thus better.
- Compared with SPY (181 days) in the period of the last 3 years, the average days below previous high of 56 days is smaller, thus better.

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 10% 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.