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%)
- 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%)
- 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.'

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 114.7%, which is higher, thus better compared to the benchmark SPY (78.6%) in the same period.
- During the last 3 years, the total return, or performance is 58.2%, which is higher, thus better than the value of 46.5% 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 compounded annual growth rate (CAGR) over 5 years of Volatility less than 10% is 16.5%, which is higher, thus better compared to the benchmark SPY (12.3%) in the same period.
- Looking at compounded annual growth rate (CAGR) in of 16.5% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (13.6%).

'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:- Compared with the benchmark SPY (19%) in the period of the last 5 years, the volatility of 8.6% of Volatility less than 10% is smaller, thus better.
- Compared with SPY (22.1%) in the period of the last 3 years, the 30 days standard deviation of 9% is smaller, thus better.

'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 (13.9%) in the period of the last 5 years, the downside risk of 6% of Volatility less than 10% is lower, thus better.
- Looking at downside risk in of 6.4% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (16.2%).

'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 (0.52) in the period of the last 5 years, the risk / return profile (Sharpe) of 1.63 of Volatility less than 10% is greater, thus better.
- During the last 3 years, the risk / return profile (Sharpe) is 1.56, which is higher, thus better than the value of 0.5 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.'

Which means for our asset as example:- Looking at the excess return divided by the downside deviation of 2.35 in the last 5 years of Volatility less than 10%, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.71)
- Looking at excess return divided by the downside deviation in of 2.18 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.69).

'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 Ulcer Ratio of 2.38 in the last 5 years of Volatility less than 10%, we see it is relatively smaller, thus better in comparison to the benchmark SPY (5.87 )
- Compared with SPY (7.02 ) in the period of the last 3 years, the Downside risk index of 2.35 is lower, thus better.

'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.'

Applying this definition to our asset in some examples:- Looking at the maximum drop from peak to valley of -14 days in the last 5 years of Volatility less than 10%, we see it is relatively greater, thus better in comparison to the benchmark SPY (-33.7 days)
- Looking at maximum drop from peak to valley in of -14 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (-33.7 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) in days.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (139 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 135 days of Volatility less than 10% is lower, thus better.
- During the last 3 years, the maximum time in days below previous high water mark is 135 days, which is lower, thus better 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.'

Applying this definition to our asset in some examples:- Looking at the average days under water of 28 days in the last 5 years of Volatility less than 10%, we see it is relatively lower, thus better in comparison to the benchmark SPY (38 days)
- Compared with SPY (45 days) in the period of the last 3 years, the average days below previous high of 31 days is lower, 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.