**Recommended for:** Capital growth, speculation and young investors.

The Aggressive Risk Portfolio is appropriate for an investor with a high risk tolerance and a time horizon longer than 10 years. Aggressive investors should be willing to accept periods of extreme ups and downs in exchange for the possibility of receiving higher relative returns over the long term. A longer time horizon is needed to allow time for investments to recover in the event of a sharp downturn. This portfolio is heavily weighted with stocks which are historically more volatile than bonds and may include leveraged ETFs such as UGLD, SPXL and TMF.

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 60%)
- BUG Permanent Portfolio Strategy (BUG) (0% to 60%)
- Global Market Rotation Strategy (GMRS) (0% to 60%)
- Global Sector Rotation Strategy (GSRS) (0% to 60%)
- Short Term Bond Strategy (STBS) (0% to 60%)
- Universal Investment Strategy (UIS) (0% to 60%)
- Universal Investment Strategy 2x Leverage (UISx2) (0% to 60%)
- US Market Strategy 2x Leverage (USMx2) (0% to 60%)
- US Sector Rotation Strategy (USSECT) (0% to 60%)
- World Top 4 Strategy (WTOP4) (0% to 60%)

'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.'

Which means for our asset as example:- Looking at the total return of 156.1% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively greater, thus better in comparison to the benchmark SPY (67.8%)
- During the last 3 years, the total return, or increase in value is 60.2%, which is higher, thus better than the value of 44.5% from the benchmark.

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:- Looking at the compounded annual growth rate (CAGR) of 20.7% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively greater, thus better in comparison to the benchmark SPY (10.9%)
- During the last 3 years, the compounded annual growth rate (CAGR) is 17%, which is greater, thus better than the value of 13.1% from the benchmark.

'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:- Looking at the historical 30 days volatility of 15.4% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (21.4%)
- During the last 3 years, the volatility is 15.9%, which is lower, thus better than the value of 18.8% from the benchmark.

'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.'

Applying this definition to our asset in some examples:- The downside deviation over 5 years of Aggressive Risk Portfolio is 10.9%, which is lower, thus better compared to the benchmark SPY (15.4%) in the same period.
- Compared with SPY (13.3%) in the period of the last 3 years, the downside volatility of 11.4% is smaller, thus better.

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:- The ratio of return and volatility (Sharpe) over 5 years of Aggressive Risk Portfolio is 1.19, which is larger, thus better compared to the benchmark SPY (0.39) in the same period.
- Looking at Sharpe Ratio in of 0.91 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.56).

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (0.55) in the period of the last 5 years, the excess return divided by the downside deviation of 1.67 of Aggressive Risk Portfolio is greater, thus better.
- During the last 3 years, the excess return divided by the downside deviation is 1.27, which is greater, thus better than the value of 0.79 from the benchmark.

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Which means for our asset as example:- Looking at the Downside risk index of 5.54 in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (9.46 )
- Looking at Downside risk index in of 6.4 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

'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.'

Using this definition on our asset we see for example:- Looking at the maximum drop from peak to valley of -20.8 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively larger, thus better in comparison to the benchmark SPY (-33.7 days)
- Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum DrawDown of -19.6 days is larger, 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) in days.'

Using this definition on our asset we see for example:- Looking at the maximum days below previous high of 278 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively lower, thus better in comparison to the benchmark SPY (352 days)
- During the last 3 years, the maximum days under water is 278 days, which is lower, thus better than the value of 352 days from the benchmark.

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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:- Compared with the benchmark SPY (78 days) in the period of the last 5 years, the average days under water of 53 days of Aggressive Risk Portfolio is lower, thus better.
- During the last 3 years, the average days below previous high is 69 days, which is lower, thus better than the value of 102 days from the benchmark.

Historical returns have been extended using synthetic data.
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Allocations and holdings shown below are delayed by one month.

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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of Aggressive Risk Portfolio 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.