**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%)
- World Top 4 Strategy (WTOP4) (0% to 60%)
- Global Sector Rotation Strategy (GSRS) (0% to 60%)
- Global Market Rotation Strategy (GMRS) (0% to 60%)
- NASDAQ 100 Strategy (NAS100) (0% to 60%)
- US Sector Rotation Strategy (USSECT) (0% to 60%)
- Leveraged Universal Investment Strategy (UISx3) (0% to 15%)
- Universal Investment Strategy (UIS) (0% to 60%)
- US Market Strategy (USMarket) (0% to 60%)
- Dow 30 Strategy (DOW30) (0% to 60%)
- Short Term Bond Strategy (STBS) (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:- The total return, or performance over 5 years of Aggressive Risk Portfolio is 279%, which is larger, thus better compared to the benchmark SPY (81.7%) in the same period.
- Compared with SPY (54.7%) in the period of the last 3 years, the total return, or performance of 163.2% is higher, thus better.

'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:- Compared with the benchmark SPY (12.7%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 30.6% of Aggressive Risk Portfolio is higher, thus better.
- Looking at annual performance (CAGR) in of 38% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (15.6%).

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (13.3%) in the period of the last 5 years, the volatility of 17% of Aggressive Risk Portfolio is larger, thus worse.
- Compared with SPY (12.8%) in the period of the last 3 years, the 30 days standard deviation of 18.1% is greater, thus worse.

'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 10.2% in the last 5 years of Aggressive Risk Portfolio, we see it is relatively smaller, thus better in comparison to the benchmark SPY (14.8%)
- During the last 3 years, the downside risk is 10.4%, which is smaller, thus better than the value of 14.8% from the benchmark.

'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.'

Using this definition on our asset we see for example:- The risk / return profile (Sharpe) over 5 years of Aggressive Risk Portfolio is 1.66, which is higher, thus better compared to the benchmark SPY (0.76) in the same period.
- Compared with SPY (1.03) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 1.96 is greater, thus better.

'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:- The excess return divided by the downside deviation over 5 years of Aggressive Risk Portfolio is 2.76, which is greater, thus better compared to the benchmark SPY (0.69) in the same period.
- Looking at excess return divided by the downside deviation in of 3.4 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.89).

'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.'

Using this definition on our asset we see for example:- The Ulcer Index over 5 years of Aggressive Risk Portfolio is 2.59 , which is lower, thus better compared to the benchmark SPY (3.97 ) in the same period.
- Compared with SPY (4.09 ) in the period of the last 3 years, the Ulcer Index of 1.96 is lower, thus better.

'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.'

Which means for our asset as example:- The maximum reduction from previous high over 5 years of Aggressive Risk Portfolio is -7.8 days, which is higher, thus better compared to the benchmark SPY (-19.3 days) in the same period.
- During the last 3 years, the maximum DrawDown is -7.8 days, which is higher, thus better than the value of -19.3 days from the benchmark.

'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:- Looking at the maximum time in days below previous high water mark of 272 days in the last 5 years of Aggressive Risk Portfolio, we see it is relatively greater, thus worse in comparison to the benchmark SPY (187 days)
- Looking at maximum time in days below previous high water mark in of 93 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (139 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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (42 days) in the period of the last 5 years, the average days under water of 50 days of Aggressive Risk Portfolio is larger, thus worse.
- Compared with SPY (37 days) in the period of the last 3 years, the average days below previous high of 18 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 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.