The Dow 30 strategy is a good way to invest in the best of the Dow 30 blue chips while avoiding the old fashioned underperforming members of the Dow 30 index.

The strategy uses a risk-adjusted momentum algorithm to choose the top four Dow 30 stocks with a variable allocation to treasuries or gold to smooth the equity curve and provide crash protection in bear markets. The strategy combines well with our more conservative strategies, such as the Bond Rotation Strategy or BUG, or with one of our non-U.S. equity strategies such as World Top 4, to form a well balanced portfolio.

The performance of the Dow 30 strategy is quite similar to the simpler US Market Strategy, however in volatile markets, the stock picking Dow 30 can outperformed the Dow 30 index.

'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:- Compared with the benchmark DIA (64.1%) in the period of the last 5 years, the total return of 108.4% of Dow 30 Strategy is larger, thus better.
- Looking at total return in of 51.2% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to DIA (28.9%).

'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 DIA (10.4%) in the period of the last 5 years, the annual performance (CAGR) of 15.8% of Dow 30 Strategy is higher, thus better.
- Looking at compounded annual growth rate (CAGR) in of 14.8% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to DIA (8.8%).

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Applying this definition to our asset in some examples:- Looking at the historical 30 days volatility of 8.1% in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (20.1%)
- During the last 3 years, the 30 days standard deviation is 9.3%, which is smaller, thus better than the value of 23.8% 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:- Compared with the benchmark DIA (14.7%) in the period of the last 5 years, the downside deviation of 5.5% of Dow 30 Strategy is smaller, thus better.
- Compared with DIA (17.5%) in the period of the last 3 years, the downside risk of 6.5% is smaller, thus better.

'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:- Looking at the ratio of return and volatility (Sharpe) of 1.64 in the last 5 years of Dow 30 Strategy, we see it is relatively higher, thus better in comparison to the benchmark DIA (0.39)
- During the last 3 years, the risk / return profile (Sharpe) is 1.32, which is higher, thus better than the value of 0.27 from the benchmark.

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Applying this definition to our asset in some examples:- The downside risk / excess return profile over 5 years of Dow 30 Strategy is 2.4, which is larger, thus better compared to the benchmark DIA (0.54) in the same period.
- During the last 3 years, the excess return divided by the downside deviation is 1.89, which is larger, thus better than the value of 0.36 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 1.77 in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (6.48 )
- During the last 3 years, the Downside risk index is 2.07 , which is smaller, thus better than the value of 7.76 from the benchmark.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark DIA (-36.7 days) in the period of the last 5 years, the maximum reduction from previous high of -13.6 days of Dow 30 Strategy is greater, thus better.
- Looking at maximum reduction from previous high in of -13.6 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to DIA (-36.7 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:- Looking at the maximum time in days below previous high water mark of 125 days in the last 5 years of Dow 30 Strategy, we see it is relatively smaller, thus better in comparison to the benchmark DIA (186 days)
- During the last 3 years, the maximum time in days below previous high water mark is 125 days, which is lower, thus better than the value of 161 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 time in days below previous high water mark over 5 years of Dow 30 Strategy is 20 days, which is smaller, thus better compared to the benchmark DIA (49 days) in the same period.
- During the last 3 years, the average time in days below previous high water mark is 23 days, which is lower, thus better than the value of 48 days from the benchmark.

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 Dow 30 Strategy 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.