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.

'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 over 5 years of Dow 30 Strategy is 95.5%, which is lower, thus worse compared to the benchmark DIA (114.6%) in the same period.
- Compared with DIA (44.7%) in the period of the last 3 years, the total return, or increase in value of 38.6% is lower, thus worse.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark DIA (16.5%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 14.4% of Dow 30 Strategy is smaller, thus worse.
- During the last 3 years, the compounded annual growth rate (CAGR) is 11.5%, which is smaller, thus worse 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.'

Applying this definition to our asset in some examples:- Looking at the 30 days standard deviation of 8.3% in the last 5 years of Dow 30 Strategy, we see it is relatively lower, thus better in comparison to the benchmark DIA (19.9%)
- Looking at volatility in of 9.2% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to DIA (23.9%).

'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:- Looking at the downside risk of 5.8% in the last 5 years of Dow 30 Strategy, we see it is relatively smaller, thus better in comparison to the benchmark DIA (14.4%)
- Looking at downside risk in of 6.5% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to DIA (17.4%).

'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:- The risk / return profile (Sharpe) over 5 years of Dow 30 Strategy is 1.43, which is higher, thus better compared to the benchmark DIA (0.7) in the same period.
- Compared with DIA (0.44) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.98 is greater, thus better.

'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 DIA (0.97) in the period of the last 5 years, the excess return divided by the downside deviation of 2.06 of Dow 30 Strategy is greater, thus better.
- Compared with DIA (0.61) in the period of the last 3 years, the ratio of annual return and downside deviation of 1.39 is greater, 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.'

Applying this definition to our asset in some examples:- Compared with the benchmark DIA (6.28 ) in the period of the last 5 years, the Downside risk index of 1.79 of Dow 30 Strategy is lower, thus better.
- During the last 3 years, the Ulcer Index is 1.99 , which is smaller, thus better than the value of 7.57 from the benchmark.

'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.'

Applying this definition to our asset in some examples:- Looking at the maximum DrawDown of -13.6 days in the last 5 years of Dow 30 Strategy, we see it is relatively greater, thus better in comparison to the benchmark DIA (-36.7 days)
- Looking at maximum DrawDown in of -13.6 days in the period of the last 3 years, we see it is relatively larger, 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). 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:- Looking at the maximum days under water 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 (187 days)
- During the last 3 years, the maximum days below previous high is 73 days, which is lower, thus better than the value of 187 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 21 days, which is smaller, thus better compared to the benchmark DIA (46 days) in the same period.
- Looking at average time in days below previous high water mark in of 17 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to DIA (48 days).

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.