The Nasdaq 100 Strategy is a good way to ride the extraordinary momentum of the Nasdaq 100 Index while keeping some protection from market downturns. It is also a great alternative for stock-pickers looking for a rules-based stock selection strategy.

The strategy uses a risk-adjusted momentum algorithm to choose the top four Nasdaq 100 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 existence of price momentum has been heavily studied and well documented over the years. It reveals itself in assets that have strong absolute performance or performance relative to their peers. Logical Invest has exploited asset class and sector momentum in many of our strategies for years. We have found individual stock momentum tends to be an even stronger force, particularly in the top NASDAQ stocks. When properly identified, it can be capitalized on to provide an investment edge.

During bull markets, and especially "risk off" periods, the strongest NASDAQ stocks typically beat the market handily. However, they can also get ahead of themselves which makes them more vulnerable during "risk on" periods. To manage those challenges, the strategy incorporates several advanced methodologies:

- Mean Reversion - Momentum is based on the principle of buying high and selling higher, however, as most investors have experienced, stocks that rise too quickly can also have short-term corrections. The strategy uses a mean reversion component to penalize stocks that rise too much or too fast.
- Protection - The strategy allocates a portion to treasuries to balance out the supercharged Nasdaq momentum stocks. This improves risk adjusted returns and moderates strategy drawdowns. The model also allocates more to treasuries if the overall Nasdaq 100 index exhibits momentum weakness.
- Intelligent Ranking - Our algorithms ensures we get the right blend of stocks that work well together and have an allocation to each individual stock that reflects its volatility in relation to other stocks.

The model chooses four individual stocks from the NASDAQ 100 stock index. So depending on what stocks are in the NASDAQ 100, the stock rotation formula might include the new ones.

Additionally, the model may allocate some funds to TMF (Direxion 3x leveraged 20-yr Treasury) or to UGLD (VelocityShares 3x Long Gold ETN). This helps mitigate risk during certain market environments.

You may also use one of the alternative versions:

NASDAQ 100 Balanced unhedged Strategy

NASDAQ 100 Leaders Strategy

NASDAQ 100 Low volatility Strategy

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:- Compared with the benchmark SPY (72.2%) in the period of the last 5 years, the total return, or increase in value of 272.1% of NASDAQ 100 Strategy is higher, thus better.
- During the last 3 years, the total return is 133.6%, which is higher, thus better than the value of 48.3% 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:- Compared with the benchmark SPY (11.5%) in the period of the last 5 years, the annual return (CAGR) of 30.1% of NASDAQ 100 Strategy is higher, thus better.
- Looking at annual return (CAGR) in of 32.7% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (14.1%).

'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.'

Which means for our asset as example:- Compared with the benchmark SPY (13.2%) in the period of the last 5 years, the volatility of 16.4% of NASDAQ 100 Strategy is larger, thus worse.
- Compared with SPY (12.4%) in the period of the last 3 years, the 30 days standard deviation of 16.3% is greater, thus worse.

'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 volatility over 5 years of NASDAQ 100 Strategy is 17.9%, which is larger, thus worse compared to the benchmark SPY (14.5%) in the same period.
- Compared with SPY (14.1%) in the period of the last 3 years, the downside deviation of 17.9% is larger, thus worse.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (0.68) in the period of the last 5 years, the risk / return profile (Sharpe) of 1.68 of NASDAQ 100 Strategy is larger, thus better.
- Compared with SPY (0.93) in the period of the last 3 years, the risk / return profile (Sharpe) of 1.86 is larger, 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:- Looking at the excess return divided by the downside deviation of 1.54 in the last 5 years of NASDAQ 100 Strategy, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.62)
- Looking at downside risk / excess return profile in of 1.69 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.82).

'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.'

Using this definition on our asset we see for example:- Looking at the Ulcer Index of 4.37 in the last 5 years of NASDAQ 100 Strategy, we see it is relatively higher, thus better in comparison to the benchmark SPY (3.95 )
- Compared with SPY (4 ) in the period of the last 3 years, the Ulcer Ratio of 4.09 is higher, thus better.

'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.'

Which means for our asset as example:- Looking at the maximum drop from peak to valley of -14 days in the last 5 years of NASDAQ 100 Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (-19.3 days)
- Looking at maximum reduction from previous high in of -12.4 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (-19.3 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:- The maximum days below previous high over 5 years of NASDAQ 100 Strategy is 154 days, which is lower, thus better compared to the benchmark SPY (187 days) in the same period.
- Looking at maximum time in days below previous high water mark in of 154 days in the period of the last 3 years, we see it is relatively higher, thus worse 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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (41 days) in the period of the last 5 years, the average days under water of 28 days of NASDAQ 100 Strategy is smaller, thus better.
- Compared with SPY (36 days) in the period of the last 3 years, the average days below previous high of 29 days is lower, thus better.

Historical returns have been extended using synthetic data.
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- "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
- Performance results of NASDAQ 100 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.