Description

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:

  1. 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.
  2. 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.
  3. 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.
Methodology & Assets

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

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 465.9% in the last 5 years of NASDAQ 100 Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (96.6%)
  • Looking at total return, or performance in of 82.2% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (28.8%).

CAGR:

'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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 41.5% in the last 5 years of NASDAQ 100 Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (14.5%)
  • Looking at annual performance (CAGR) in of 22.1% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (8.8%).

Volatility:

'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:
  • Compared with the benchmark SPY (21%) in the period of the last 5 years, the 30 days standard deviation of 18.7% of NASDAQ 100 Strategy is smaller, thus better.
  • Looking at 30 days standard deviation in of 15.6% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (17.4%).

DownVol:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the downside volatility of 11.9% of NASDAQ 100 Strategy is lower, thus better.
  • Compared with SPY (12.1%) in the period of the last 3 years, the downside volatility of 10% is smaller, thus better.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Looking at the Sharpe Ratio of 2.09 in the last 5 years of NASDAQ 100 Strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.57)
  • Looking at risk / return profile (Sharpe) in of 1.26 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.36).

Sortino:

'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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 3.27 in the last 5 years of NASDAQ 100 Strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.8)
  • Compared with SPY (0.52) in the period of the last 3 years, the excess return divided by the downside deviation of 1.96 is higher, thus better.

Ulcer:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (9.32 ) in the period of the last 5 years, the Downside risk index of 4.45 of NASDAQ 100 Strategy is smaller, thus better.
  • Looking at Ulcer Ratio in of 4.42 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

MaxDD:

'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.'

Using this definition on our asset we see for example:
  • Looking at the maximum DrawDown of -19.7 days in the last 5 years of NASDAQ 100 Strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (-33.7 days)
  • Looking at maximum DrawDown in of -11.2 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-24.5 days).

MaxDuration:

'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:
  • The maximum days below previous high over 5 years of NASDAQ 100 Strategy is 300 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 300 days is lower, thus better.

AveDuration:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (123 days) in the period of the last 5 years, the average days under water of 54 days of NASDAQ 100 Strategy is lower, thus better.
  • During the last 3 years, the average time in days below previous high water mark is 76 days, which is lower, thus better than the value of 178 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of NASDAQ 100 Strategy are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.