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 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (86.8%) in the period of the last 5 years, the total return, or performance of 440.3% of NASDAQ 100 Strategy is higher, thus better.
  • Looking at total return, or increase in value in of 76.5% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (26.3%).

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:
  • The compounded annual growth rate (CAGR) over 5 years of NASDAQ 100 Strategy is 40.2%, which is greater, thus better compared to the benchmark SPY (13.3%) in the same period.
  • During the last 3 years, the annual return (CAGR) is 20.9%, which is higher, thus better than the value of 8.1% from the benchmark.

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:
  • Looking at the historical 30 days volatility of 18.6% in the last 5 years of NASDAQ 100 Strategy, we see it is relatively smaller, thus better in comparison to the benchmark SPY (20.9%)
  • During the last 3 years, the 30 days standard deviation is 15.4%, which is lower, thus better than the value of 17.3% from the benchmark.

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.
  • During the last 3 years, the downside volatility is 10%, which is lower, thus better than the value of 12.1% from the benchmark.

Sharpe:

'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 (0.52) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 2.02 of NASDAQ 100 Strategy is higher, thus better.
  • Looking at risk / return profile (Sharpe) in of 1.19 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.32).

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:
  • The downside risk / excess return profile over 5 years of NASDAQ 100 Strategy is 3.17, which is higher, thus better compared to the benchmark SPY (0.72) in the same period.
  • Looking at ratio of annual return and downside deviation in of 1.84 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.46).

Ulcer:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (9.33 ) in the period of the last 5 years, the Ulcer Ratio of 4.44 of NASDAQ 100 Strategy is lower, thus better.
  • Compared with SPY (10 ) in the period of the last 3 years, the Downside risk index of 4.41 is lower, thus better.

MaxDD:

'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:
  • Looking at the maximum DrawDown of -19.7 days in the last 5 years of NASDAQ 100 Strategy, we see it is relatively larger, 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 greater, thus better in comparison to SPY (-24.5 days).

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Which means for our asset as example:
  • Looking at the maximum days under water of 300 days in the last 5 years of NASDAQ 100 Strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 300 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (488 days).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (122 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 days under water is 76 days, which is smaller, 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, 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.