Description

This is a very aggressive strategy that invests in the top performers across a selection of crypto, equity, treasury and precious metal assets with similar volatility characteristics. These asset classes are represented by Bitcoin, Ethereum, SPXL, TMF and AGQ. Twice each month, the strategy ranks these assets using our Modified Sharpe Ratio and invests 50% of the portfolio in each of the top two performers.

Due to the nature of crypto currency and leveraged ETFs, investors should be prepared for large swings up and down.

Here are some of the possible market scenarios this strategy is designed take advantage of:

  • Ethereum is performing well but Bitcoin is under-performing. The strategy can invest 50% in Ethereum and 50% in SPXL.
  • A prolonged crypto bear market. The strategy can shift to 50% in SPXL and 50% in TMF.
  • Cryptos are outperforming other asset classes. The strategy could invest fully in crypto assets by allocating 50% to Bitcoin and 50% to Ethereum.

Twice Monthly Rebalancing

The strategy rebalances on the 1st and 16th of each month which provides a balance between a very active daily or weekly rebalancing, that can cause whipsaws, and a monthly rebalancing that may be too slow considering how fast the crypto markets move. The twice-monthly frequency is simple to execute, avoids whipsaws but can still react to shifting market trends.

Statistics (YTD)

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

TotalReturn:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (122.2%) in the period of the last 5 years, the total return of 29307.7% of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Compared with SPY (65.7%) in the period of the last 3 years, the total return, or increase in value of 1868% is greater, thus better.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of Crypto & Leveraged Top 2 Strategy is 213.1%, which is greater, thus better compared to the benchmark SPY (17.3%) in the same period.
  • Compared with SPY (18.3%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 171.4% is greater, thus better.

Volatility:

'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.'

Using this definition on our asset we see for example:
  • The 30 days standard deviation over 5 years of Crypto & Leveraged Top 2 Strategy is 68.4%, which is higher, thus worse compared to the benchmark SPY (18.7%) in the same period.
  • During the last 3 years, the volatility is 63.5%, which is greater, thus worse than the value of 22.5% from the benchmark.

DownVol:

'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 SPY (13.5%) in the period of the last 5 years, the downside risk of 42.1% of Crypto & Leveraged Top 2 Strategy is greater, thus worse.
  • Looking at downside deviation in of 41.4% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (16.3%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Using this definition on our asset we see for example:
  • The ratio of return and volatility (Sharpe) over 5 years of Crypto & Leveraged Top 2 Strategy is 3.08, which is higher, thus better compared to the benchmark SPY (0.79) in the same period.
  • Looking at ratio of return and volatility (Sharpe) in of 2.66 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.7).

Sortino:

'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.'

Which means for our asset as example:
  • The downside risk / excess return profile over 5 years of Crypto & Leveraged Top 2 Strategy is 5.01, which is higher, thus better compared to the benchmark SPY (1.09) in the same period.
  • Compared with SPY (0.97) in the period of the last 3 years, the ratio of annual return and downside deviation of 4.08 is greater, thus better.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (5.58 ) in the period of the last 5 years, the Ulcer Ratio of 29 of Crypto & Leveraged Top 2 Strategy is larger, thus worse.
  • During the last 3 years, the Ulcer Index is 18 , which is higher, thus worse than the value of 6.83 from the benchmark.

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:
  • The maximum drop from peak to valley over 5 years of Crypto & Leveraged Top 2 Strategy is -60.6 days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Looking at maximum reduction from previous high in of -50.3 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-33.7 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) in days.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of 365 days in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (139 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 232 days is higher, thus worse.

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 (33 days) in the period of the last 5 years, the average days below previous high of 94 days of Crypto & Leveraged Top 2 Strategy is larger, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 63 days, which is higher, thus worse than the value of 35 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Crypto & Leveraged Top 2 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.