Description

This very aggressive strategy 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.'

Which means for our asset as example:
  • Looking at the total return, or increase in value of 130.9% in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively higher, thus better in comparison to the benchmark BTC-USD (88%)
  • During the last 3 years, the total return, or performance is 243.3%, which is larger, thus better than the value of 217.5% from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of Crypto & Leveraged Top 2 Strategy is 18.3%, which is larger, thus better compared to the benchmark BTC-USD (13.5%) in the same period.
  • Looking at annual return (CAGR) in of 51.2% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to BTC-USD (47.3%).

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:
  • The 30 days standard deviation over 5 years of Crypto & Leveraged Top 2 Strategy is 47.8%, which is lower, thus better compared to the benchmark BTC-USD (52.4%) in the same period.
  • During the last 3 years, the volatility is 50.8%, which is higher, thus worse than the value of 48% 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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (35.2%) in the period of the last 5 years, the downside deviation of 34.5% of Crypto & Leveraged Top 2 Strategy is smaller, thus better.
  • Compared with BTC-USD (30.4%) in the period of the last 3 years, the downside risk of 37.6% is larger, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark BTC-USD (0.21) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.33 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Compared with BTC-USD (0.93) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.96 is larger, thus better.

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.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 0.46 in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively greater, thus better in comparison to the benchmark BTC-USD (0.31)
  • During the last 3 years, the excess return divided by the downside deviation is 1.3, which is lower, thus worse than the value of 1.47 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (42 ) in the period of the last 5 years, the Downside risk index of 37 of Crypto & Leveraged Top 2 Strategy is smaller, thus better.
  • Compared with BTC-USD (23 ) in the period of the last 3 years, the Ulcer Ratio of 27 is higher, thus worse.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (-76.6 days) in the period of the last 5 years, the maximum reduction from previous high of -64.7 days of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • During the last 3 years, the maximum DrawDown is -58.2 days, which is smaller, thus worse than the value of -53.1 days from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (580 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 773 days of Crypto & Leveraged Top 2 Strategy is larger, thus worse.
  • Looking at maximum time in days below previous high water mark in of 181 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to BTC-USD (242 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (178 days) in the period of the last 5 years, the average days below previous high of 269 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 61 days, which is lower, thus better than the value of 70 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 Crypto & Leveraged Top 2 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.