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:
  • The total return over 5 years of Crypto & Leveraged Top 2 Strategy is 1245.9%, which is larger, thus better compared to the benchmark BTC-USD (1203.8%) in the same period.
  • Looking at total return, or performance in of 5% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to BTC-USD (79%).

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.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 68.4% 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 (67.3%)
  • Looking at annual return (CAGR) in of 1.7% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to BTC-USD (21.5%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the 30 days standard deviation of 53.4% in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively smaller, thus better in comparison to the benchmark BTC-USD (61.5%)
  • Compared with BTC-USD (55.1%) in the period of the last 3 years, the historical 30 days volatility of 42.3% is smaller, thus better.

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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (40.1%) in the period of the last 5 years, the downside volatility of 34.4% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • Compared with BTC-USD (37.2%) in the period of the last 3 years, the downside deviation of 28.6% is smaller, thus better.

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.'

Which means for our asset as example:
  • Looking at the Sharpe Ratio of 1.23 in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively larger, thus better in comparison to the benchmark BTC-USD (1.05)
  • Looking at Sharpe Ratio in of -0.02 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to BTC-USD (0.34).

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.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of 1.92 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 (1.62)
  • During the last 3 years, the ratio of annual return and downside deviation is -0.03, which is lower, thus worse than the value of 0.51 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:
  • The Downside risk index over 5 years of Crypto & Leveraged Top 2 Strategy is 32 , which is smaller, thus better compared to the benchmark BTC-USD (40 ) in the same period.
  • Compared with BTC-USD (36 ) in the period of the last 3 years, the Ulcer Ratio of 36 is greater, 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:
  • The maximum DrawDown over 5 years of Crypto & Leveraged Top 2 Strategy is -64.7 days, which is greater, thus better compared to the benchmark BTC-USD (-76.6 days) in the same period.
  • Looking at maximum reduction from previous high in of -61.7 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to BTC-USD (-66.7 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.'

Which means for our asset as example:
  • Looking at the maximum days under water of 773 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 BTC-USD (580 days)
  • During the last 3 years, the maximum time in days below previous high water mark is 484 days, which is greater, thus worse than the value of 469 days from the benchmark.

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:
  • Looking at the average days under water of 260 days in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively higher, thus worse in comparison to the benchmark BTC-USD (167 days)
  • Compared with BTC-USD (173 days) in the period of the last 3 years, the average days under water of 183 days is higher, thus worse.

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.