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:
  • The total return over 5 years of Crypto & Leveraged Top 2 Strategy is 94.8%, which is greater, thus better compared to the benchmark BTC-USD (56.9%) in the same period.
  • Compared with BTC-USD (184.2%) in the period of the last 3 years, the total return, or performance of 220.8% is higher, thus better.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Applying this definition to our asset in some examples:
  • The annual performance (CAGR) over 5 years of Crypto & Leveraged Top 2 Strategy is 14.3%, which is higher, thus better compared to the benchmark BTC-USD (9.5%) in the same period.
  • Looking at annual return (CAGR) in of 47.9% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to BTC-USD (42%).

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 48.2%, which is lower, thus better compared to the benchmark BTC-USD (52.5%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 50.6%, which is larger, thus worse than the value of 47.8% 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.'

Which means for our asset as example:
  • Looking at the downside deviation of 34.9% 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 (35.6%)
  • During the last 3 years, the downside risk is 37.5%, which is larger, thus worse than the value of 30.4% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (0.13) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.25 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Compared with BTC-USD (0.83) in the period of the last 3 years, the Sharpe Ratio of 0.9 is higher, thus better.

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:
  • Compared with the benchmark BTC-USD (0.2) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.34 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • During the last 3 years, the downside risk / excess return profile is 1.21, which is smaller, thus worse than the value of 1.3 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:
  • Looking at the Ulcer Index of 37 in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively lower, thus better in comparison to the benchmark BTC-USD (42 )
  • Looking at Ulcer Ratio in of 26 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to BTC-USD (23 ).

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.'

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 higher, thus better compared to the benchmark BTC-USD (-76.6 days) in the same period.
  • Looking at maximum drop from peak to valley in of -58.2 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to BTC-USD (-53.1 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.'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Crypto & Leveraged Top 2 Strategy is 773 days, which is higher, thus worse compared to the benchmark BTC-USD (580 days) in the same period.
  • During the last 3 years, the maximum days under water is 181 days, which is lower, thus better than the value of 236 days from the benchmark.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark BTC-USD (177 days) in the period of the last 5 years, the average days under water of 268 days of Crypto & Leveraged Top 2 Strategy is greater, thus worse.
  • Looking at average days under water in of 60 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to BTC-USD (68 days).

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.