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.'

Using this definition on our asset we see for example:
  • Looking at the total return of 118.6% 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 (71.1%)
  • During the last 3 years, the total return, or increase in value is 195.3%, which is higher, thus better than the value of 149.2% 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.'

Applying this definition to our asset in some examples:
  • Looking at the annual return (CAGR) of 17% 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 (11.4%)
  • Compared with BTC-USD (35.8%) in the period of the last 3 years, the annual return (CAGR) of 43.8% is higher, thus better.

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:
  • Compared with the benchmark BTC-USD (54.1%) in the period of the last 5 years, the volatility of 48.6% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • During the last 3 years, the 30 days standard deviation is 49.9%, which is greater, 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:
  • The downside volatility over 5 years of Crypto & Leveraged Top 2 Strategy is 35.3%, which is lower, thus better compared to the benchmark BTC-USD (36.7%) in the same period.
  • Looking at downside volatility in of 37.2% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to BTC-USD (30.6%).

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.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of Crypto & Leveraged Top 2 Strategy is 0.3, which is larger, thus better compared to the benchmark BTC-USD (0.16) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.83, which is greater, thus better than the value of 0.7 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk / excess return profile of 0.41 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 (0.24)
  • During the last 3 years, the ratio of annual return and downside deviation is 1.11, which is greater, thus better than the value of 1.09 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.'

Which means for our asset as example:
  • The Ulcer Index over 5 years of Crypto & Leveraged Top 2 Strategy is 35 , which is lower, thus better compared to the benchmark BTC-USD (41 ) in the same period.
  • Compared with BTC-USD (20 ) in the period of the last 3 years, the Downside risk index of 22 is larger, thus worse.

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:
  • Compared with the benchmark BTC-USD (-76.6 days) in the period of the last 5 years, the maximum drop from peak to valley of -64.7 days of Crypto & Leveraged Top 2 Strategy is higher, thus better.
  • Looking at maximum drop from peak to valley in of -57.6 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to BTC-USD (-51.2 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Using this definition on our asset we see for 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)
  • Looking at maximum days below previous high in of 181 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to BTC-USD (174 days).

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.'

Using this definition on our asset we see for example:
  • The average time in days below previous high water mark over 5 years of Crypto & Leveraged Top 2 Strategy is 264 days, which is larger, thus worse compared to the benchmark BTC-USD (168 days) in the same period.
  • Looking at average days below previous high in of 52 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to BTC-USD (53 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.