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:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:
  • The total return over 5 years of Crypto & Leveraged Top 2 Strategy is 1238.3%, which is greater, thus better compared to the benchmark BTC-USD (1070.5%) in the same period.
  • During the last 3 years, the total return, or increase in value is 83.3%, which is lower, thus worse than the value of 400.5% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 68.3% 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 (63.9%)
  • Compared with BTC-USD (71.7%) in the period of the last 3 years, the annual performance (CAGR) of 22.6% is lower, thus worse.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Using this definition on our asset we see for example:
  • Looking at the historical 30 days volatility of 52.9% 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 (60.6%)
  • Compared with BTC-USD (51.2%) in the period of the last 3 years, the historical 30 days volatility of 42.3% is lower, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (39.6%) in the period of the last 5 years, the downside volatility of 33.9% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • Compared with BTC-USD (31.7%) in the period of the last 3 years, the downside deviation of 28.1% is smaller, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (1.01) in the period of the last 5 years, the Sharpe Ratio of 1.24 of Crypto & Leveraged Top 2 Strategy is higher, thus better.
  • During the last 3 years, the Sharpe Ratio is 0.47, which is smaller, thus worse than the value of 1.35 from the benchmark.

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Applying this definition to our asset in some examples:
  • The ratio of annual return and downside deviation over 5 years of Crypto & Leveraged Top 2 Strategy is 1.94, which is greater, thus better compared to the benchmark BTC-USD (1.55) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.71, which is smaller, thus worse than the value of 2.18 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of Crypto & Leveraged Top 2 Strategy is 32 , which is lower, thus better compared to the benchmark BTC-USD (40 ) in the same period.
  • During the last 3 years, the Ulcer Ratio is 19 , which is greater, thus worse than the value of 13 from the benchmark.

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:
  • 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 larger, thus better.
  • During the last 3 years, the maximum DrawDown is -42 days, which is lower, thus worse than the value of -35.3 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:
  • The maximum days below previous high over 5 years of Crypto & Leveraged Top 2 Strategy is 773 days, which is larger, thus worse compared to the benchmark BTC-USD (580 days) in the same period.
  • Looking at maximum days below previous high in of 319 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to BTC-USD (164 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:
  • Looking at the average days below previous high of 265 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)
  • During the last 3 years, the average time in days below previous high water mark is 108 days, which is greater, thus worse than the value of 45 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.