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.'

Using this definition on our asset we see for example:
  • Looking at the total return, or increase in value of 1189.9% 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 (1031.7%)
  • During the last 3 years, the total return, or performance is 45.7%, which is lower, thus worse than the value of 276.6% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (62.7%) in the period of the last 5 years, the annual performance (CAGR) of 67% of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • During the last 3 years, the annual return (CAGR) is 13.5%, which is smaller, thus worse than the value of 56% from the benchmark.

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:
  • Compared with the benchmark BTC-USD (60.7%) in the period of the last 5 years, the volatility of 53.1% of Crypto & Leveraged Top 2 Strategy is smaller, thus better.
  • During the last 3 years, the 30 days standard deviation is 42.2%, which is lower, thus better than the value of 54% 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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk of 34.1% 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 (39.7%)
  • Compared with BTC-USD (35.1%) in the period of the last 3 years, the downside risk of 28.2% 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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (0.99) in the period of the last 5 years, the Sharpe Ratio of 1.22 of Crypto & Leveraged Top 2 Strategy is higher, thus better.
  • Looking at Sharpe Ratio in of 0.26 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to BTC-USD (0.99).

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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (1.52) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.89 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Compared with BTC-USD (1.53) in the period of the last 3 years, the downside risk / excess return profile of 0.39 is lower, thus worse.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Which means for our asset as example:
  • The Ulcer Ratio 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 (21 ) in the period of the last 3 years, the Downside risk index of 23 is greater, 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.'

Using this definition on our asset we see for example:
  • The maximum reduction from previous high over 5 years of Crypto & Leveraged Top 2 Strategy is -64.7 days, which is larger, thus better compared to the benchmark BTC-USD (-76.6 days) in the same period.
  • During the last 3 years, the maximum DrawDown is -48.1 days, which is larger, thus better than the value of -50.3 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 time in days below previous high water mark 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.
  • Compared with BTC-USD (350 days) in the period of the last 3 years, the maximum days below previous high of 380 days is larger, thus worse.

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 (167 days) in the period of the last 5 years, the average time in days below previous high water mark of 262 days of Crypto & Leveraged Top 2 Strategy is larger, thus worse.
  • During the last 3 years, the average days under water is 131 days, which is greater, thus worse than the value of 112 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.