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, or performance of 59.3% 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 (24.1%)
  • Compared with BTC-USD (122.7%) in the period of the last 3 years, the total return, or increase in value of 151.9% is greater, thus better.

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 compounded annual growth rate (CAGR) of 9.8% 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 (4.4%)
  • Looking at annual return (CAGR) in of 36.3% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to BTC-USD (30.8%).

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:
  • Compared with the benchmark BTC-USD (51.5%) in the period of the last 5 years, the historical 30 days volatility of 47.3% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • Compared with BTC-USD (47.5%) in the period of the last 3 years, the volatility of 50.8% is larger, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The downside deviation over 5 years of Crypto & Leveraged Top 2 Strategy is 34.4%, which is smaller, thus better compared to the benchmark BTC-USD (35%) in the same period.
  • Looking at downside volatility in of 37.8% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to BTC-USD (30.6%).

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 0.15 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 (0.04)
  • Looking at risk / return profile (Sharpe) in of 0.67 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to BTC-USD (0.59).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (0.05) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.21 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Looking at excess return divided by the downside deviation in of 0.89 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to BTC-USD (0.92).

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.'

Applying this definition to our asset in some examples:
  • The Ulcer Index over 5 years of Crypto & Leveraged Top 2 Strategy is 37 , which is smaller, thus better compared to the benchmark BTC-USD (42 ) in the same period.
  • Looking at Downside risk index in of 29 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to BTC-USD (24 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high 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.
  • Compared with BTC-USD (-53.1 days) in the period of the last 3 years, the maximum reduction from previous high of -58.2 days is smaller, thus worse.

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 time in days below previous high water mark 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 days under water is 191 days, which is lower, thus better than the value of 269 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.'

Using this definition on our asset we see for example:
  • Looking at the average days under water of 271 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 (182 days)
  • Looking at average days below previous high in of 67 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to BTC-USD (79 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.