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:
  • Looking at the total return of 164.6% 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 (31.8%)
  • During the last 3 years, the total return is 230.8%, which is greater, thus better than the value of 198.8% 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:
  • Compared with the benchmark BTC-USD (5.7%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 21.6% of Crypto & Leveraged Top 2 Strategy is larger, thus better.
  • Looking at annual performance (CAGR) in of 49.4% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to BTC-USD (44.4%).

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 (56.7%) in the period of the last 5 years, the 30 days standard deviation of 50.9% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • During the last 3 years, the historical 30 days volatility is 50.5%, which is higher, thus worse than the value of 48.4% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (39.1%) in the period of the last 5 years, the downside risk of 36.8% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • Looking at downside volatility in of 37.5% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to BTC-USD (30.8%).

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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (0.06) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.38 of Crypto & Leveraged Top 2 Strategy is larger, thus better.
  • Looking at risk / return profile (Sharpe) in of 0.93 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to BTC-USD (0.87).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (0.08) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.52 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Looking at excess return divided by the downside deviation in of 1.25 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to BTC-USD (1.36).

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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Ratio of 33 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 (41 )
  • During the last 3 years, the Downside risk index is 15 , which is higher, thus worse than the value of 15 from the benchmark.

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:
  • Looking at the maximum reduction from previous high of -64.7 days 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 (-76.6 days)
  • Looking at maximum reduction from previous high in of -56.8 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to BTC-USD (-49.7 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'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (580 days) in the period of the last 5 years, the maximum days below previous high of 773 days of Crypto & Leveraged Top 2 Strategy is larger, thus worse.
  • During the last 3 years, the maximum days under water is 181 days, which is greater, thus worse than the value of 164 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 time in days below previous high water mark of 264 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 (166 days)
  • During the last 3 years, the average days below previous high is 55 days, which is greater, thus worse than the value of 42 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.