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:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:
  • The total return over 5 years of Crypto & Leveraged Top 2 Strategy is 92.9%, which is greater, thus better compared to the benchmark BTC-USD (59.3%) in the same period.
  • Compared with BTC-USD (208.8%) in the period of the last 3 years, the total return, or increase in value of 230.6% is larger, thus better.

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:
  • The compounded annual growth rate (CAGR) over 5 years of Crypto & Leveraged Top 2 Strategy is 14.1%, which is higher, thus better compared to the benchmark BTC-USD (9.8%) in the same period.
  • Compared with BTC-USD (45.8%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 49.1% is greater, thus better.

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.'

Which means for our asset as example:
  • Looking at the historical 30 days volatility of 48.4% 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 (52.6%)
  • Compared with BTC-USD (47.7%) in the period of the last 3 years, the historical 30 days volatility of 50.4% is greater, thus worse.

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:
  • Compared with the benchmark BTC-USD (35.6%) in the period of the last 5 years, the downside volatility of 35.2% of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • Looking at downside risk in of 37.2% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to BTC-USD (30.3%).

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:
  • Looking at the ratio of return and volatility (Sharpe) of 0.24 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 (0.14)
  • Compared with BTC-USD (0.91) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.93 is larger, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the excess return divided by the downside deviation of 0.33 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 (0.2)
  • During the last 3 years, the excess return divided by the downside deviation is 1.25, which is smaller, thus worse than the value of 1.43 from the benchmark.

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 Downside risk index over 5 years of Crypto & Leveraged Top 2 Strategy is 36 , which is smaller, thus better compared to the benchmark BTC-USD (42 ) in the same period.
  • Compared with BTC-USD (23 ) in the period of the last 3 years, the Ulcer Ratio of 26 is higher, thus worse.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • Looking at the maximum drop from peak to valley of -64.7 days 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 (-76.6 days)
  • Looking at maximum drop from peak to valley in of -58.2 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to BTC-USD (-53.1 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) in days.'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Crypto & Leveraged Top 2 Strategy is 773 days, which is higher, thus worse compared to the benchmark BTC-USD (580 days) in the same period.
  • Compared with BTC-USD (230 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 181 days is lower, thus better.

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:
  • Looking at the average days under water of 266 days in the last 5 years of Crypto & Leveraged Top 2 Strategy, we see it is relatively larger, thus worse in comparison to the benchmark BTC-USD (176 days)
  • During the last 3 years, the average days under water is 59 days, which is smaller, thus better than the value of 66 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.