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.'

Applying this definition to our asset in some examples:
  • The total return, or increase in value over 5 years of Crypto & Leveraged Top 2 Strategy is 741.5%, which is higher, thus better compared to the benchmark BTC-USD (171.2%) in the same period.
  • Looking at total return, or performance in of 600.4% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to BTC-USD (290.3%).

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 53.3%, which is greater, thus better compared to the benchmark BTC-USD (22.2%) in the same period.
  • Looking at annual performance (CAGR) in of 91.8% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to BTC-USD (57.7%).

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 30 days standard deviation of 47.9% 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 (57.6%)
  • Compared with BTC-USD (48.3%) in the period of the last 3 years, the 30 days standard deviation of 44% is lower, thus better.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:
  • The downside risk over 5 years of Crypto & Leveraged Top 2 Strategy is 31.2%, which is lower, thus better compared to the benchmark BTC-USD (38.7%) in the same period.
  • Looking at downside risk in of 26.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to BTC-USD (29.5%).

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.'

Using this definition on our asset we see for example:
  • The ratio of return and volatility (Sharpe) over 5 years of Crypto & Leveraged Top 2 Strategy is 1.06, which is higher, thus better compared to the benchmark BTC-USD (0.34) in the same period.
  • During the last 3 years, the risk / return profile (Sharpe) is 2.03, which is higher, thus better than the value of 1.14 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark BTC-USD (0.51) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.63 of Crypto & Leveraged Top 2 Strategy is greater, thus better.
  • Looking at downside risk / excess return profile in of 3.34 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to BTC-USD (1.87).

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:
  • Compared with the benchmark BTC-USD (40 ) in the period of the last 5 years, the Ulcer Index of 32 of Crypto & Leveraged Top 2 Strategy is lower, thus better.
  • Looking at Ulcer Index in of 11 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to BTC-USD (12 ).

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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (-76.6 days) in the period of the last 5 years, the maximum DrawDown of -64.7 days of Crypto & Leveraged Top 2 Strategy is larger, thus better.
  • Looking at maximum drop from peak to valley in of -27.2 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to BTC-USD (-31.8 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.'

Using this definition on our asset we see for 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 greater, thus worse compared to the benchmark BTC-USD (580 days) in the same period.
  • Compared with BTC-USD (164 days) in the period of the last 3 years, the maximum days under water of 181 days is greater, thus worse.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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.'

Which means for our asset as example:
  • Compared with the benchmark BTC-USD (165 days) in the period of the last 5 years, the average days below previous high of 266 days of Crypto & Leveraged Top 2 Strategy is higher, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 55 days, which is larger, thus worse than the value of 38 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.