TuringTrader's Pick Me Up
- volatility-targeting strategy
- leveraged w/ up to 130% exposure
- invests in ETFs tracking stocks and treasury bonds
- rebalances daily
This portfolio is outdated and requires improvements to better cope with environments of rising bond yields. In the meantime, we suggest using Round Robin as a replacement.
Pick Me Up is a proprietary premium strategy by TuringTrader.com, introduced in February 2020.
Pick Me Up aims to beat the S&P 500 while at the same time offering lower volatility. To achieve this goal, Pick Me Up combines volatility-targeting with moderate leverage. The strategy invests in an S&P 500 Index ETF, as well as in a 3x leveraged ETF tracking the same index, reaching up to 130% total exposure to the stock market. Volatility-targeting is used to manage portfolio volatility and tame volatility-decay of the leveraged ETF. As a risk-off asset, Pick Me Up uses U.S. treasury bonds.
Pick Me Up has moderate maintenance requirements. While the strategy calls for daily rebalancing, its short menu of ETFs makes this task straightforward.
The operation of Pick Me Up can be summarized as follows:
- scale exposure to the S&P 500 inversely to historical volatility
- reduce this exposure if
- VIX term structure enters backwardation
- 12-months rolling maximum drawdowns exceed unhealthy levels
- the leveraged ETF fails to properly track its underlying
- the economy enters a recession, as detected through the unemployment rate
- invest the remaining capital in U.S. treasury bonds
Pick Me Up reflects the idea that in the long term there is no better growth opportunity than the U.S. stock market. The biggest risk to this approach stems from periods of high volatility, or economic downturns. We encourage investors keen on learning more about the rationale behind the strategy to read our articles regarding volatility targeting and leveraged ETFs.
The strategy is well diversified in terms of individual titles, as it only invests in broad indices. However, in bullish periods of low volatility, the strategy may have up to 130% exposure to the stock market, leading to amplified tail risk in case of rapidly spiking volatility.
Returns & Volatility
Pick Me Up beats the S&P 500 in most years, and yet has shown docile behavior throughout the last economic cycle. The portfolio managed the 2008 recession quite well, even though partially missing out on the 2009 rebound. The strategy’s average drawdowns and maximum drawdowns are significantly lower than buy & hold, and recovery from drawdowns is much faster.
The Monte-Carlo simulation confirms these observations. Even though we have high confidence in Pick Me Up’s maximum drawdown to be lower than that of the index, it might, however, not be as low as the backtest suggests. More reasonably, investors should anticipate a maximum drawdown of around 35%.
Account & Tax Considerations
When the strategy scales its stock market exposure, it triggers taxable events. However, Pick Me Up holds at least 60% of its positions for several years. Therefore, Pick Me Up is a great candidate for taxable accounts, with a tax burden similar to that of a passive 60/40 portfolio.
Pick Me Up makes use of a 3x leveraged index ETF, which is considered a high-risk instrument. Most brokerages require signing additional disclosures before allowing investors to use these instruments in their accounts.
Pick Me Up invests in no more than two ETFs at a time. Therefore, it should function as intended with as little as $3,000 of capital.
- v1, February 2020: Initial release.
This table shows the portfolio's key performance metrics over the course of the simulation:
The following chart shows the portfolio's historical performance and drawdowns, compared to their benchmark, throughout the simulation:
Download as CSV
This chart shows the portfolio's annual returns:
The following charts show the Monte-Carlo simulation of returns and drawdowns, the portfolios 12-months rolling returns, and how the portfolio is tracking to its benchmark:
The portfolio last required rebalancing after the exchanges closed on . Due to fluctuations in asset prices, the exact allocations vary daily, even when no rebalancing occurred. The current asset allocation is as follows: