As of today (Nov 19, 2022), we are 374 days since all-time high for BTC with a drawdown of -75.91% (or max drawdown - peak-to-trough of ~-77.44%). By comparison. 2017/2018 bear market saw BTC drawdown as much as ~-84% for a period of 363 days, note that, we are in a very different macro environment, so take the comparison with a pinch of salt.

I was also curious to see a summary of drawdowns for various different altcoins/tokens traded on Binance and their corresponding number of days since their all-time highs. Note that, for some coins, Binance may have listed them more recently, hence, the drawdown calculations may not reflect the full picture (code below).

Unless you have an ultrawide monitor, feel free to right click on the image below and save it to view it:

Download table below as CSV

Here’s the Jupyter notebook export:

Let's be frank, macros a mess right now. I find myself unwilling to bet money to the upside nor the downside. I am, however, comfortable averaging in for the long term but deploying full 100% to the long side is just downright scary right now. Therein lies the problem - having sidelined capital just feels inefficient.

In an attempt to deploy more capital to work, over the past few days, I did further analysis on going long ETH while eliminating market exposure by shorting an equivalent dollar amount of BTC - pair trade. My initial approach was a naive one - perpetually going long on ETH and short on BTC with a stop loss at 1% and reopening positions the next day (12am UTC). The findings were suboptimal.

Hence, I did some statistical analysis and found that the median consecutive days ETH outperforms BTC to be 1 and the mean to be around 1.8. Here's a boxplot for consecutive positive days for ETHBTC (aka filtered only positive ETHBTC days). you can find the full analysis below.

With these findings, I decided to model the returns if I alternate between ETH long; BTC short and BTC long; ETH short after 1 and 2 consecutive winning trades.

My findings were still discouraging. Here's the summary of my finding for 2 consecutive days from 1 Jan 2020 - 1 Oct 2022:

      Pair Trade
      Start: 10000; End: 9897.704385000005
      Returns: -102.29561499999545 (-1.0229561499999544%)
      Max Drawdown: -35.7283426716878%
      Max Cash: 13835.748823000013
      Min Cash: 7058.029973000009

      Hodl
      Start: 10000; End: 100981.01758207595
      Returns: 90981.01758207595 (909.8101758207595%)
      Max Drawdown: -79.61402340009151%
      Max Cash: 373689.12400809064
      Min Cash: 8358.487630309635
  

As we can see, even after close to ~10 months (dec 2021 - oct 2022) of declining prices, had you bought ETH (in Jan 2020) prior to the March 2020 crash, you are still better off just hodling than pair trading.

This finding does not discount pair trading as a viable strategy. It just means (i) the parameters to the strategy does not work and (ii) a more discretionary approach (when to long what and when to short what) might work better (but discretion == opinion). If you have ideas on how to tweak the parameters to this experiment, ping me @joshZteng

Anyhow, here's the backtest output from Jupyter notebooks:

And, here's the statistical analysis of ETHBTC:

One of my latest algorithms revolves around pair trading with the goal of removing market exposure and make long term positive returns regardless of market sentiment. Here's a live tracker of my balance in real-time:

The data seen in this graph is streamed through a websocket relay server. If you're also in this space, let's connect @joshZteng

p.s. I did further analysis. This (strategy and parameters) will not be a profitable venture. See this.