The Pseudoscience of Trading System Development (Part 1)
Posted by Mark on June 9, 2016 at 07:11 | Last modified: May 4, 2016 08:14I subscribe to a couple financial magazines that provide good inspiration for blog posts. Today I discuss Perry Kaufman’s article “Rules for Bottom Fishers” in the April issue of Modern Trader.
In this article, Kaufman presents a relatively well-defined trading strategy. Go long when:
1. Closing price < 100-period simple moving average>
2. Annualized volatility (over last 20 days) > X% (varies by market)>
3. 14-period stochastic < 15>
Sell to close when:
1. Annualized volatility < 5%>
2. Stochastic (14) > 60>
Kaufman provides performance data for 10 different markets. All 10 were profitable on a $100,000 investment from 1998 (or inception). Based on this, he claims “broad profits.” Kaufman concludes with one paragraph about the pros/cons to optimizing, which he did not do. He claims this strategy to be robust as one universal set of parameters.
In the interest of full disclosure, let me recap my history with Perry Kaufman. I have a lot of respect for Kaufman because he has been around the financial world for decades. One of the first books I read when getting serious about trading was his New Trading Systems and Methods (2005). As a bright-eyed and bushy-tailed newbie, I even e-mailed him a few questions in thinking this was truly the path to riches.
Being a bit more educated now, I see things differently.
For starters, here is some critique about what jumps off the page at me after a second read. First, four of the 10 markets are stock indices (QQQ, SPY, IWM, DIA) that I would expect extremely to be highly correlated. “Broad profits” is therefore more narrow. Second, although the trading statistics all appear decent, the sample sizes are very low. Three ETFs have fewer than 10 trades and only two have more than 50 (max 64). Finally, Kaufman provides no drawdown data. Max drawdown may define position sizing and provides good context for risk. I feel this is very important information to provide.
When I first read the article, my critique focused on a different set of ideas. I will discuss that next time.