June 2, 2014

Four good reads from the past week

Articles I enjoyed from the past week.

Sophisticated versus Effective

In any field where complexity is part of the discipline (think: finance, technology, etc.) there is a temptation to appear more sophisticated than others. More specifically, the idea is to appear to know the information that other people do not know and to have a certain cleverness about your approach and how you look at problems.

 

Absolute Returns LOL

If your so-called “Absolute Returns” hedge fund crushed it over the last 18 months, I have two pieces of news for you: A) it’s not really an absolute returns vehicle after all and B) it’s going to crush you when the worm turns, regardless of what you’re counting on it to do.

 

Volume and Volatility: Why Many Traders Have Not Been Making Money Lately

Here’s an update of a 2009 post, showing how daily volatility in the S&P 500 Index varies as a function of daily volume.  Specifically, we’re looking at daily true range in percentile terms as a function of hundreds of millions of shares in SPY.  What we can see is that, as volume comes out of a market, movement also becomes less.

 

600 Days Without a 3% Daily Change

It’s been a long time now since the S&P 500 had a big change in a single day. You have to go back to November of 2011 to find the last day that the S&P 500 rose or fell by 3% in one day. Since 1950 there have been 200 trading days out of 16,202 in which the S&P changed by 3% or more, which implies that we get one 3% day for every 81 days.

 

Testing my next idea is taking longer than expected. Blog post next week on the test.

Stops and trading high vs low volatility stocks

In my last post, Should one trade high or low volatility stocks?, we placed stocks into three volatility buckets and compared their performance. Several readers pointed out that using a fixed percentage stop made it more likely for high volatility stocks to hit the stop thus not performing as well. Readers suggested using an Average True Range stop or a time stop. We will explore those two stops and see how the volatility buckets compare.

Individual Trade Quality

Before we get to the tests, I need to explain a new metric I will be using. At Connors Research we use Individual Trade Quality, ITQ, when we were comparing results of non-portfolio tests, such as these tests. The simple way to understand ITQ is it analogous to Sharpe Ratio in a portfolio test. To get more details on ITQ see How to Measure the Individual Trade Quality of Your Strategy.

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May 5, 2014

Should one trade high or low volatility stocks?

If one is trying to develop a multi-month hold stock strategy, is it better to focus on high or low volatility stocks? For a long time, I have wanted to add a longer term stock strategy to my basket of strategies that I trade. I do not expect this strategy to perform as well as my shorter term strategies but work as a complement to them

Low volatility or high volatility? Short term trading strategies tend to do best when they focus on high volatility stocks. Will this be true for a longer hold strategy?

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April 21, 2014

Backtesting is Hard

Why don’t I make more frequent posts? The easy answer is backtesting is hard.

A test has three parts to it. First, coming up with the idea. I have more ideas than I can test. I have a notebook full of ideas. The hard part here is picking one. Second, writing the code and running it. This takes me a couple of hours to a couple of days to do. Writing code is the fun and mostly easy part, though sometimes it can be insanely hard. Third, is verifying the result are correct. It is the last step that can takes days to weeks to do. Then writing the post takes a couple of days.

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April 17, 2014

Ulcer Index: An underutilized portfolio metric

About two years ago, I started using the Ulcer Index as another evaluation metric for portfolio backtests. I like how it captures both drawdown and drawdown length. It helps differentiate similar looking portfolios using the common metrics of Compounded Growth Rate, Share Ratio, and Maximum Drawdown. My plan was to write a blog post about it and then add it to the metrics I show on the blog. The blog Flirting With Models, found through the quant mashup Quantocracy, just made a great post on it which I highly suggest you go read: Looking into the Ulcer Index. They did a great job and saved me a post. I will show this metric on future portfolio tests.

March 31, 2014

How to beat the market by throwing darts

During some recent research I noticed that picking random stocks in the SP500 produced returns much better than I would expect. This observation was recently echoed by another researcher that I know. Could one make a market beating system by basically randomly pick stocks?

The research that led to this observation was on market timing. Can having a good market timing rule, a profit target and stop loss be enough to randomly pick stocks and beat the market. The answer may surprise you.

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DTAYS Weekly Breakout Strategy

After my interview on ‘Don’t Talk About Your Stocks,’ Andrew pointed me to a strategy he is trading called the DTAYS Quantitative Growth Fund. He was curious to see back tested results. Always looking for new ideas to write and tested, I jumped on it.

Unfortunately, the results will not be exactly as he trades it. Andrew uses the IBD50 as his trading universe. As is the bane to stock researchers, I do not have historical data on the IBD50. One could create some great models using that data. Instead, the test will be on the standard stock universe

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