Category Archives for "Stocks"

Low Volatility Stocks: 20%+ CAGR Portfolio

Continuing on from our previous posts and research, Should one trade high or low volatility stocks? , Stops and trading high vs low volatility stocks, and Low Volatility Stocks and Profit Targets, we are now testing how these results translate to a portfolio. I pick one variation from each of the tables from the Low Volatility Stocks and Profit Targets. From that one a variation we create a portfolio with a maximum of 10 stocks.

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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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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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How much does not having survivorship free data change test results?

Over the last month several people have asked me how important it is to have survivorship-free data. For any researcher this is an important question to understand how the different data can change your results. We will be exploring three potential data issues: as traded prices, delisted stocks (survivorship-bias), and historical index constituents (pre-inclusion bias).

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February 3, 2014

S&P500 Monthly Rotation-Readers’ Ideas

The ‘Intermediate Term Stock Rotation Strategy Using S&P500 Stocks post generated lots of reader suggestions on what to investigate further.


The ideas we will investigate are:

  • Monthly rotation (instead of quarterly)
  • Using an additional filter to make sure the stock is healthy. These include
    • Close above 200 day moving average
    • Close above 50 day moving average
    • 50 day moving average above 200 day moving average
    • Stock return over look back period is positive
    • In the last 10 days the stock has made a 1 month high
    • In the last 10 days the stock has made a 3 month high
    • Maximum loss stops

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January 13, 2014

Intermediate Term Stock Rotation Strategy Using S&P500 Stocks

One of my research goals for this year is to find an intermediate term rotation strategy using S&P500 stocks. Then right on cue, I read the following post Intermediate momentum! which points to  research Is momentum really momentum? by Robert Novy-Marx. In that he mentions that “intermediate horizon past performance, measured over the period from 12 to seven months prior, seems to better predict average returns than does recent past performance.” I have never tried an idea like this. In the blog comments, a user says he got great results using the current NDX100 stocks not the historical. This introduces pre-inclusion bias but maybe the results will still be good. What a great way to start the year with ideas I have never tested.

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