## Start Dates, Correlation and Random Strategy

In my last post I showed research on how optimization results can be mean reverting. Sometimes, my research keeps getting side tracked as I think of random ideas to look at. In this post, we look at the random walk my research took starting from my mean reverting optimization research. I will show how changing the start date can have a big change in the results, correlation of 1990’s to now, and random data and how it correlates.

## Optimization Mean Reversion

Often one runs a optimization of a testing idea, then using some set metrics from these results, one picks a variation to trade. What often comes as a surprise to people, and myself the first time I saw this, is that your optimization runs are often mean reverting. What do I mean by this?

## Mean Reversion and the Broken Rubber Band

A common way to describe a mean reversion trade is a rubber band that stretches away and then snaps back. Something that Steve, my trading buddy, and I discuss when a trade keeps going against us is that the rubber band has broken. I have never tested that concept. Meaning after N day sell-off, are we now more likely to continue to sell off than bounce? Doing research is not always about trying to develop a new strategy but sometimes it is testing a concept. The concept may lead to a new trading idea.

## ConnorsRSI Analysis

A couple posts ago, I did the RSI Analysis. This post will focus on ConnorsRSI which I created while working for Larry Connors. When  creating the indicator, the focus was on short-term mean-reversion results. We will look at that here but also how does it handle longer-term holds. Since I did not test this when I originally did the work, I was looking forward to seeing the results.

# ConnorsRSI

ConnorsRSI is an indicator made up of three components. The first being a 3 period RSI on the closes. The second being a 2 period RSI applied to the current up/down streak. The last being a rank of how big today’s move is. Then a simple weighted aveage is used to combine them. For more details on the calculation and how to use it see this link.

## Relative Strength Index (RSI) Analysis

Recently I have been researching longer term hold strategies. I wondered which indicators by themselves would show an edge 3 to 6 months out. I am not looking to create a strategy from the indicator alone but want to know is there a statistical edge with it. Naturally, I started with my favorite Relative Strength Index, RSI.

## Adding Stops and Scaling Out to a Mean Reversion Strategy

I came on an idea recently that I had tested. I have tested adding max loss stops to a mean reversion strategy, with no success. See this post for more on that. About eight years ago, I tested scaling out of trades. But this person claimed that adding the two together was how to improve a mean reversion strategy. Interesting idea I had not tested.

I have a one question poll below about what to do with my research. Take 15 seconds to fill it out.

## Double 7’s Strategy

In the book, Short Term Trading Strategies that Work, which Larry Connors and I published in early 2008, we wrote about a simple strategy called “Double 7’s Strategy.” Through the years people often ask about this strategy. Does something that simple really work? How does it do in a portfolio? Does the concept work on stocks? Today, we will be answering these questions.

November 11, 2015

## Hi-Lo Index as a Market Timing Indicator

My strategies use a market timing indicator to tell me when I should not be trading the strategy. The blog post, Avoiding Stock Market Crashes with the Hi-Lo Index of the S&P500, presented a very simple idea of using new highs vs new lows. The post tests trading the SPY & IEF but I wanted to know how well would it work on a S&P500 mean reversion strategy.

October 21, 2015

# My hate

The two charts above are from recent trades I have taken. Charts created in AmiBroker.

On July 20, 2015 IBB, iShares Nasdaq Biotechnology ETF, made a closing high of 398.  About three months later it closed at 289 for 27% loss. A very common thing I hear from traders is that they “don’t trade biotechnology or pharmaceutical stocks.” I completely understand. These stocks tend to be very volatile and news driven. But does removing these stocks really reduce your drawdowns? What happens to your Compounded Growth Rate? Time to see what the research shows us.