Turtle traders, part I

About the book

I’m about 1/3 of the way through “The Complete Turtle Trader” by Michael W Covel, and I’m enjoying myself.  His narratives about the people are entertaining, though that’s not why I bought the book.  It does give me color into how technical traders think, though.  It also is nice to hear that simpler is better.  I also like his scientific approach:

  1. Figure out what you are going to do while the market is closed.
  2. Follow the rules while the market is open.  Don’t put new ideas into practice in the heat of the moment.  Follow the rules you’ve made!
  3. Check to see how following the rules worked, and change the rules.
  4. Rinse, lather and repeat.
  5. Never trade based on emotion.
  6. Manage losses rigorously.

As I’m only 1/3 of the way through the book, I haven’t absorbed the money management rules, or the full details of the system.  That said, I thought it was worth testing S1 and S2, with nothing extra to see if either of them work on U.S.  Equities.  The way I see it, they could either work on:

  1. Nothing at all.  Obviously, I’m not rooting for this result, as it would make the rest of the book a lot less interesting.  Yes, there could still be something there, but if the foundation is no good, I become a lot more skeptical of the rest of it.
  2. Some, but not all, stocks.  This seems the most likely result.  If this is what I see, then the only task is to figure out how to predict when a stock will work with them.
  3. Every stock, all the time.  There is no way this could happen.  However, it might work to buy all stocks that happen to generate buy signals, and hold them until they are supposed to be sold.  If this technique works, we have additional confirmation that there’s something here.

Which Stocks to Test

Which stocks do we want to test these systems on?  We want a reasonable selection of stocks, that is still small enough that this article doesn’t become a book.  So, we pick five stocks, as follows (stocks chosen using Dec 7,2016 data):

  1. The largest market cap stock in Equities Lab:  AAPL.  You’ve never heard of this stock, right?
  2. The stock with the largest 30 day average volume:  BAC.  You probably have an account at Bank of America.
  3. The stock with the beta closest to 1: UMPQ.  I’ve never heard of Umpqua Holdings.  Have you?  it has a Market Cap of $3 billion now, but but it was pretty small back in the day.
  4. The stock with the closing price closest to $20:  ADRNY.  Koninklijke Ahold is a retail company that sells generic food under the name Food Lion, Stop and Shop, etc.  I chose it rather than others because it has price history going back to 1997.
  5. A stock that has tanked: YRCW.  To find this one, I asked for a stock with a closing price over $10 (I wanted something tradable), which was more than 99% down since 1997. 

The two systems

Turtle trading’s core (which is all we are going to cover in part I) is all about two systems, that they call S1 and S2.  S1 says that if the stock price is above its 20 day high, and hold it until it breaks below it’s 10 day low.  We’re glossing over details such as first new high versus any new high (though the book seems to indicate any new high will do, to prevent you from standing on the sidelines).  We’re also ignoring the rule that says we should ignore the trend if it made a profit last time.  Finally, we aren’t selling short.  Nevertheless, we need to see how these stocks did under our (simplified) S1.

Simple S1 to the test

Here’s the formula for Simple S1 as I implemented it. 

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Apparently many stocks are in an uptrend.  But we don’t care about that right now.  We’re just going to focus on our chosen stocks, and see what happened if put our very simple trend following system into practice.  NOTE:  the following charts are in the trading model part of the program.  This means that we get cool shading when we are in and out, that it’s easy to model trading every day, and most importantly, that we ignore dividends.  To me, this seems appropriate for a fast moving trend following strategy.  We can, if desired, do the same thing as part of a one stock backtest (you’ll see that at the end), and dividends will be included.  That said, we certainly are not taking taxes into account, and simulations are always imperfect.

AAPL

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This is interesting, but we clearly miss out on the sections of the trends because of all of our trading.  The Sharpe Ratio beats buy and hold of AAPL, for what it’s worth (0.18 vs 0.16).  One thing to notice is that we don’t go to cash when we exit AAPL; we go to SPY instead.  If we change that we get the following chart, which is much less impressive.  Holding cash is expensive!

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BAC

We now turn to Bank of America.

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While the results are on an absolute level are not as impressive, we see that trend following allowed us to make money on BAC, while the buy and hold eked out a small loss.  Just for grins, we check out the effect of switching to cash rather than SPY:

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That’s certainly a downer:  switching to cash doesn’t seem to work, as the cost is just too high.

UMPQ

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Let me summarize the results for UMPQ:  we did not win.  Using cash as a safe harbor actually clarifies the resuts, as we see that we manage to catch more down moves than up moves.

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The book talks about having many small losses, and a few big moves to more than make up for them all.  Here we see many small losses, but ver y few large moves.  These few large moves aren’t enough to compensate for the rest.

YRCW

This is going to be interesting, because we have to not get creamed by the stock.  As will be clear in the chart below, the main task is getting out with any money intact.  The stock loses more than 99.9%.  How do we do?

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We escaped with 75% of our portfolio.  Since we are using SPY as our alternate, this clearly meant we got a few of the down moves, but not all of them.  Let us see how much worse we did with cash as our alternate.

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We did much, much worse, as it turns out.  Losing 25% in a position is unlikely to damage the whole portfolio too badly.  A 63% loss will have more of an impact.

ADRNY

For our final charts, we bring you ADRNY.  We see that both ADRNY and the trading model both underperform.

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Changing the alternate to cash, we see it get even worse:

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Not good.  Not good at all.  We could give up here, but I’d like to understand why it isn’t working.  That would let us do better, and maybe learn something about the market in the process.

What is going on here?

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We use a results tilt chart to see what is going on timewise.  This chart is simpler than it looks.  We take each week, and plot it on the chart.  Where do we plot these weeks.  Imagine the chart has a grid that goes from 15% weekly performance to –15% for the strategy, going up and down.  The top is 15%, and the bottom is –15%.  Similarly, we have a horizontal line going from –30% ADRNY performance to 30% ADRNY performance.  If the strategy earns –15% and ADRNY earns 30% we’ll put that dot in the lower right corner.  That’s not too likely (unless this is a short strategy, which this isn’t). 

Most of the dots end up along a diagonal line.  They represent weeks where they were in ADRNY the whole time.  Also common are the weeks along the x axis, where we were in cash.  The stray dots not along those two lines represent the weeks that we bought or sold within.  The blue line maps out a cubic regression line – a line tries to curve fit the weeks to a trend with a limited amount of wiggle room.  We see that our trading underperformed, when ADRNY went up, and outperformed when ADRNY went down.  Worse, is that we see lots of dots in the lower right quadrant, where ADRNY went up and we went down.  The market head faked our trading model there.  We have very few dots in the upper left corner, where we head faked the market.  We tried the slower Simplified S2 and got pretty much the same results.

What have we learned?

I’ll start with what we didn’t learn.  We haven’t verified that Turtle Trading doesn’t work.  Clearly it did, for some people, and for some time periods (mostly during the ‘80s).  We haven’t proved that trend following doesn’t work, and we haven’t proved that you can’t make money by trading into and out of stocks frequently, using a fairly quick trend following system.  We haven’t proved any of that.  However there’s no need for despair.  We did learn some valuable lessons:

  1. Simplified S1 (using cash as an alternate) appears to be a bust.  Buy and hold does better then S1/Cash.  This matters because lots of people use something like Simplified S1/Cash to determine how they feel about a stock, or even the whole market.  They buy in after a run up, and bail at the first sign of trouble.
  2. Using cash as an alternate (a.k.a getting out of the market) is amazingly dangerous.  Until I see otherwise, I’m going to say that the rule should be “Don’t do it”.  If you feel like violating that rule, think really, really hard. 
  3. One should be skeptical of Turtle Trading systems/software.  You should ask how they improve on Simplified S1/Cash, and walk through the process fairly carefully.  You should also paper trade it for a while, just to see how it works.  My feeling on this are stronger since systematic short selling is so hard.  We ignored the injunction to sell short when not long, and that boosted our performance up to its current (relatively bad) levels.  Trend following can be tricky business.  It may have promise, but something more complicated than our simplified rules is needed. 
  4. Trend following is a perfect example of a bigger problem:  letting the market mind hack you. 
  5. Buying a book and blindly following its instructions imperfectly can be financial suicide.
About henry

Henry Crutcher is an avid family guy, board gamer (think Settlers of Catan, Puerto Rico, etc), computer nut, and all around geek. Hailing from Louisville, KY, he has noticed that the weather in Louisville is remarkably similar to the weather in Atlanta, GA despite the 407 miles that separate them. He has two daughters, one cat, and lots of trees. He loves the Miles Vorkosigan series from Lois McMaster Bujold, for its mix of SF, comedy and insight into how people work. He also comsumes more than his fair share of cheesy business/economics books, such as The Ascent of Money by Niall Ferguson, or Farewell to Alms, by Gregory Clark.

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