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Using ORATS in Anchor Testing

The purpose of the below piece is to demonstrate how Lorntine Capital uses ORATS (Options Research and Technology Services) in our own backtesting. Note: ORATS does not pay me for writing this but has requested that if we like the software, we assist in promoting it.

I love the software, and it has saved me literally months of keying in data, so I have no issue telling others about it. Hopefully, this will also provide some more insight into the Anchor Strategy and how it was developed.

In 2011 when Anchor was first being developed, testing the strategy was a Herculean task.  I did not have access to any files of old option data, backtesting software or any of the programs that are available today to assist in the process of backtesting.  When we had a proposed strategy, we had to painstakingly go through ThinkOrSwim’s “ThinkBack” feature that has day end option pricing.  An excel spreadsheet would be created, several years of data would be typed in by hand, and then the data would be tested.  If a result was not what we wanted, and, for example, we wanted to move the subject option from a 50 delta position to a 33 delta position, then it would take two more days of work just to key in the new option prices.  Every minor change to the test was an effort of days.


Then we were introduced to ORATS, which has made testing simpler, and helped create the current version of Leveraged Anchor that we are currently trading.  It also makes answering member questions about the adaptability of the Anchor strategy much simpler.


For instance, in the past few months, three different readers have asked “Can I use the Anchor Strategy or the Leveraged Anchor Strategy to trade gold through the GLD ETF?”  My initial thought was “Well, it should be possible,” but thoughts and feelings aren’t exactly evidence.  So, I dove into ORATS to actually test the theory. 


The first thing to do is to determine the cost of the long hedge, which can be done without ORATS by simply pulling up today’s options prices and looking – if the cost of the hedge is more than the average yearly gain in GLD, then there is no chance Anchor will work.  For example, if GLD’s average gain over the last two years was 5% per year, but the average cost of an annual hedge was 8%, then there would be no point in checking further as hedging would be cost prohibitive. 


On the day of writing this article, the GLD option we would use to hedge would be the September 30, 2020 option.  With GLD currently trading at 138.72, the five percent out of the money put is the 132 put, which is trading for $2.24, or less than two percent of the price of the underlying.  This makes it “seem” like GLD might be a good candidate for Anchor or Leveraged Anchor because it appears to have a cheap long-term hedge compared to the performance of GLD over the past two or three years.Passing the first quick test, we need to build out a model and see if the strategy works over a longer time frame.


The next thing to determine is if it is possible to pay for that hedge in a given year by selling short puts against the cost of the long hedge.  If selling short puts does not have a positive annual return on average, the strategy will not work.  This is where ORATS comes in handy.  We start with the software by going into “Wheel” and clicking on the orange button in the top right corner that says “Create New.”




This takes us to the following screen:




We enter the test parameters on this page.  For the initial test, we used the same parameters as for the Leveraged Anchor Strategy short puts:

  • Symbol:                       GLD
  • Strategy:                      Short Put
  • Days to Expiration:      Target:  24       Min: 21            Max:  30
  • Strike Selection:          Target .55        Min .49            Max .59
  • Exit Profit Loss %:       Min:  blank      Max 1.66
  • Exit DTE                      1 

Then click “submit.”  Processing can take several minutes, so be patient with the system.  When done, it spits out the results:




The good news is that there is a positive annual average return.  It’s even better that the positive return is in excess of the annual cost of the hedge. 


However, for our testing purposes, the real value comes in the monthly returns the software provides:



We can now use those monthly returns to start modeling a Leveraged Anchor Strategy in excel.  I simply cut and paste the data into my spreadsheet, where I can then manipulate it.


Our next step is to find out the returns of the deep in the money long calls (the leveraged portion of Levered Anchor).  Here, we simply go back to “Create New” in Orats and change our strategy inputs to:

  • Symbol:                        GLD
  • Strategy:                      LongCall
  • Days to Expiration:       Target 366       Min 365           Max 430
  • Strike Selection            Target  .95       Min 0.94          Max 1


Remember, we use a minimum of 365 to ensure long term capital gains treatment on the long holdings.  Since we’ll always be holding this to expiration, the rest of the fields are left blank


            Click “Submit”


And we get the following results:




However, this doesn’t look right.  It says we’re only in the market 85.39% of the days, and we should be in the market close to 100% of the time.  This most likely means our “days to expiration” field wasn’t big enough and there might not have been an option available.  So we re-run the test, changing the max days from 430 to 460.  After doing this, similar results come out and we still are not in the market enough.  At this point, I go to the individual month returns to determine what is wrong.  After digging into the data that was returned, we realize that the software doesn’t support GLD options prior to October 2009, so we had a long period of just being in “cash.”


This issue  can be fixed by editing our test in the “Date Range” category and changing the start date to 2009-10-01, which gives us:




These results are not near as good, showing an annual return of just under two percent.


In fact, this seems quite low, so we need to do a data check.  Since this is a deep in the money call position, returns should be near what stock performance has been over the same period.  GLD’s performance is easily found on yahoo finance or any other stock data site.  Since November 2009, the current prices of GLD has increased from 115 to 138 or 20% (2% per year).  We’re trading a 95 delta position, so we would expect our returns to be 1.9% per year and got 1.82%.  In other words, these returns are likely correct (and I note that gold has not performed well over the last decade, at all). 


We then copy the same monthly data into our excel spreadsheet. 


For our last piece, we need to run the returns for the long puts (the hedge):

  • Symbol:                       GLD
  • Strategy:                      Long Put
  • Days to Expiration:      Target 365       Min 320           Max 430
  • Strike Selection (stockOTMPercentage)           Target .95   Min:  .93  Max .98
  • Date Range:                2009-10-01      to         Current
  • Exit DTE                      21
  • Exit Profit Loss %        Min  .33


The last category (Exit Profit Loss %) is the only one I don’t like.  Since we roll the long hedge when the underlying has gone up around 7.5%, it’s really difficult to determine what the loss on the long put would be at that point, as its variable depending on how many days are left in the long hedge, current market volatility, and other factors.  For instance, if the market in GLD moves up 8% in the first week after opening the position, the long put may only lose 50% of its value.  We would typically roll the position then, but the software would not.  Whereas if the market goes up 10% in a week with a month to expiration, it may lose 90% of its value, but the hedge would have rolled a bit too early in the software.  However, we are not using the software to do a to the penny backtest at this point, rather testing the theory.


So the 33% is really more a “guess” for purposes of this initial test.  If it passes, when conducting a “full” Anchor Test, I leave the Exit Profit Loss category blank, go back through manually from the long call data and flag exactly when the rolls will occur.  This is a slight increase in labor but not much.  (Though if ORATS were to build in a feature that had entries/exits based on moves of the underlying, that would be a great feature addon). 


And with all of the above information, we now have the return information for the short puts, the long calls, and the long puts, and can manipulate it as necessary to determine an “optimum” level of leveraged, hedging, and whatever else would like to include in implementing Anchor on GLD.


Once that process is done, you can see how the strategy performs, which unfortunately, is “not that well.”  Changing leveraged ratios around really doesn’t help much.  Digging into the data demonstrates why – when there’s a big downturn in the price of GLD, the hedge does not move accordingly unless expiration is near.  For instance, in September 2011, when the price dropped around 15%, the long puts only went up about 3.5%.  (Differences in long term vs short term volatility). 


Anchor always performs the worst on instruments that remain “mostly flat.”  Over the last decade, GLD has moved less than two percent per year on average.  There are periods where Anchor would have worked quite well on GLD, for instance 2009-2012 and even into 2013.  However, since mid-2013, the price of GLD has remained in a tight range, which isn’t good for Anchor.  As this is not a historically unusual trading patter for GLD, it basically rules out using the Anchor strategy on it.


Logically this makes sense, as historically gold has been a good inflation hedge.  With annual inflation over the last 5 years or so being under control, one would not expect the price of GLD to move much – and it hasn’t.  ORATS simply helped verify these conclusions. 


 Christopher Welsh is a licensed investment advisor and president of LorintineCapital, LP. He provides investment advice to clients all over the United States and around the world. Christopher has been in financial services since 2008 and is a CERTIFIED FINANCIAL PLANNER™. Working with a CFP® professional represents the highest standard of financial planning advice. Christopher has a J.D. from the SMU Dedman School of Law, a Bachelor of Science in Computer Science, and a Bachelor of Science in Economics. Christopher is a regular contributor to the Steady Options Anchor Trades and Lorintine CapitalBlog.

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