Luckily, I found an old creek that led me back to my entry point. A little weary but a little wiser and more appreciative of the systems I currently trade. What's really amazing is after 5+ years of developing systems and trading them...the very first one is the most successful. And the second one is the second most successful. And the third is the third...and so on...and so on.
This reminds me of a programming conundrum that I run across all the time. When tackling a problem of how to program a certain piece of logic...my very first solution to the problem is always the best. And I don't know why. Because the solution I come up with isn't an "Aha!" moment. It's basically a thought that you "could" do it this way...but I'm sure there's a better way. And notoriously, there isn't. It's always that first split-second solution that is the most adept at cutting straight to the heart of the problem and getting the job done. Crazy, ain't it? Especially, if you're a logical type of person who believes the more thought applied to a problem, the better the solution will be. Wanna know what's crazier?
There are programmers out there who do not have this type of split-second solution ability. Or...they do and don't honor it. Allowing themselves to stew on the problem too long. Thus, the corresponding logic and code is horrible. These "gifted" programmers have a name...The Innovators. And know what? Nobody wants to support or work on an Innovators code. Funny.
Anyways, back to the post. One of my original systems (2nd one) has always had impressive entry logic. But, I never focused on the exit piece just because the entry worked out so well. The exit to the system is a cut-and-paste job from my first system's exit logic. Your basic run-of-the-mill ATR trailing stop. Take a stock's current price and subtract it's ATR multiplier. For example:
XYZ stock closed at $30.00.
Average True Range (ATR) for 5 days: $4.00
ATR Multiplier: 3
ATR Trailing Stop := Close - (ATR * Multiplier) := $30.00 - ($4.00 * 3) := $18.00.
This ATR Trailing Stop would scale up...never down...as the price of the stock closed higher and higher or as the stock grows less volatile. And then, if the price were to close below the ATR trail...you'd exit your position.
Get the picture? Now on to my system. The problem I've noticed after trading this system for a number of years is that investments (stocks) would exhibit very small ATR's for the majority of time but every so often experience a huge expansion of range for just one day taking the price many points higher. As a result, I'd get kicked out early in the long-term move because volatility would sink back down, price would sink back down, while those price spikes scaled me up on the trailing stop to a level that didn't fit with the overall move in the stock. Cause as I said before...we always scale our stops up...not down.
What to do, what to do? The easy solution was to change our ATR Trailing Stop formula to use the Average price instead of the Closing price to determine our trail. The new formula would look like this:
XYZ stock closed at $30.00.
The average closing price of past 20 days: $27.00
Average True Range (ATR) for 5 days: $4.00
ATR Multiplier: 3
ATR Trailing Stop := AverageClose - (ATR * Multiplier) := $27.00 - ($4.00 * 3) := $15.00.
As you can see, we decreased our trail 17% from the original trail. This might not be the right thing to do in most trading systems. Since most systems are trying to capture range expansion in some shape or form. But, if you're one of the few long-term traders out there who try to capture long-term moves...expansion is not your friend. It will shake you out prematurely. Changing the calculations in your systems to moving averages instead of just one or two price points...may help keep you with the trend longer.
Note: Please check out the comments for further detail on the type of system being used in the ATR Trail example.
Later Trades,
MT