Why Use Multiple Exits?
A recent message from one of our members questioned our use of multiple exits
and the fact that the exits in a particular system were very complex and would
sometimes move closer to the prices and then suddenly move farther away. The
member questioned whether the exits were working properly and wondered about the
logic of having so many different exit strategies operating within one system. I
sent the member a brief reply and promised to write a Bulletin that explained
our philosophy and procedures about the use of multiple exits in more detail.
When we develop trading systems the entry is usually just a few lines of code
but the exit strategies and coding are often very complex. We may have a system
with only one very simple entry method and that system may have a dozen or more
exit strategies. The reason for devoting so much effort and attention to
achieving accurate exits is that over our many years of trading we have come to
appreciate both the importance and the difficulty of accurate exits.
Entries are easy. Before we enter any trade we know exactly what has occurred up
to that point and if those conditions and events are satisfactory according to
the rules of our system we can generate a valid entry signal. Entries are easy
because we are able to set all the conditions and the market must conform to our
rules or nothing happens. However, once we have entered a trade anything can
happen. Now that we are in the market the possible scenarios for what might
happen to our open position are endless. It would be extremely naïve to expect
to hope to efficiently deal with all possible trading events with only one or
two simple exit strategies. However, that seems to be the common practice and,
in fact, many popular trading systems simply reverse the entry rules to generate
their exits.
We believe that good exits require a great deal of planning and foresight and
that simple exits will not be nearly as efficient as a series of well planned
exits that allow for a multitude of possibilities. Our exit strategies need to
accomplish a series of critical tasks. We want to protect our capital against
any catastrophic losses so we need a dependable money management exit that
limits the size of our loss without getting whipsawed. Then if the trade is
working in our favor we would like to move the exit closer so that the risk to
our capital is reduced or eliminated. As soon as possible we need to have a
"breakeven" exit in place that prevents our profitable trade from turning into a
loss.
In most of our systems, our goal is to maximize the size of our profit on each
trade so we do not simply take a small profit once we see it. This goal means
that we need to implement an exit strategy that protects a portion of our small
profit while allowing the trade to have the opportunity to become a much bigger
profit. If the trade went in our favor every day the exits could be greatly
simplified but unfortunately that is not the way markets typically trade. We
have to allow room for some minor fluctuations on a day to day basis. In order
to facilitate our objective of maximizing the profit of each trade, in some
cases we may decide to move our exit point farther away to avoid getting stopped
out prematurely. For example, lets look at our Yo Yo exit that is based on the
theory that we never want to stay in a position after a severe one-day move
against us. (See Bulletin number 14 for an explanation of the Yo Yo exit.)
This highly efficient exit is based on measuring the amount of price movement
from the previous day's close. For example we may want to exit immediately if
the adverse price movement reaches one and a half Average True Ranges from the
previous close. This volatility-based exit will move away indefinitely as the
result of a series of adverse closing prices caused by days where the price
moved against us but our volatility trigger was never quite reached. Obviously
an exit that can move away from prices indefinitely is no use at all in limiting
the size of our losses so the Yo Yo exit must always be used in conjunction with
other exit strategies that do not move away. Now that we have implemented the Yo
Yo exit to protect our trade from a severe one-day reversal in direction, we
have still not addressed the question of taking profits. So far, we have exits
in place to protect from large losses, to lock in a break-even point and to get
us out on a sudden trend reversal but we still have not addressed the important
issue of taking some profits on the trade.
We like to shoot for big profits and the bigger the profits become the closer we
like to protect them. This strategy calls for multiple profit-taking exits. If
we have a $1,000 profit we might want to protect 50% of it and be willing to
give back $500 of our open profit. We can place an exit at $500 above our entry
price. This will allow us to hold the position in the hope that the profit will
grow. However if we have a $10,000 open profit I'm sure we wouldn't want to give
back 50% of that. Also, let's hope that our exit stop is not still sitting back
there at $500 above our entry price. For best results our exits need to adjust
at various levels of profitability.
Many traders have asked us about the robustness of a system that has a many exit
rules. The general perception is that a system with fewer rules is likely to be
more robust. However I would disagree with applying that common belief without
careful thought. Look at the exits in these two over-simplified systems:
System A:
Use a $1500 money management stop. (Limits loss to $1500.)
When profit reaches $5,000, exit with a stop at entry plus $4500.
System B:
Use a $1500 money management stop. (Limits loss to $1500.00)
When profit reaches $1,000, exit with a stop at entry price.
When profit reaches $2,000, exit with a stop at entry plus $1,250.
When profit reaches $3,500, exit with a stop at entry plus $2,500.
When profit reaches $5,000, exit with a stop at entry plus $4500.
When profit is greater than $7,500 exit with a stop at the previous day's low.
Some system traders might argue that since system A has fewer rules it should be
more robust (most likely to work in the future.) We would suggest that system B
is much more likely to work in the future even though it has more rules. System
A is not going to make any money at all if the open profit never reaches $5,000.
Once the profit exceeds $5,000 the only exit is at the $4,500 level. System A is
very limited in what it is prepared for. It either makes $4,500 or it loses
$1500.
As you can see, system B is obviously prepared for many more possibilities. It
is conceivable (but not likely) that system A may somehow produce better test
results on a historical basis because of an accidental (or intentional) curve
fit. However, we would much rather trade our real money with system B. Simpler
is not always better when it comes to exit planning.