Should I buy today? What will prices be tomorrow,
next week, or next year? Wouldn't investing be easy if we knew the
answers to these seemingly simple questions? Alas, if you are reading
this book in the hope that technical analysis has the answers to these
questions, I'm afraid I have to disappoint you early--it doesn't.
However, if you are reading this book with the hope that technical
analysis will improve your investing, I have good news--it will!
Some history
The term "technical analysis" is a complicated
sounding name for a very basic approach to investing. Simply put,
technical analysis is the study of prices, with charts being the primary
tool.
The roots of modern-day technical analysis stem from
the Dow Theory, developed around 1900 by Charles Dow. Stemming either
directly or indirectly from the Dow Theory, these roots include such
principles as the trending nature of prices, prices discounting all
known information, confirmation and divergence, volume mirroring changes
in price, and support/resistance. And of course, the widely followed Dow
Jones Industrial Average is a direct offspring of the Dow Theory.
Charles Dow's contribution to modern-day technical
analysis cannot be understated. His focus on the basics of security
price movement gave rise to a completely new method of analyzing the
markets.
The human element
The price of a security represents a consensus. It
is the price at which one person agrees to buy and another agrees to
sell. The price at which an investor is willing to buy or sell depends
primarily on his expectations. If he expects the security's price to
rise, he will buy it; if the investor expects the price to fall, he will
sell it. These simple statements are the cause of a major challenge in
forecasting security prices, because they refer to human expectations.
As we all know firsthand, humans are not easily quantifiable nor
predictable. This fact alone will keep any mechanical trading system
from working consistently.
Because humans are involved, I am sure that much of
the world's investment decisions are based on irrelevant criteria. Our
relationships with our family, our neighbors, our employer, the traffic,
our income, and our previous success and failures, all influence our
confidence, expectations, and decisions.
Security prices are determined by money managers and
home managers, students and strikers, doctors and dog catchers, lawyers
and landscapers, and the wealthy and the wanting. This breadth of market
participants guarantees an element of unpredictability and excitement.
Fundamental analysis
If we were all totally logical and could separate
our emotions from our investment decisions, then, fundamental analysis
the determination of price based on future earnings, would work
magnificently. And since we would all have the same completely logical
expectations, prices would only change when quarterly reports or
relevant news was released. Investors would seek "overlooked"
fundamental data in an effort to find undervalued securities.
The hotly debated "efficient market theory" states
that security prices represent everything that is known about the
security at a given moment. This theory concludes that it is impossible
to forecast prices, since prices already reflect everything that is
currently known about the security.
The future can be found in the past
If prices are based on investor expectations, then
knowing what a security should sell for (i.e., fundamental analysis)
becomes less important than knowing what other investors expect it to
sell for. That's not to say that knowing what a security should sell for
isn't important--it is. But there is usually a fairly strong consensus
of a stock's future earnings that the average investor cannot disprove.
"I believe the future is only the past again,
entered through another gate."
- Sir Arthur Wing Pinero, 1893
Technical analysis is the process of analyzing a
security's historical prices in an effort to determine probable future
prices. This is done by comparing current price action (i.e., current
expectations) with comparable historical price action to predict a
reasonable outcome. The devout technician might define this process as
the fact that history repeats itself while others would suffice to say
that we should learn from the past.
The roulette wheel
In my experience, only a minority of technicians can
consistently and accurately determine future prices. However, even if
you are unable to accurately forecast prices, technical analysis can be
used to consistently reduce your risks and improve your profits.
The best analogy I can find on how technical
analysis can improve your investing is a roulette wheel. I use this
analogy with reservation, as gamblers have very little control when
compared to investors (although considering the actions of many
investors, gambling may be a very appropriate analogy).
"There are two times in a man's life when he
should not speculate: when he can't afford it, and when he can."
- Mark Twain, 1897
A casino makes money on a roulette wheel, not by
knowing what number will come up next, but by slightly improving their
odds with the addition of a "0" and "00."
Similarly, when an investor purchases a security, he
doesn't know that its price will rise. But if he buys a stock when it is
in a rising trend, after a minor sell off, and when interest rates are
falling, he will have improved his odds of making a profit. That's not
gambling--it's intelligence. Yet many investors buy securities without
attempting to control the odds.
Contrary to popular belief, you do not need to know
what a security's price will be in the future to make money. Your goal
should simply be to improve the odds of making profitable trades. Even
if your analysis is as simple as determining the long-, intermediate-,
and short-term trends of the security, you will have gained an edge that
you would not have without technical analysis.
Consider the chart of Merck in Figure 1 where the
trend is obviously down and there is no sign of a reversal. While the
company may have great earnings prospects and fundamentals, it just
doesn't make sense to buy the security until there is some technical
evidence in the price that this trend is changing.
Figure 1
Automated trading
If we accept the fact that human emotions and
expectations play a role in security pricing, we should also admit that
our emotions play a role in our decision making. Many investors try to
remove their emotions from their investing by using computers to make
decisions for them. The concept of a "HAL," the intelligent computer in
the movie 2001, is appealing.
Mechanical trading systems can help us remove our
emotions from our decisions. Computer testing is also useful to
determine what has happened historically under various conditions and to
help us optimize our trading techniques. Yet since we are analyzing a
less than logical subject (human emotions and expectations), we must be
careful that our mechanical systems don't mislead us into thinking that
we are analyzing a logical entity.
That is not to say that computers aren't wonderful
technical analysis tools--they are indispensable. In my totally biased
opinion, technical analysis software has done more to level the playing
field for the average investor than any other non-regulatory event. But
as a provider of technical analysis tools, I caution you not to let the
software lull you into believing markets are as logical and predictable
as the computer you use to analyze them.