Course #203: Technical Analysis
Introduction
There are many books and Web sites that try to explain TECHNICAL ANALYSIS (TA).
Dan and I have read our share of them and a few are very good. But why is this
course any better than the others?
This online course is a blend of concepts, theory, real-world applications,
examples and our own experiences specifically designed to help you make money
in the markets and keep the money you make! We believe this
course will provide you with the necessary tools to help you create wealth in
the stock market. After each lesson you can apply what you have learned by
studying the charts of your own stocks and studying the major indexes.
In order to profit consistently over time while investing (or trading) you have
to gain knowledge and experience, which will help you keep those profits. You
must have discipline. And you must be willing to take calculated risks. Calculated
risks!
In the lessons that follow we will share our experiences with you. And with time
you will be able to develop your own philosophy, methodology and discipline.
You will enable yourself to identify and take the calculated risks in the
markets that stack the odds in your favor. And you will discover how to control
risk toward the end of making and keeping a profit. Sure, it's fun. But let's
not lose sight of why we're doing this!
EXACTLY WHAT IS IN THIS COURSE?
First we will describe some of the most common, popular and broadly useful tools
of the chartists and technical analysts. Then we will dig a bit deeper into a
number of technical indicators and oscillators. Finally, we'll share some of
the proprietary indicators available at 21st Century Investor, specifically
those used in The Agile Trader.
JUST WHAT IS THIS TECHNICAL ANALYSIS STUFF?
Before we dig into the many concepts and tools used in Technical Analysis (TA),
we need to be able to answer a couple of basic questions:
-
What is Technical Analysis (TA) and how do you use it?
-
How is it useful?
1. What is Technical Analysis and how do you use it?
TECHNICAL ANALYSIS (TA) involves tracking price, volume and time data from
trading instruments usually on charts or spreadsheets in order to understand
the behavior of those instruments. The goal of understanding the behavior of
the instruments is to determine the most advantageous points at which to buy
and sell instruments in order to make money. But not just to make money -- also
to limit risk. TA is used in trading commodities, stocks, stock
indices, futures, currencies, bonds and virtually anything else for which data
can be collected and organized. Indeed, the Japanese began using a kind of TA
as far back as the mid-1800s while trading rice.
Chartists look for identifiable patterns in the collected data and make their
best efforts to predict near-term future behavior based on the patterns.
Markets have certain kinds of regular "customs" or "laws" which we try to
identify and use to forecast the future.
In this course we will deal primarily with stocks and stock indices. The
principles of charting apply to all markets, although there are some variations
in what works best or least depending on the properties of the markets under
scrutiny. For instance, the long-term pattern of certain commodity markets are
essentially flat while the long-term pattern of the stock market appears as an
exponential curve.
But what are we really doing? What are we measuring? We are measuring buying and
selling. We are keeping track of buying and selling over a particular period of
time and how much buying and selling moves the price of the instruments.
Who is doing this buying and selling? Professional money managers who work for
large mutual funds, hedge funds, wealthy individuals, pension money and
insurance companies. There are also traders on the floor, super computers
spitting out program trades and people sitting in their basements making trades
on their computers. Millions and millions of decisions are being made all day
long in every corner of the globe. And when you aggregate the whole mess you
see that some sort of society has formed in a marketplace. That market is
arguing, constantly voting with its dollars on the subject of fair value and
struggling mightily to achieve a dynamic consensus. So what we're really doing
is measuring complex aggregates of arguments based on human social behavior. In
an academic sense a very specific kind of statistical sociology. To be
practical we want to figure out what the markets will do so we can trade them
profitably.
Ultimately, we have only three elements to analyze: price, volume and time. We
try to find meaningful and effective ways of slicing and dicing the data. We
might slice the data one way to try to discover momentum. We might dice it
another way to discern support levels. Data is analyzed one way to discern the
direction in which money is rotating, and studied yet another way to define
sentiment. But price, volume and time are the only raw data elements that we
have to work with; everything else starts from there.
2. WHAT IS TA USEFUL FOR?
If a picture (chart) is worth a thousand words then what is the picture (chart)
telling us? Are the prospects bullish, bearish or is the picture uncertain?
Charts can help us determine direction and a potential price target. Knowing
when to buy and sell can lead to potential profits.
Ultimately it boils down to signaling when to buy and when to sell. There are
plenty of ways to measure when it's time to buy and when it's time to sell.
There are breakouts, breakdowns, measured moves, bounces and failures (of trend
lines, moving averages, etc.), one-day candlestick patterns, three-day
candlestick patterns, Fibonacci retracements, Fibonacci price targets,
parabolic stop and reverse signals, sentiment measurements, oscillator signals
and more. An infinite supply of tools exist, bound only by the limits of human
imagination.
TA is good for giving you buy and sell signals. Are they always correct?
Absolutely not. Can you derive a trading system that is right more often than
wrong? You bet. Can you derive a trading system that nets larger average gains
than losses? Absolutely. Can you find a method that tends to make money? That's
your goal.
TA is also useful in controlling risk.
An important benefit of TA is that it can provide you the discipline to get out
when you're on the wrong side of a trade. The easiest thing in the world to do
is to get on the wrong side of a trade and to get stubborn. That is also
potentially the worst thing you can do. Believe me. I have made this
mistake. You think that if you ride it out you'll be okay. And the most
seductive thing is that often times you will be okay. However, there
will also be occasions when you won't be okay. The stock will move against you
in ways and to an extent that you previously found virtually unimaginable.
Now, the next part I'm going to write in caps. And I want you to read the whole
thing. Don't skip over the second and third iterations.
IT IS MORE IMPORTANT TO CONTROL RISK THAN TO MAXIMIZE PROFITS! IT IS MORE
IMPORTANT TO CONTROL RISK THAN TO MAXIMIZE PROFITS! IT IS MORE IMPORTANT TO
CONTROL RISK THAN TO MAXIMIZE PROFITS!
Okay, we say this is so, but why is this the case?
This is true because of the asymmetry between zero and infinity.
What does that mean? Unless you are someone very special you have finite
capital. Most likely you have very finite capital. With a market of thousands
of stocks you have a functional infinity of opportunities.
If you lose an opportunity, you will have thousands more tomorrow. If you lose
your capital, will you get thousands more tomorrow? Most likely, no. You will
have also lost your opportunities. Your capital is worth more to you than your
opportunities because you must have capital in order to take advantage of
tomorrow's opportunities.
It's simply supply and demand. Waste what's plentiful, preserve what's scarce.
Preserve your capital because your capital is your opportunity.
This is why:
It is more important to control risk than to maximize profits!
We spend time on this because we want you to be aware that one of the most
important things TA can do, if practiced with discipline, is give you specific
parameters for managing risk.
Wall Street history is littered with the corpses of geniuses who trounced the
market -- those who overstayed their welcome and were subsequently wiped out.
(Do the names Long Term Capital Management (LTCM) and Stanley Druckenmiller
ring any bells?) LTCM (populated by two Nobel laureates among a number of very
smart people) went bankrupt betting on what almost always happens would happen
"this time." Why did they go bankrupt? Was it because what usually happened
DIDN'T happen that time? Well, it didn't happen...not right away...but that's
not why they went bankrupt. Their liquidity ran out. The market remained
irrational longer than they could remain solvent. They went belly up because
they didn't know when to quit, because they didn't manage their risk.
And Druckenmiller (a much-vaunted Wall Street savant) was fired as manager of
George Soro's fund group when the tech bubble burst. Again, this is not just
because he was on the wrong side of the market when the bubble burst but
because he didn't manage risk when he was on the wrong side of the market. (In
the major reversal section we discuss major reversal patterns that can help
identify chart patterns that can reverse a major trend and presage a 100%
retracement. Any investor who has mastered this section would knows to protect
himself!)
You can be right a thousand times, become very wealthy and then get wiped out
completely if you manage your risk poorly just once.
One last time: That is why it is more important to control risk than to maximize
profits!
ON A MORE PERSONAL NOTE
TA can be overwhelming. How do you know what to look for? How do you organize
your thinking in a market of 9,000 stocks (and more) trading billions of shares
per day? How do you learn your way around?
We want to approach TA the same way you might teach someone his or her way
around a city. Just having a map is great, but it's not really a substitute for
walking the streets of Paris or New York.
When I (Adam Oliensis) was 19 I visited my sister who had moved to Manhattan.
The most fun I had was putting on my running shoes and jogging - first through
the East Village, then uptown through Chelsea and into midtown Manhattan. I
jogged up 6th Avenue at lunch hour in the midst of the hustling crowds and
traffic and skyscrapers and into Central Park. I ran by the lake and the ball
fields then suddenly found myself standing between Tavern on the Green and the
Sheep Meadows. I walked into the field and sat down for a while viewing the
city: I saw 5th Avenue to the east, Midtown to the south, and the sun now
angling down toward evening in the west. I felt as if I knew the city
intimately and was no longer a stranger. You can't get that feeling from just a
map.
That's how we would like for you to learn about TA in this course. In addition
to sharing theories and practices of TA (the map of the city) with you, we'd
also like to share our hands-on experience using TA. (We've eaten at all the
Chinese restaurants in the neighborhood, so we know which ones are good and
which ones not so good.) We want you to learn the neighborhoods in a way that
will save you from wasting your time (eating at the crummy restaurants) and
help you to develop more than a general understanding. We want you to develop a
useful understanding of what tends to work and what doesn't. This knowledge is
what we intend to share with this online course.
Okay, now that you know something about TA and how it can empower you in the
markets, let's get to it!
Adam Oliensis & Dan Hassey
Course Outline