With the introduction of personal computers, the science of
“technical analysis” of market behavior became broadly available for
the first time. At first, its primary appeal was with commodity traders in Chicago and at the stock exchange in New York.
During the past decade, the science migrated into the world of
longer-term investing. It turns out that some of the techniques used
effectively by commodity traders and day traders also work well when
applied to longer-term market trend analysis and stock market investing. And new approaches
have developed that apply strictly to longer-term investing.
Today there are many software platforms available for technical
analysis with varying degrees of sophistication. While many in the
public remain unfamiliar with technical analysis and how it differs
from the traditional investment approach known as “fundamental
analysis,” the sub-culture of computer-oriented “market technicians”
steadily grows and the number of investment newsletters and diversified investment advisors using technical analysis increases.
The mathematical basis of technical analysis allows you to reduce a trading strategy to a formula. The formula simply describes the logic of the trading strategy. Of course, the trading strategy must be based upon variables that can be quantified and tracked over time. Then, a computer can be used to run the strategy’s logic against an historical data series.
This is back testing. The computer allows you to test any number
of variables and any number of alternative approaches quickly and
easily to develop an effective market timing strategy.
And, once you have established an effective strategy, you can use
back testing to simulate its performance over previous, historical
periods.
In sharp contrast, market technicians use technical analysis to
build sound market timing strategies based upon solid statistical relationships in
the markets – patterns and relationships that tend to repeat
themselves with a reasonably high statistical frequency ...
certainly with enough frequency to gain a systematic “edge.”