Product Description
Product review: Group Power by Dennis Peterson
Bollinger Capital Management
PO Box 3358,
Manhattan Beach, CA 90266
Phone: 310 798-8855
Email: BBands@BollingerBands.com
Website: www.GroupPower.com,
www.BollingerBands.com
System requirements: Internet connection
& browser software
Product: Technical analysis website
Price: $25/month; 30-day free trial
Group Power is one of several
technical analysis websites from
technician John Bollinger and
can be found at www.GroupPower.com.
Bollinger, known for his widely popular
Bollinger Bands envelope technique,
created Group Power because he felt
that risk/reward prospects are best if
you pick a stock in a strong group and a
strong sector. The synergy of having the
stock, group, sector, and market all moving
in your direction can be powerful.
Consequently, the site provides analysis
that allows you to see which sector or
industry group is moving into a position of strength. When you approach this type
of problem, there are three questions to
answer:
1 In what direction is the market
moving?
2 What sectors are moving in the
same direction, and as a corollary
to that, are the sectors correlated
with the market direction?
3 What is the size of the movement,
and how does it compare with
other sectors?
There may be more than three questions
in there, but you get the idea. Let’s tackle
the first of these: market direction.
Market direction
Which way is the market moving? The
first thing to do is define what you mean
by market. For Group Power, this is a
sophisticated undertaking. The market
is defined to be 15 different sectors and
each of the sectors has several industry
groups, and within each group there are
individual stocks. Sounds simple, so
where’s the sophistication?
The first sophistication is that some
stocks are thrown into a noncorrelated set
if they don’t behave like the rest of the
group. In a final step, the noncorrelated
set of stocks is searched to see if any of
them move like the rest of the stocks in
an industry group. The result is industry
groups whose individual stocks behave in
a like manner. However, suppose industry
group A has 10 stocks, while industry
Group B has 100 stocks. If you wanted
to compare group A to group B, each
stock in A would be contributing 1/10,
whereas each stock in group B would be
contributing 1/100. This could mean that
a single stock in group A could be moving
all of group A, where that is not a likely
case for any stock in group B.