Stocks & Commodities V. 31:6 (48–51): Product Review: StockSpotter by Dennis Peterson
Product Description
Product Review: StockSpotter by Dennis Peterson
StockSpotter
STOCKSPOTTER.COM
6595 Buckley Drive, Cambria, CA 93428
Phone: 805 927-3065
Email: Ehlers@stockspotter.com,
RicWay@stockspotter.com
Product: Daily alert service for stocks
Price: $45/month or $95/month
depending on signals provided
Requirements: Web browser
StockSpotter.com, which provides
daily alerts for equity buy trades
(long positions), has a new and
improved look. It still offers the MESA
(maximum entropy spectral analysis)
tools developed by John Ehlers, which
are available for free to perform your
own analysis. In addition, some premium
tools are offered. Business partner Ric
Way has developed some serious data
mining tools using DSP (digital signal
processing) techniques to provide highprobability
signals for setups that come
from the MESA tools. It is the signals that
you pay for, as well as some specialized
screeners. All of the MESA tools are free
at the website. In developing the new
DSP indicators, Way has attempted to
answer the following question: Given
a perfectly genuine setup using MESA
tools, is it time to enter a trade?
There is more. StockSpotter includes
the SwamiCharts indicators, which are
also available on the ThinkOrSwim
platform by TD Ameritrade. When you
view a price series on StockSpotter.
com, it will generally have two MESA
indicators in separate subcharts below
the price chart. The two indicators have
been preselected to analyze the price
series for three different trading styles:
swing, momentum, and trend.
Thus, StockSpotter supports these
three types of traders with tools for each,
and also has screeners that let you find
the best long position candidates after
searching more than 4,000 stocks and
ETFs. It performs searching/screening daily. StockSpotter provides signals for
trades expected to last from two days
to as long as a couple of weeks. It also
provides as many as 15 different types of
screeners. Since StockSpotter generates
entry and exit signals on its own, statistics
can easily be gathered to see how well
different classes of trades work.
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