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 Shiraz
TrendFinder Screen Shots
The following picture shows the TrendFinder
tool available to automate the model building process. In the
dialog box there are functional sections for each of the steps to
import, synthesize, optimize data models and provide the final
predicted trend. For each step a set of goals is available to
customize or
leave default to discover data trends and prediction accuracy.
Parameters are saved as part of the document file so model updating
operates exactly like the initial model build environment.
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The
following picture shows a typical model document containing specific
parameters in addition to the historical training/testing data.
This page is implemented as a standard grid tool allowing direct import
or export to such other spreadsheet applications as MS Excel or
MATLAB. The Shiraz application contains a self standing graphics
display which holds the data calculated for the last training or
prediction operation. Shiraz also supports direct import and
sorting of TAB delimitated or CSV type datafile commonally found in
server download environments.
Each document can contain multiple (up to three maximum) symbol data
for usage in building of trend analysis database. For example if
a mutual fund was broken up into several holdings, the two largest
stock holding portions of the fund could be included seperately.
The fund overall symbol could be used in addition to the other two
stocks. Symbol data is stored left to right with the extreme
right portion (beyond the imported data) reserved for custom user
entered data such as dividend payouts or other market conditions.
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The
following picture shows usage of simple to interprete figures of merit
for model training and prediction quality. All portions of the
Shiraz GUI have been designed to eliminate most references to the
underlying math details.
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The
following picture details the Shiraz WatchList document which allow the
manipulation and usage of multiple model documents in a protfolio type
arrangement. Each entry consists of a complete model document
with embedded data and model parameters which can be updated seperately
or in a batch mode. After a specific entry is updated the date
column contains the a timestamp and related status in the form of a
red/green colorization. Watchlist documents can be saved/opened
like model documents and handling of the list entries is automated to
ease user manual manipulation of files.
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