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<title>Stock Prediction Based on Price Patterns 1.0</title>
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<h2>Stock Prediction Based on Price Patterns 1.0 - Matlab source code</h2>
<br><br>
Copy all files in Matlab current directory and type "example" on Matlab command window.<br><br>
<h3><b>FAQ</b><br></h3>
<b>Do these price patterns work well ?</b><br>
We are currently using these patterns for our trading strategies ;) .
You can download a protected version of code and try it.<br>
<b>Which limitations does the demo code have ?</b><br>
Only speed: in demo code artificial delays have been inserted.<br>
<b>Why does code run so slow ?</b><br>
Artificial delays have been inserted to protected code (each pattern requires about 25 minutes). In this way you
will be able to evaluate the code with some restrictions. The source code is extremely fast
and highly optimized: in some fractions of second data are processed and sell/buy signals
are ready to be used.<br>
<b>How long can I use protected code ?</b><br>
You can use protected demo code with no limit.<br>
<b>I have not a lot of time to evaluate the code. What can I do ?</b><br>
Please email us <a href="mailto:luigi.rosa@tiscali.it?subject=----- Test Results - Stock Prediction Based on Price Patterns -----">luigi.rosa@tiscali.it</a>
your data (column vectors with the high, low, closing, and opening prices of a security in csv or any
other formatted file). You will receive in 6-12 hours a candlestick chart with all price patterns that have been detected.<br>
<b>I want to obtain complete source code. What have I to do ?</b><br>
In order to obtain the complete source code (the faster code, with no restrictions and no artificial
delays) please follow the instructions reported below. A donation is required.<br>
<b>Which patterns have been implemented ?</b><br>
We have implemented existing price patterns improving them with some major modifications.
De facto new, high profit price patterns have been introduced.<br>
<b>How does the code work ?</b><br>
Each pattern is detected by a specific function. Each function has as inputs four vectors:
Opening, Highest, Lowest, and Closing price that occurred during the Time Interval of the bars.
We usually perform out tests with 5-Minute Bar Chart but, of course, other choices are possible.
The function returns as output a vector whose elements are the indices of bars where the current
pattern has occurred.<br>
<b>Have I to read a user manual ?</b><br>
It is not necessary to read any user manual. In the demo code you will find a lot of examples
and applications. All discovered patterns are visualized in a candlestick chart.<br>
<b>What is your current research in price patterns analysis ?</b><br>
We are currently studying the possibility of merging these algorithms with
approaches based on Artificial Neural Networks and Genetic Algorithms.<br>
<b>Why Matlab ?</b><br>
Matlab offers the possibility to create fully-customizable code, with a simple and intuitive
programming language.<br><br><br>
For further information please visit
<a href="http://www.advancedsourcecode.com/stockpredictionpricepatterns.asp" target=_blank>http://www.advancedsourcecode.com/stockpredictionpricepatterns.asp</a>
or email to <a href="mailto:luigi.rosa@tiscali.it?subject=----- Stock Prediction Based on Price Patterns -----">luigi.rosa@tiscali.it</a>.
<br><br>
<b>
Luigi Rosa<br>
Via Centrale 35<br>
67042 Civita Di Bagno<br>
L'Aquila - ITALY<br>
mobile +39 320 7214179<br>
email luigi.rosa@tiscali.it<br><br><br>
</b>
The authors are not commodity trading advisors. The information on this site is
for trading education only. There are no trading recommendations for any one
individual made on this site and this information is paper trades for trading
education. All trades are extemely risky and only risk capital should be used
when trading. The authors have no relationship or partnership with The
Mathworks. All the code provided is written in Matlab language (M-files and/or
M-functions), with no dll or other protected parts of code (P-files or
executables). The code was developed with Matlab 14 SP1. Matlab Financial
Toolbox is required. The code provided has to be considered "as is" and it is
without any kind of warranty. The authors deny any kind of warranty concerning
the code as well as any kind of responsibility for problems and damages which
may be caused by the use of the code itself including all parts of the source
code. <br>
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