Stock Prediction Based on Price Patterns 1.0 - Matlab source code



Copy all files in Matlab current directory and type "example" on Matlab command window.

FAQ

Do these price patterns work well ?
We are currently using these patterns for our trading strategies ;) . You can download a protected version of code and try it.
Which limitations does the demo code have ?
Only speed: in demo code artificial delays have been inserted.
Why does code run so slow ?
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.
How long can I use protected code ?
You can use protected demo code with no limit.
I have not a lot of time to evaluate the code. What can I do ?
Please email us luigi.rosa@tiscali.it 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.
I want to obtain complete source code. What have I to do ?
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.
Which patterns have been implemented ?
We have implemented existing price patterns improving them with some major modifications. De facto new, high profit price patterns have been introduced.
How does the code work ?
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.
Have I to read a user manual ?
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.
What is your current research in price patterns analysis ?
We are currently studying the possibility of merging these algorithms with approaches based on Artificial Neural Networks and Genetic Algorithms.
Why Matlab ?
Matlab offers the possibility to create fully-customizable code, with a simple and intuitive programming language.


For further information please visit http://www.advancedsourcecode.com/stockpredictionpricepatterns.asp or email to luigi.rosa@tiscali.it.

Luigi Rosa
Via Centrale 35
67042 Civita Di Bagno
L'Aquila - ITALY
mobile +39 320 7214179
email luigi.rosa@tiscali.it


 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.