nikolamilosevic86 / finanalyzer Goto Github PK
View Code? Open in Web Editor NEWTool for technical analysis of financial data about companies indexed on the stockmarket using machine learning
License: GNU General Public License v3.0
Tool for technical analysis of financial data about companies indexed on the stockmarket using machine learning
License: GNU General Public License v3.0
Using the package manager, when running the file, i get below erroe:
java.lang.Exception: Unable to find Description file in package archive!
at org.pentaho.packageManagement.DefaultPackageManager.getPackageArchiveInfo(DefaultPackageManager.java:297)
at weka.core.WekaPackageManager.installPackageFromArchive(WekaPackageManager.java:1846)
at weka.gui.PackageManager$UnofficialInstallTask.doInBackground(PackageManager.java:783)
at weka.gui.PackageManager$UnofficialInstallTask.doInBackground(PackageManager.java:728)
at javax.swing.SwingWorker$1.call(Unknown Source)
at java.util.concurrent.FutureTask.run(Unknown Source)
at javax.swing.SwingWorker.run(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
News titles should be classified by its sentiment and colours should be presented in table view. Also, machine analyst can tell overall sentiment of the news articles
I do have a list of more than 25 000 companies indexed by Yahoo Finance. Input box should allow input by company name and auto complete if the company is on the list.
HI nikol,
Google brought me to your website accidentally and their I found this software. Its really an interesting software but what is your weka model's accuracy. Some where you wrote that when you converted to a weka model accuracy decreased or something.
Do you have a short term trend predicting model, say for predicting stocks trend up or down next month. Is it possible to add custom user weka model to your software?
This is not related to the software but to the machine learning applications in stock price prediction?
I have created machine learning models using historical daily prices and its indicator values as features. But after many models and feature selection my model accuracy is near 50%. Now I am stuck my models are not improving or worsening it just stuck in one place. Do you have any advice?
Hi,
For example if you try to get the following stock symbol PHM.MC you only get the rss information but not the indicator values column.
I try to change the . "dot" with , "comma" but it would take the value behind the comma.
Nice work!!
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