Calculating Financial KPIs with Scala, Spark and Smart-EDGAR¶

Published by pschatzmann on

I am planning to use the Edgar data to determine and calculate some financial KPIs and feed these into a Neural Network. In my prior posts I described how to use Webservices to request and display Edgar information with the help of Python and Pandas.

In the following Gist I show how we can directly use the ‘built in’ Java Query functionality of Smart-Edgar from Scala in order to calculated some financial KPIs.

see also:

  1. Deeplearning4j – Recurrent Neural Networks (RNN)
  2. Deeplearning4j – Iris Classification Example
  3. Solid Modelling for 3D Printing for the JVM in Jupyterlab
  4. H2O Deployment in Scala, Groovy, Kotlin….
  5. H2O Sparkling Water – Distributed Random Forrest
  6. Random Forrest Classifier in Spark ML
  7. Microcontrollers and MIDI – Using the Bluetooth Serial Interface
  8. Identity Management and Authentication for Java Webservices and Javascript GUIs
  9. Using Shogun in the JVM
  10. Multiple Wordpess Instances in Docker with NGINX & https
Categories: EDGAR

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