Smart EDGAR: Calculation of Growth Parameters

Published by pschatzmann on

Financial KPIs can be used to drive investment decisions. So it was my goal to create a comprehensive set of KPIs across different dimensions that are based on the information which can be determined from EDGAR:

  • Profitibility
  • Liquidity
  • Efficiency
  • Innovation
  • Growth
  • Leadereship
  • Surprises

In this document we demonstrate the approach on how to calculate the Growth Parameters

see also:

  1. Deeplearning4j – Recurrent Neural Networks (RNN)
  2. Multiple Wordpess Instances in Docker with NGINX & https
  3. PWM Support for my Raspberry Pico Arduino Framework
  4. You are really ugly but your face is pretty: Living in #ifdef Hell
  5. H2O Sparkling Water – Distributed Random Forrest
  6. Bringing Order into my Microcontroller Chaos
  7. A FLAC codec for my Arduino Audio Tools
  8. Tensorflow Lite Microspeach with my Audio Tools Library – The Final Solution
  9. Using a ESP32-C3 with my Arduino Audio Tools Library
  10. TTS with Pre-Recorded Audio: Building a Talking Clock
Categories: Data ScienceEDGARMachine Learning

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