Donald Trump is the best, smartest, most beautiful, richest, youngest … President that was ever elected in the US. He is also the best that could happen to the profites of the companies which are located in the US. But is this actually true ? We use the values from Read more…
The initial concept of Smart EDGAR was to provide the tools to download the data from the EDGAR website and – store the information as local files – store the information in a SQL database – provide reporting functionality from this data We have extended the functionality a little bit Read more…
Financial KPIs can be used to drive investment decisions. So it was my goal to create a comprehensive set of KPIs across different dimensions. In this document we will use EDGAR to calculate KPIs to measure the following dimensions of a reporting company – Profitability – Liquidity – Efficiency – Read more…
A long time ago, when I was studying “Management and Business Administration” in Switzerland, I thought it would be cool to be able to calculate Financial KPIs in order to compare different companies within one sector or to be able to identify sector specific differences. Well, in Switzerland we still Read more…
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: – Profitability – Liquidity – Efficiency – Innovation – Growth – Leadership – Surprises Read more…
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 Read more…
So far we have seen how to use the database related API of Smart EDGAR. In this Gist I give a quick overview of the core functionality of the File based API which does not require any DBMS.
Edgar is classifying the reporting companies by SIC (Standard Industrial Classification) Code. We can use this information to calculate the total sales per sector and then calculate the % share of the individual company. This is helping us to identify the companies with a big market share. The result (which Read more…
In the last Blog we demonstrated how we can calculate KPIs with the help of Spark. We have extended Smart Edgar functionality so that we can implement Calculated KPIs directly with the help of formulas. Here is a short demo in Scala which uses formulas the built in ‘coalesce’ method Read more…
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 Read more…