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equities

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Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  • Updated Dec 3, 2018
  • Jupyter Notebook
rsvp
rsvp commented Jun 19, 2018

So far we have relied largely on demonstrative notebooks
at https://github.com/rsvp/fecon235

The source code here at fecon236 is designed to be more
explicit than casual usage, so if you have experience in
setting up a nice documentation framework, please
kindly volunteer.

The current "docs" need a complete redo, one that starts from fresh eyes.
Nobody peeks at the source code unless t

enhancement help wanted good first issue

Computational data tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  • Updated May 1, 2017
  • Jupyter Notebook

This application which runs on the command line gathers given equities' quote information and writes it to a sorted file index allowing the user to build up a store of data for analytics. Just as Ruth was sent to gather in Boaz' field in the story from scripture. Stage 2 is in the works right now and involves integrating machine learning to analyse this data so that it can automate the buy-sell process for the user.

  • Updated May 7, 2019
  • Python

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