columbia business school class modules
this project consists of the following python packages, scripts and some data samples
backtest: python package and jupyter notebooks to run backtest of machine learning data
bloomberg: python package for downloading data from a bloomberg terminal and storing in .csv files
analytics: python package for running machine learning algorithms and reading data from kdb+ database
scripts: q scripts for loading .csv files into kdb+ database
data: sample data files
arabesque: machine learning data used for backtesting
log: directory for writing log files