Fundamental analysis for stocks and shares

The scripts to process the data rely on pandas, numpy and matplotlib. The grapsh, as output of the python scripts are stored in the folder graphs.

Ubuntu installs

sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

apt-get purge python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose

$ pip install --upgrade pip

Ubuntu uninstalls

$ sudo apt-get remove python3-pip; sudo apt-get install python3-pip

Pip installs

$ sudo pip3 install numpy
$ sudo pip3 install scipy
$ sudo pip3 install matplotlib
$ sudo pip3 install pandas

Matplotlib does not show plots on Ubuntu and python3, then you need:

$ sudo pip3 install cairocffi
$ sudo apt-get install cmake
$ sudo pip3 install pyside

Then in the code use:

matplotlib.rcParams['backend'] = "Qt4Agg"

rather than using the default GTK3Agg (use matplotlib.get_backend() to get that information)

Plots tutorial

http://www.labri.fr/perso/nrougier/teaching/matplotlib/

Stocks fundamentals

$ sudo pip install pystock-crawler

To get fundamentals

$ pystock-crawler reports NKE -o out.csv -s 20150101 -e 20161231

List tickers

$ curl -o data/nasdaq_listed.csv ftp://ftp.nasdaqtrader.com/SymbolDirectory/nasdaqlisted.txt
$ curl -o data/nasdaq_traded.csv ftp://ftp.nasdaqtrader.com/SymbolDirectory/nasdaqtraded.txt

cfr.: http://www.quantatrisk.com/2015/06/22/get-list-nasdaq-securities-python-csv/

Helper packages

$ sudo pip2 install quandlpy
$ sudo pip2 install requests
$ sudo pip2 install Quandl
$ sudo pip2 install stopit
$ sudo pip2 install pandas-datareader