Project created with the goal of using SVM Convex Optimization to classify attributes of S&P 500 securities.
The project is written in Python 3. It uses the following packages:
python fetch.py -h
prints:
usage: fetch.py [-h] [-d] [-l] [-s SYM] [-S SYM]
optional arguments:
-h, --help show this help message and exit
-d, --data save current S&P data to {TODAY}.csv
-l, --list list S&P Companies with sectors
-s SYM, --sym SYM print all data for symbol "SYM"
-S SYM, --SYM SYM print filtered data for symbol "SYM"