S&P500 ML & Regression Models

Project created with the goal of using SVM Convex Optimization to classify attributes of S&P 500 securities.

Requirements

The project is written in Python 3. It uses the following packages:

• requests
• bs4
• yahoo_finance
• numpy

Options

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"