Centers around a Python file which runs a variety of data science techniques that ultimately predicted the movement of a stock based on qualitative news headlines provided by a .csv file.
These instructions will get the stockPredicter.py running.
The file was initially a Jupter notebook but I converted to a python file for ease of use.
You will have to have an interpreter that can read jupyter notebooks styled .py files.
- install the relevant libraries
- run each tab in order