Stock price prediction using sentiment analysis over newswire
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README.markdown
__init__.py
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README.markdown

                                 /$$     /$$                                        
                                | $$    |__/                                        
  /$$$$$$$  /$$$$$$  /$$$$$$$  /$$$$$$   /$$  /$$$$$$  /$$$$$$$   /$$$$$$$  /$$$$$$ 
 /$$_____/ /$$__  $$| $$__  $$|_  $$_/  | $$ /$$__  $$| $$__  $$ /$$_____/ /$$__  $$
|  $$$$$$ | $$$$$$$$| $$  \ $$  | $$    | $$| $$$$$$$$| $$  \ $$| $$      | $$$$$$$$
 \____  $$| $$_____/| $$  | $$  | $$ /$$| $$| $$_____/| $$  | $$| $$      | $$_____/
 /$$$$$$$/|  $$$$$$$| $$  | $$  |  $$$$/| $$|  $$$$$$$| $$  | $$|  $$$$$$$|  $$$$$$$
|_______/  \_______/|__/  |__/   \___/  |__/ \_______/|__/  |__/ \_______/ \_______/

Prediction of stock prices based on news sentiment analysis.

This project is a Django/Python rewrite of my 3rd year project, written in Java.

Uses the article body extraction code html2text.py from Chris Pen

TODO: Add graphs from http://square.github.com/cube/