For the purpose of this challenge we have been exploring the correlation between news articles and prices.

We have used Decision Forest Regression and Linear Regression to create a model comparison between sentiment and count based models.

• Comparing news sentiment and stock price (all - microsoft).ipynb - Correlates the sentiment of news with stock prices for Microsoft
• Events and stock price correlation.ipynb - Correlates Microsofts' events and their closest stock prices changes
• Microsoft Enquity.ipynb - Allows to look into the formatting of the enquities data set

• the main data set we had used was provided by Bloomberg and it contained equities, indexes, etc.
• https://github.com/philipperemy/financial-news-dataset