Conventional methods for predicting stock prices rely heavily on quantitative analysis and machine learning algorithms, but this project presents a new approach centered around the “rumour mill”. Public sentiments and speculations about a company are key drivers of its stock performance. ‘Chatter’ is a WebApp that performs AI based sentiment analysis on recent twitter posts about a company, to determine whether the overall chatter on a given company is positive or negative and therefore whether to buy, sell, or hold the stock.