The share market has traditionally been the proving grounds for machine learning applications. There is a lack of an algorithm which can find the heuristic reasoning of humans based on current events/trends. The proposed system is an attempt to reconcile computed sentiments alongside traditional/more common data mining. Datasets consisting of historical data as well as recent headlines will be mined to ascertain stock price movement. In the proposed system it is to be hoped, more accurately predict stock price movement by emulating instinctual reasoning by implementing sentiment analysis.