700499Shift Thought - Quantitative News IntegratorClosedGRD Proof of MarketInnovate UKFinancial markets have transitioned in the past decade towards systematic or algorithm-based trading. This has provided a means of harnessing short term, high volume markets in options and derivatives. However, there remains a pressing need for financial traders and fund managers to gather and understand information on market sentiment in order to make mediumto- long term investment decisions. The proposed product is a web-based news integration system that gathers thousands of news articles and examines them using natural language processing algorithms. This results in both a quantifiable measure of the sentiment of the article towards its subject as well as far more sophisticated analytics, such as the suggestion of links between concepts. As a use case, fund managers may use this service to analyse the news coverage of any firm or commodity, seeing the average degree of optimism in the subject, the magnitude of variance in opinions and the degree to which sentiment correlates with the historical market performance. They will also be able to see a list of concepts that were frequently referred to in articles relevant to the subject and a suggestion of how they might be related. For example, if several articles claim that conflict in Syria is the cause of rising oil prices, the proposed system will link the concepts ‘Syria’ and ‘Conflict’ to the object ‘Oil’, with a label that indicates the positive relationship. This allows fund managers to quickly identify otherwise obscure relationships between potential investments without having to study numerous news articles. The product will be a useful compromise between the quantitative, ‘wisdom-of-the-crowds’ approach of social media analysis and the focus and relevance of labour-intensive desk research. This project will determine the potential market size this product could exploit.