This infographic shows 14 features that any News Analysis tool must possess in order to satisfy current needs. Top features include ease of use, predictive capabilities, sentiment analysis and more. Such a tool could save enormous amount of time every day for junior and senior financial analysts and hedge fund managers and will discover insights that are regularly missed.
Automatically extracting financial insights from news stories is an intricate process that involves scouring the internet for current news, identifying the key pieces of information in the articles, and making connections across the extracted information to drive financial decisions. Our system gathers relevant news stories through sophisticated web crawling, combined with a categorization algorithm. The news is analyzed along several dimensions to extract key insights in real-time. At the core of our engine is a scalable language technology stack to identify relevant entities, relations between them and events they are involved in. These entities, relations and events form the basis of our financial insights engine, which incorporates user context, current events and a background knowledge graph to generate timely reports, trends, and dashboards of the most crucial pieces of knowledge driving investment decisions.
Reading and processing business and market news consumes a significant portion of a financial or equity analyst's work day. Even senior investment and hedge fund managers spend considerable amount of time each week reading news and analyst reports. These news play a critical role in daily investment decisions. The amount of news being published online is on the rise. Processing vast amounts of financial news stories manually continues to be challenging. Differentiating between credible news, rumors and noise poses a big challenge for analysts and is time consuming. Each analyst has their own areas of interest and searching for relevant news of interest wastes too much time. Another challenge is the dependence on only the major news sources, which sometimes doesn't catch market moving events that occasionally get published in less popular sites and blogs. Most tools do not take advantage of advanced computing algorithms and technologies to help in the analysis part, i.e. extract information and visualize them from vast amounts of unstructured news text automatically. The news analytics tool should also make it easy for analysts to build reports within the tool which could help in financial modeling that are typically done in MS Excel. Below are some of the features of a next generation news analytics tool that will help financial firms save significant amount of time and money in terms of news reading and processing time and help allocate more resource time into analysis.