Financial markets are recognized as an efficient way to integrate new information into the price of stocks, commodities, and bonds. However, in our information-rich age, the timely detection of significant pieces of news which will trigger market reactions remains a challenge: overreacting to every piece of news is as unproductive as being a late follower.
In this paper, Causality Link presents a graphical method to understand, across a news flow, the timeliness of the detection of a new piece of information as well as its significance. We use it to demonstrate the quality of the Causality Link alerting system based on the concept of novelty.
The Causality Link novelty score system serves to identify and quantify emerging market trends by evaluating current discourse against a backdrop of historical data. The insights gleaned from this system enable users to spot potential market movements ahead of the curve, offering a predictive edge in strategy formulation.
