A massive amount of valuable information is produced worldwide every day, be it on social media such as twitter or blogs or on newswires and open government sources. The proliferation of smartphones has created a new generation of content providers.
However the processing and validation of all this data is a hard and time-consuming task. Efficient filtering, search and alerting mechanisms are needed by information consumers to access the content that is most relevant for them in a timely way.
However the development of cutting edge analytics platforms, utilising semantic and machine learning, now enables providers to sift through the huge volume of content and deliver timely alerts. When provided ahead of the crowd, these alerts can help interested investors generate significant Alpha.
Utilising the Heckyl Discovery Platform, FIND, we have included one simple example from Wednesday July 17th:
FIND generated an alert, based on a twitter user, on the possible interest in FIAT by VW at 08:36:42 (BST). At the time FIAT was trading at €7.663, the price did not start to move up until 08:40:10 and peaked at €7.980 at 08:48:46, a move of 4.14%.