Targeted company sentiment analysis using advanced machine learning.
We enable asset managers to quickly focus on those parts of their portfolio where action may be required.
A large amount of relevant data is available as unstructured text.
This data is increasingly time-consuming to assimilate.
It is not easy to read everything which is relevant to our portfolio.
We use natural language processing in a number of languages to continuously scan and analyze a number of sources - including news, regulatory reports, and social media - relevant for our client's portfolio and benchmark.
Gradually expanding to include fundamental, technical, and macroeconomic analysis.
Machine learning approaches we use include Deep Neural Networks, LSTM's, Generative adversarial networks, and Bi-directional encoder representations from transformers.