Francesco is the co-founder and CEO of Brain, a company focused on the development of algorithms for trading strategies and investment decisions. He obtained his Ph.D. in Computational Methods applied to Quantum Physics from Uppsala University in 2010. He focused his career in solving complex computational problems in different sectors using a wide range of techniques, from density functional theory in solid state physics to the application of machine learning in different industrial sectors.
Sentiment scoring of global stocks based on machine learning approaches combined with Natural Language Processing techniques.
Brain developed a sentiment Indicator on about 7000 global stocks monitoring the news from financial media with the objective of providing the ‘market mood’ on listed companies.
The proprietary sentiment scoring indicator (BSI) is based on machine learning techniques used to categorise the news in specific topics combined with natural language processing techniques that make use of a proprietary dictionary of financial terms.
The sentiment indicator can also be aggregated on thematic baskets of stocks related to non-conventional themes (e.g. nanotechnology, wearables, drones) selected by machine learning analysis of company public information (e.g web pages) of global stocks.