Alpha factors from unstructured data
Extracting alpha factors using AI from alternative data is of growing importance for active investors, since the depletion of traditional data sources is increasingly becoming reality. It gets ever more difficult to discover new alpha in stock price data and other traditional data. Applying smarter algorithms to traditional data will not help. The solution to finding sustainable alpha is in alternative data. With help of Entis, asset managers will gain a unique competitive advantage.
Entis discovers and develops alpha factors from unstructured data such as company texts. This service comprises of deep text analysis, feature discovery, strategy building and back-testing. Entis has invested in tackling the challenges of extracting alpha factors from unstructured data since 2014. Today the competitive edge of Entis is defined by the combination of sophisticated AI with human expertise, as this delivers the best and reliable results. Our expertise to connect with - and retrieve - historical data, including the human interpretation and scientific validation of alpha factors, provides the predictive insights for sustainable alpha.
At the heart of these Alpha Factor analyses are the AI Engine and our PhD level data science team.