Asset Management
We use natural language processing, text analytics, and
data-mining technologies to preprocess volumes of data. By using
this prepocessed data our innovative machine learning, deep
learning and hybrid models generate signals for predicting
asset-pricemovement. We think that it is essential to have a clear
researching and production pipeline, which leads to "real" AI
based trading decisions with no human factor and bias. It’s also
pivotal for supporting self-directed investors, meaning AI should
be a critical component of any wealth firm’s growth strategy.