ContextStreams® Implementation

The ability to extract insights from market, economic and news-based data depend substantially on the underlying metadata that enables models and analytics to leverage information out of data. Asset managers and hedge funds typically spend USD 1M or more on these data sources, and as such, comprise a relatively large component of their operational expenses.

Notably, the usability of these data sources in the aggregate is typically poor. They cannot efficiently deliver the necessary contexts for portfolio managers to quickly uncover insights into specific situations. As a result, the information vacuum typically engenders the need to acquire yet more data sources, eventually leading to an unusable glut of underutilized and oftentimes, marginal data sources.

ContextStreams® automatically parses information out of your existing data sources, creates the necessary metadata, and expresses the resulting elements into a database. The models and analytics in use by portfolio managers, analysts and traders can then access this enriched context-aware information targetted specifically to their unique systems and implied workflows.

The data management framework that enables context-aware usage is powered by an investment management ontology developed by forward look, inc. The enriched data can be used in either a relational format or as an XML-based stream.