Home

Numerous investment institutions, software companies, banks, and websites offer Internet-based interactive research tools to allow their users to evaluate and compare a variety of financial instruments. One drawback of such tools is the requirement that the user be financially knowledgeable enough to create a list of financial instruments of interest and to have the ability to pick the appropriate criteria. Another drawback is the inability to compare financial instruments from different classes (e.g., mutual funds to exchange-traded funds). A third drawback is the complexity involved in interacting with the interfaces of existing financial search tools.

Stockato, a cloud-based software as a service (SaaS) company, invented a classification technology that allows classifying signals (or time series) regardless of their length, type and quantity. The technology allows evaluating the level of similarity between the behaviors of financial instruments regardless of type, sector and location and provides the user with the ability to quickly compare between financial instruments (for example, less risky, lower fees, higher returns). Stockato assumes that such search ability does not exist as it is not straightforward to implement, mainly due to drawbacks of existing known classification methods. Stockato Web Services (SWS) is a collection of remote computing services, which apply Stockato’s signal classification technology to mutual funds, exchange-traded-funds, and stocks. Stockato or its customers can build client-side applications based on the web services such as a similarity-based search engine or a similarity-based portfolio managing system. The web services can also be used to embed the technology in existing products such as finance screeners or in a web page that contains an article. SWS can also be embedded in existing portfolio management systems to help the user improve his or her holdings, for example, to reduce Beta for a certain sector.

http://stockato.com/