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Semlab News Analysis Platform Integrates into Algo Trading Systems

Semlab has released an enhanced version of its ViewerPro news analysis solution for traders.

ViewerPro integrates news and data from all major newswires, including Thomson Reuters and Dow Jones, as well as disparate news Web sites and RSS feeds.

The information is received by the ViewerPro server and ViewerPro then interprets the news according to user-defined business logic for positive and negative impacts on the portfolios selected by the user.

“The ViewerPro system has a fully visual interface where the user can select a portfolio and its related news items and see their impact. The system instantly updates when new news items are received,” explains Thomas Dohmen, project manager at Semlab.

He says that traders are able to express their unique business rules according to their own market insights and can ultimately protect their proprietary knowledge.

ViewerPro processes text by using leading edge semantic technology including meta-data filtering, parsing, gazetteering, stemming, natural language processing and automatic pattern matching.

He adds, “In addition to the user interface ViewerPro output can also be received by automated trading systems. For Algorithmic Trading a computer readable format feeds into CEP and algo systems directly.” Dohmen says that the ViewerPro system is platform independent and can be integrated into basically any trading system. Typical users include buy and sell side algorithmic traders, hedge funds and asset managers.

“Because ViewerPro turns vast amounts of unstructured news into structured electronic trading information in real time, traders, analysts and researchers can decide faster and stay ahead of their competitors,” says Dohmen.

The initial version of ViewerPro was released in fall of 2008 and consisted of the semantic analysis server. But the latest improvements offer the user interface as well as enhancements in the following areas: duplicate event detection (event first published – last published); alerts; advanced semantic statistics; fuzzy pattern matching; financial terms ontology updates; Reuters NewsScope and Dow Jones integration; improved web scrapers; and connection to stock ticker data.

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