OTAS Technologies Gets Personal With The Launch of OTAS Lingo, Automated Natural Language portfolio analysis reports

  • Infrastructure
  • 02.06.2015 01:00 am

OTAS Technologies, providers of market data analytics, today announced the launch of OTAS Lingo, its new natural language reporting technology. OTAS Lingo produces reports containing up-to-date analysis of all the standout and unusual activity in the stocks users care about. Lingo will enhance daily market reports, inform risk management decisions and keep users up-to-date with the latest developments in markets and portfolios, via the desktop or on the move.

Lingo instantly generates reports on demand, detailing calendar events and highlighting the most significant changes in price performance, short interest, options, credit, valuation, yield and technicals, as well as any important recent director (insider) dealing. The text is easy to read, free-flowing and succinct and is all machine generated so users know that the most significant changes are being highlighted, eliminating the emotion and bias of human reporting. The launch version supports daily, weekly and monthly reports, with intraday reports planned for the next release in July.

Tom Doris, CEO of OTAS Technologies said, “We’re incredibly excited to launch OTAS Lingo. It’s a true revolution for users who need to absorb complex information. OTAS analytics does a great job of extracting important information from the mass of financial market data, and now we can deliver that content in the most natural form possible, plain language. We have listened to our clients by developing reports that put the user in control. They decide the timeframe of analysis, the frequency of the report and a time of receipt and Lingo will do the rest.”

Lingo was developed in-house by OTAS Technologies in order to leverage the full power of the OTAS Base analytics API. The NLG engine was developed on the Haskell stack provided by FP Complete.

“We chose Haskell and the FP Complete stack because we knew the complexity of the problem required a new approach. The result was that we built better software faster than ever, and delivered it defect-free into a production environment where it has proven robust and high-performance,” add Doris.

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