New York, NY (PRWEB) September 29, 2015
Minetta Brook™ today released the next generation of its award-winning KNEWSAPP™ solution, a real-time news analytics, monitoring & discovery application for traders and investors. In addition to powerful new topical search capabilities, KNEWSAPP 2.0 features a new Alerts Monitor dashboard driven by portfolio, ticker and topic alerts, as well as customized automated periodic reporting capabilities.
KNEWSAPP is designed to identify investment opportunities and mitigate risk by surfacing predictive signals from developing news, tweets, blogs and other business and financial information sources across the globe. Investors are alerted to unusual activity in securities, through real-time processing of news and social media, with the use of computational linguistics, machine learning, and proprietary algorithms.
"Our new Alerts Monitor allows users to identify tickers and topics that are unusually active in news and social media in real-time,” said say Prabhu Venkatesh, Chief Scientist at Minetta Brook. “The intuitive color-coded dashboard allows KNEWSAPP users to easily monitor and manage their alerts by portfolio, ticker, topics and content type. Whether it be from news feeds, tweets or regulatory filings like 13Fs, the faster we can recognize a piece of news as important to a portfolio and alert the user to it in an efficient and organized manner, the more valuable the role KNEWSAPP plays in the investment process.”
KNEWSAPP 2.0 also offers automated periodic reporting to help users manage their daily workflow and adjust their monitoring parameters as necessary. Earlier this month, Minetta Brook announced that it had reached an agreement with Midnight Trader to integrate MT Newswires’ LIVE Briefs PRO into KNEWSAPP. This real-time financial market news has now been fully integrated into KNEWSAPP 2.0.
Minetta Brook captures millions of news articles, blog posts and tweets in real-time across ~50,000 sources globally. Proprietary velocity algorithms identify and score fast-developing topics, tickers, and interrelationships. Machine-learning is used to drive a unique rating and ranking system designed to deliver actionable investment signals to KNEWSAPP users.
“News and information moves markets faster every day,” said Minetta Brook CEO, Dan Concannon. “By leveraging machine learning to automate content analysis and proprietary news velocity and scoring algorithms to surface the information that matters most, we give investors the power of speed and informed decision-making.”
About Minetta Brook
Founded in 2011, Minetta Brook was formed in response to the explosion of unstructured data in our lives. The Firm is recognized as a 2015 TiE50 Top Start-Up and listed as one of the best ideas coming out of Finovate by WealthManagement.com. Our team comprises scientists and technologists who understand information, finance, and business. We developed the trading systems that became the model for every single modern trading system. Our software underpins NASDAQ's messaging infrastructure. We have built algorithms for trading and extracted news for algorithms. We designed the massively scalable server clusters and information architecture that run systems on Wall Street. For more information, visit http://www.minettabrook.com