Lucena Research partners with PsychSignal to deliver predictive analysis from Social Media Sentiment Data
Atlanta, GA (PRWEB) May 14, 2015 -- Lucena Research, a leading provider of big-data analytics and decision support technology, and PsychSignal, a provider of real time financial sentiment data, have announced today a partnership to enable PsychSignal data and insights on Lucena’s flagship analytics product QuantDesk®.
QuantDesk® enables hedge funds, portfolio managers and other investment professionals to quickly validate and subsequently seek alpha from a growing array of orthogonal predictive data sources. The open nature of the QuantDesk® platform enables clients to use validated data sets such as PsychSignal in research and active trading environments. Specifically, PsychSignal’s data can be used in the context of Price Forecasting and Event Signal Analysis. Further, Lucena’s machine learning technology enables customers to visualize and quantify the PsychSignal data, as well as recommend additional factors that enhance the data set’s predictability. This combination of predictive analytics and human insights enables the system to rapidly deliver customized portfolio construction, portfolio optimization and proprietary strategies.
Eric Davidson, VP of Business Development at Lucena, said “There is a huge opportunity and trend around non-traditional data sources. The possibility of untapped alpha in the growing body of unique data sets is intriguing to forward-thinking Portfolio Managers, whether quantitative managers or traditional fundamental managers. Portfolio Managers often ask us what unique data sets we have to present to them. However, these Portfolio Managers often lack the quantitative infrastructure and in-house know how to cost-effectively integrate a new data source. Lucena is well positioned in this workflow, solving a pain point for fund managers by streamlining this workflow and helping the managers seek alpha in new ways for their clients. We look forward to working with PsychSignal.”
“We are excited to work with Lucena Research in providing unique solutions for sophisticated investment managers.” said James Crane-Baker, CEO of PsychSignal. “We believe that Lucena’s customers will benefit greatly with access to Lucena’s industry-leading quantitative data integration, further enhanced with PsychSignal’s exclusive access to public and private online sentiment analysis data processing technology. Our two platforms working hand in hand is a very powerful combination indeed, and we are very bullish on the forthcoming results.”
About Lucena Research
Lucena Research is a leader in decision support technology for investment professionals. Lucena delivers quantitative analysis and statistical forecasting based on machine learning technology that enable our customers to exploit market opportunities with precision and to reduce risk in their portfolios.
Quant Desk, Lucena’s flagship product, provides advanced, yet affordable, cloud-based portfolio optimization tools designed to scientifically validate and augment our clients' investment strategies. The product includes five portfolio management modules - Price Forecaster, Portfolio Optimizer, Hedge Finder, Event Analyzer and Back Tester. Lucena also provides investment strategies in the form of model portfolios from which customers can derive their own implementation.
Headquartered in Atlanta GA, Lucena supports a wide range of investment professionals worldwide. To learn more about Lucena, please visit http://www.lucenaresearch.com or email us at: info(at)lucenaresearch(dot)com
About PsychSignal
PsychSignal is a privately-held Delaware Corporation which works with hedge funds, trade execution platforms, chart platforms, investment advisory firms, and traders, to deliver innovative solutions and licensable public opinion data mining data feeds & web applications to the investment community. Please visit us online at: http://www.psychsignal.com, or email us at: media(at)psychsignal(dot)com
Erez Katz, [email protected], http://www.lucenaresearch.com, 404-907-1702 Ext: 101, [email protected]
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