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Lucena Research raises $1m in oversubscribed financing rounds

Wednesday, March 06, 2013
Opalesque Industry Update: Lucena Research, a provider of investment decision support technology to RIAs, small hedge funds and other sophisticated investors, announced that it has raised $1.025 million in two seed financing rounds. The investor list includes a hedge fund and a registered investment advisor that were instrumental in piloting Lucena’s QuantDesk software in late 2012. A group of angel investors also participated in the funding rounds including a senior executive who spent the past 20 years leading one of the world’s largest global wealth management service providers.

A pioneer in machine learning quantitative analysis, Lucena Research provides an innovative approach to price forecasting, portfolio optimization and hedging techniques. Derived from statistical forecasting, QuantDesk™ adapts to over 200 fundamental, technical, and proprietary time series indicators to help investment professionals with their ongoing investment decisions. QuantDesk™ is capable of constructing self-adjusted predictive models geared to exploit market opportunities and scientifically validate and support clients’ investment strategies and goals. Using Lucena’s pattern matching algorithms and portfolio replication methods, investment professionals can exploit market opportunities while also reducing risk in their portfolio.

“We are extremely pleased with the level of interest we were able to garner in such a short time. We are also thrilled with the level of professional pedigree we were able to attract as investors backing Lucena,” said CEO Erez Katz. “The high participation of industry experts who professionally specialize in wealth management is a testament to our unique value proposition and prospective growth. We are committed to deliver substantial value to our customers and consequently to our investors by providing powerful products and services geared to empower our clients with the latest advancements in machine learning and computational finance.”

Lucena Research

Press Release

BM

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