Datawatch and OneMarketData Launch SocialSandboxTM: the Financial Trading Industry’s First Alpha Discovery Platform for Social Media

Chelmsford, Mass., September 29, 2014—Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery solutions, in collaboration with OneMarketData, the leader in Complex Event Processing (CEP), financial tick data management and analytics, and Social Market Analytics, have developed a new solution geared towards extending traders’ ability to find alpha.

 

The new SocialSandbox is a hosted platform that allows buy- and sell-side traders to identify, measure and back-test social media scores together with market data. Sentiment scores are provided by Social Market Analytics, combined with OneTicks’s market data in their CEP engine and then visualized through Datawatch’s visual data discovery software.

 

SocialSandbox improves analytics by revealing insights from social media data where the content is constantly evolving, according to OneMarketData founder and CEO Leonid Frants. “The market continues to explore the potential of this data, but not without significant costs and efforts related to research and data administration. SocialSandbox eliminates the tasks of loading and aligning the necessary reference, time series and social sentiment data, and providing visual and statistical analytics to enable alpha discovery,” he said.

 

OneTick, the industry-leading solution for time series analytics, provides the database and stream processing engine used to generate the analytics. The data is presented as a series of Sentiment Study dashboards including “Top-ranked by social sentiment,” “Sentiment to market benchmarks,” (e.g. Open, Returns, etc.) and many others.

 

Datawatch Desktop provides the visual data discovery platform. The technology enables traders, analysts, quants and other organizations, such as hedge funds and pension funds to access all kinds of information– including unstructured social media data – and combine with market data to visually identify trends, spot outliers and uncover new revenue opportunities in real time. In this case, social media scores, provided by Social Market Analytics, are overlaid against market prices.

 

“Capital markets around the world increasingly rely on visual data discovery to make smarter, faster decisions and outperform the competition,” said Ben Plummer, chief marketing officer and senior vice president, Strategic Alliances. “Incorporating social media data into their analysis will enable them to better understand what the ‘buzz’ is all about regarding fast moving market makers.”

 

Monthly subscription pricing information is available to subscribers at: www.socialsandbox.onetick.com.

 

About OneMarketData

OneMarketData provides market data management and analytical solutions that enable financial institutions to outmaneuver the competition by executing new trading strategies faster. Through its flagship product OneTick, the only solution that event stream   processing and tick       data

 

management spanning both historical and real-time, quants, analysts and traders can enhance alpha and increase performance through superior data management. Through its intuitive, performance-driven design, OneTick users benefit from an enterprise system that was built by Wall Street experts to address the sophisticated data analysis needs of the most discerning financial institutions. More information is available at www.onetick.com.

 

About Datawatch Corporation

Datawatch Corporation (NASDAQ-CM: DWCH) provides visual data discovery software that optimizes any data – regardless of its variety, volume, or velocity – delivering next generation analytics to reveal valuable insights for improving business. Its unique ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files and EDI streams with real-time streaming data into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data sets Datawatch apart in the big data and visualization markets. Organizations of every size, worldwide use Datawatch products, including 99 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide. See the Whole Story for yourself by downloading the free trial at datawatch.imarc.io/free-trial.

 

About Social Market Analytics

Social Market Analytics is a Chicago-based start-up that now provides active individual and institutional investors (banks, hedge funds, brokerages) with streaming up-to-the-minute social media quantification and analysis that can help users outperform the market. Its patent-pending technology has consistently proved that the tweets of professional traders can help both institutional and individual traders outperform the market. SMA was selected by NYSE and Markit to provide their members access to reliable, up-to-the-minute social data sentiment signals. More information is available at www.socialmarketanalytics.com.

 

 

Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995

Any statements contained in this press release that do not describe historical facts may constitute forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Any such statements, including but not limited to those relating to results of operations, contained herein are based on current expectations, but are subject to a number of risks and uncertainties that may cause actual results to differ materially from expectations. The factors that could cause actual future results to differ materially from current expectations include the following: risks associated with the continuing weak global economy; risks associated with fluctuations in quarterly operating results due, among other factors, to the size and timing of large customer orders; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies and the acquisition of Panopticon; the volatility of Datawatch’s stock price; limitations on the effectiveness of internal controls; rapid technological change; Datawatch’s dependence on the introduction of new products and possible delays in those introductions; competition in the software industry generally, and in the markets for next generation analytics in particular; Datawatch’s dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales and operations; risks associated with indirect distribution channels and co-marketing arrangements, many of which were only recently established; the adequacy of Datawatch’s sales returns reserve; risks associated

 

with a subscription sales model; Datawatch’s dependence on its ability to hire and retain skilled personnel; disruption or failure of Datawatch’s technology systems that may result from a natural disaster, cyber-attack or other catastrophic event; and uncertainty and additional costs that may result from evolving regulation of corporate governance and public disclosure. Further information on factors that could cause actual results to differ from those anticipated is detailed in various publicly-available documents, which include, but are not limited to, filings made by Datawatch from time to time with the Securities and Exchange Commission, including but not limited to, those appearing in the Company’s Annual Report on Form 10-K for the year ended September 30, 2013 and Forms 10-Q for the quarters ended December 31, 2013, March 31, 2014 and June 30, 2014. Any forward-looking statements should be considered in light of those factors.

 

 

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Investor Contact: Datawatch Investor Relations investor@datawatch.com

Phone: (978) 441-2200 ext. 8323

 

Media Contact:

Sarah Bernardi Datawatch Corporation

Sarah_Bernardi@datawatch.com Phone: (978) 441-2200 ext. 8387

Twitter: @datawatch

 

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