Datawatch Panopticon 16.6 Extends Data Access Options with Solace Connectivity and Order Book Reconstruction
Traders, analysts, quants and compliance officers benefit from improved data monitoring and faster analysis of trading effectiveness
BEDFORD, Mass. – March 19, 2018 – Datawatch Corporation (NASDAQ-CM: DWCH) today announced the general availability of Datawatch Panopticon 16.6. The new version incorporates numerous changes requested by the company’s electronic trading customers to give users easier data access and faster methods for deploying and using the software’s analytical capabilities.
Major buy-side and sell-side firms and exchanges in financial centers around the world use fast analytics to improve profitability and perform analysis related to market microstructure, spread and liquidity, trading flow, order and execution, and conduct quantitative analysis leveraging their existing predictive R & Python models.
Peter Simpson, vice president of visualization strategy at Datawatch Panopticon, stated: “Our high frequency trading customers across all asset classes continue to drive improvements in Panopticon’s real-time trade flow monitoring and time-series investigation capabilities. This release leverages their investments in low latency messaging and their underlying data fabric for storing and analyzing orders, executions, and prices. Whether working on trading or compliance, analysts and quants have vast amounts of data to wade through. This release builds on our work and best supports our customers need for getting fast access to data, analyzing problems quickly and making timely execution decisions.”
New capabilities in Panopticon 16.6 include:
- Natively subscribe to real-time streams from the Solace low latency message bus
- Order book reconstruction and visualization across time from underlying historic data
- Enhanced visual screening of real time, intra-day and historic trading flows
- Enhanced web client and server performance and reduced network bandwidth consumption
- Improved desktop caching to better visualize data from slow underlying data repositories
Simpson continued: “We’ve seen continuing convergence in the analytics requests from trading and compliance desks. The compliance desks tend to be less time urgent than the trading desks, but the analysis processes required for order books and trading strategy performance is very similar. They ask the same performance questions, just from the different perspectives of profitability versus regulatory compliance.”
To learn more about Panopticon 16.6, visit: www.panopticon.com, or call 978-441-2200.
Leading capital markets firms rely on Panopticon from Datawatch for faster analytics of real-time streaming and time series data. The powerful combination of fast data access through real-time streaming connectivity, rapid data understanding through visual analysis, faster investigation through time series analysis and playback down to the individual tick, and speedier action, supports organizations in making faster, more informed decisions that have an immediate financial impact. For more information about Panopticon and how it has been deployed at customers in time critical areas across trading, risk, compliance, trading operations and asset management, please visit: www.panopticon.com
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please visit: www.datawatch.com.
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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 contained herein, including but not limited to those relating to product performance and viability, 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: rapid technological change; Datawatch’s dependence on the introduction of new products and product enhancements and possible delays in those introductions; acceptance of new products by the market, competition in the software industry generally, and in the markets for next generation analytics in particular; and Datawatch’s dependence on its principal products, proprietary software technology and software licensed from third parties. 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, 2015. Any forward-looking statements should be considered in light of those factors.
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Vice President Worldwide Marketing, Datawatch Corporation
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