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Panopticon 16.5 Delivers New Nanosecond-level Analytics Optimized for Electronic Trading Firms

Latest version makes it easier for capital markets firms to comply with MiFID II/MiFIR and enhances support for Apache Kafka

BEDFORD, Mass. – November 1, 2017 – Datawatch Corporation (NASDAQ-CM: DWCH) today announced the general availability of Panopticon 16.5. The latest version of the Panopticon real-time visual analytics platform represents a major advance in capabilities designed to help capital markets firms operate more efficiently and profitably.

Many of the world’s largest investment banks, hedge funds, asset managers and mid-tier firms rely on Panopticon to monitor equity, fixed income and foreign exchange trading activity as well as visually backtest trading algorithms. The platform also enables users to identify anomalies during the trading day to take immediate action – eliminating reliance on end-of-day reports.

Peter Simpson, vice president of visualization strategy at Datawatch, stated: “We’ve worked closely with our customers over the past year to develop and refine several new analytics techniques. In particular, we’re now better than anyone else in the market at integrating real-time streams, and time series of orders and executions – down to the nanosecond level – on the screen to identify and then investigate trading anomalies. We’ve also improved our connectivity to a wider variety of data sources, including Apache Kafka, which many of our clients are deploying as a critical component of their trading performance infrastructures.”

New capabilities in Panopticon 16.5 include:

- The ability to connect to Elastic, InfluxDB, Spark and RabbitMQ data sources.
- Faster and more robust connectivity for Apache Kafka, MongoDB, TREP-RT, Kx kdb+, Kx kdb+ Tick, SAP ESP, Web Sockets, JSON, Apache Cassandra, RESTful Calls, XMLA and MDX.
- New visualizations, including Waterfall, Funnel, Donut Gauge and Time Surface, plus enhancements to Panopticon’s complete visualization library, which facilitates faster analysis of trading data.
- Performance improvements, which results in reduced bandwidth consumption for web-based users, a more responsive web client and improved PDF reporting.

Simpson continued: “There are many use cases for Panopticon, but a few recent examples that demonstrate the ROI that can be achieved include a global bank that expanded its utilization of Panopticon to improve MiFID II Best Execution compliance by incorporating trading analytics and surveillance of its FX, fixed income, equities and derivatives trading operations; a major multi-asset class exchange now using Panopticon to support regulatory reporting and analytics; and one of the top five asset managers who is backtesting portfolio allocation algorithms using Panopticon.”

To learn more about Panopticon 16.5, visit:, or call 978-441-2200.

About Panopticon

Leading Cap 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:

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:

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 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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Media Contact:

Frank Moreno
Vice President Worldwide Marketing, Datawatch Corporation
[email protected]
Twitter: @datawatch

© 2017 Datawatch Corporation. Datawatch and the Datawatch logo are trademarks or registered trademarks of Datawatch Corporation in the United States and/or other countries. All other names are trademarks or registered trademarks of their respective companies.