Panopticon 16.7 offers improved handling of time series data and large data sets, and new visualization capabilities

Panopticon 16.7 offers improved handling of time series data and large data sets, and new visualization capabilities

The new features and functions incorporated into the 16.7 release of Panopticon fast analytics software were all requested by our capital markets clients. The key changes include improvements in  data connectivity, a new data pipeline, new and enhanced visualizations, and improved analysis features.

Connectivity: Panopticon continues to expand its real time data visualization capabilities with the addition of native connectivity to the Solace low latency message bus. Users can also subscribe to messages in the Solace message map format as well as messages in delimited text, XML, or JSON formats. We’ve also updated all of our message bus connectors (JMS, RabbitMQ, and Kafka)  to support time parsing based on ticks since midnight, which in the last release was specific to Solace connectivity. In addition, we’ve improved connectivity for MongoDB and the OneTick in memory time series database and CEP engine, including support for the OneTick client API version 1.17 for improved query execution.

Data Processing: Panopticon 16.7 incorporates improved auto-conflation functionality that allows users to specify the number of samples to be returned. Based on a user-defined time window, the software will conflate the selected data automatically, allowing people to efficiently investigate time series while optimizing interactively and minimizing bandwidth and latency.

Data Visualization 

Panopticon 16.7 adds two new time series visualizations and adds new capabilities to several existing ones.

Pricing Bands: We have a new visualization designed to display pricing bands like Bid Offer spreads. The visualization is useful in all high liquidity asset classes. The Pricing Bands visualization can display data from multiple liquidity providers, and uses color and partial transparency to make overlapping spreads and outliers easier to spot.

Order Book: The new Order Book visualization builds on new data pipeline features introduced in the past several versions of the software. This new visualization can display price depth data, including how long an order is active, the price, tick size, and order size. This makes it easy to see the exact order book distribution across a given time range, and to investigate book imbalances and order price/size anomalies.

Line Graph with Alpha: We have added new functions to the Line Graph, including a setting for Alpha that allows lines to include variable degrees of transparency. This enables users to identify periods when lines occlude each other, which is typically the case when comparing bid offer spreads across multiple venues.

Map Plot: We have updated the Map Plot to improve handling of background map tiles. These are now faded into monochrome, which emphasizes geospatial data rather than the background map.

Treemap: This venerable visualization now supports icons and an icon legend function. For example, a user can display broker recommendations for each asset being traded using an icon.


The new release incorporates several large and small improvements that make it easier and more efficient for users to interact with visual displays. The changes also reduce CPU and memory load on the client and the server and enable users to efficiently interact with HTML5 trading blotters with hundreds of thousands of orders. For example, the new Virtual Table mode enables the web browser to receive only the rows needed to complete the current display; as the user explores a large data set, the system automatically fetches only the data required at any given time.


We expect 16.7 to be the last 16 series release. Version 17, which will incorporate CEP capabilities, will be out later this year.