Demo: Working with Dynamic Schemas

Panopticon Workbooks are based on a underlying data structures with schemas that we then bring to the screen with a range of data visualizations. We can define dynamic schemas that allows users to enter variables directly into a Panopticon Dashboard, which then modifies the schema to alter the display as required by the user.

Demo: Add Annotations to Time Series and Static Data Sets

This video demonstrates how to configure the Panopticon visual analytics platform to allow users to add annotations of any type to database records, including data points at a specific time stamp in a time series database.

Demo: Best Practices for Using OneTick with Panopticon

This video demonstrates how Panopticon supports connectivity to OneTick for queries of time series data as well as subscriptions to real time streaming data from the OneTick CEP engine.

Demo: Saving Context and Queries to a Kx kdb+ Database

The video demonstrates how to save and delete queries, data, and other context to and from a Kx kdb+ database using the Panopticon visual analytics platform.

Demo: Best Practices for using Kx kdb+ with Panopticon

This tutorial describes in detail the best approaches for using Panopticon to visualize real time streams and time series data emanating from Kx kdb+ Tick and kdb+.

Demo: Connect to Kx kdb+

This tutorial explains all the steps required to connect to kdb+tick real time streams and to kdb+ databases.

Demo: Build Kafka-enabled HTML5 Trading Analytics Dashboard with No Coding

Learn how to build a real-time streaming visual trading analytics dashboard in just a few minutes. Panopticon supports drag-and-drop construction and configuration and no coding is required. The system can connect natively to Apache Kafka streams with no middleware required. Users can monitor and analyze trading volume, prices, executions, peer comparisons, systemic performance, and look for unusual activity using data visualizations optimized for use in Capital Markets applications.

Explainer Video: Quick Introduction to Capital Markets Use Cases for Panopticon Fast Analytics

Major buy-side and sell-side firms and exchanges in financial centers around the world use Panopticon fast analytics to improve profitability and perform: Market Microstructure Analysis Spread & Liquidity Analysis Flow Analysis Order & Execution Analytics Conduct quantitative analysis using R and Python. With Panopticon, traders can spot anomalies in seconds, investigate in minutes, and take immediate action. Fast analytics gives firms doing high frequency trading an edge in terms of profitability, whether they are…

Demo: Subscribe to, Join Streams, Publish to & Define Limits with Apache Kafka

This video demonstrates how to subscribe to multiple pricing and reference data streams managed by Apache Kafka, how to join streams, and how to publish data back to a Kafka topic. It goes further and shows how to build a Kafka-powered Panopticon visual analytics dashboard to alert uses to breaches for particular instruments and to update and monitor trading limits.

Demo: Connect to Apache Kafka

This video demonstrates how to: Connect to a Kafka bus Choose whether to use the Confluent Schema Repository Process messages in Avro, JSON, XML, and Text Subscribe to Latest or History Filter subscriptions Author in Panopticon Designer and publish to the web Generate HTML5 real-time streaming dashboards without coding…