Explainer Video: Introduction to Panopticon Streams

Panopticon Streams is the stream processing engine that works with Panopticon Visual Analytics software to form the Panopticon Streaming Analytics platform. Streams connects directly to a wide range of streaming and historic sources, including Kafka, and supports these critical functions: Real-Time Data Prep: Combines streaming data with historic data Calculation Engine: Calculates performance metrics based on business needs Aggregation Engine: Aggregates data as needed Alerting Engine: Highlights anomalies against user-defined thresholds Built for…

Demo: Monitor ATM Performance

This video demonstrates how to use visual analytics to monitor performance and profitability of a network of ATM machines. The system can monitor the number of transactions for each machine and identify machines that underperforming due to lack of supplies, paper, failed transactions, and/or funds. The dashboards also utilize real time data from the ATM network to help managers identify cases of potential fraud, including card cloning.

Demo: Monitor & Analyze Forex RFQs and Hit Ratios

Panopticon enables FX traders and managers to analyze hit ratios and RFQs based on real time streaming data. They can also look back at historical data on a transaction-by-transaction basis to investigate whether a problem is a one-off or part of a trend.

Demo: Monitor & Analyze Forex Prices Spreads and Skews

In this demonstration, we analyze and monitor forex spot data in terms of prices, spreads, skews, and number of updates. The system utilizes real time streams of FX trading data and presents it on the screen using several advanced visualizations, including Treemaps, Heatmaps, and Scatter Plots, as well as time series data displays that support investigation into trends.

Demo: Monitor & Analyze Forex Prices in Real Time

Forex traders use Panopticon to analyze movements of a range of currency pairs in real time – down to the microsecond level if necessary – to determine whether to buy or sell a currency pair at any given time. Traders can visualize a time series for blocks of time or examine current pricing and make useful comparisons based on real time streaming feeds.

Demo: Analyze Futures Trading Profit & Loss in Real Time

Panopticon enables traders to monitor and analyze profit and loss data in a futures trading operation, including real time, intraday, and historic P&L. The system also allows users to play back through a history of trades in order to perform visual backtesting of trading algorithms and strategies.

Demo: Monitor & Analyze Fixed Income RFQs and Hit Ratios in Real Time

Traders and managers can see real time data on FI RFQs and Hit Ratios to identify where problems lie quickly enough to take action during the trading day.

Demo: Fast Visual Analytics for Trading & Risk Data

Panopticon makes it possible to identify outliers and anomalies very quickly in massive amounts of real-time and historical trading data. The tool is designed specifically for Capital Markets applications and major firms all over the world use it to improve profitability, manage risk, monitor trading activity, detect fraud, and perform other critical functions related to trading instruments of all types.

Demo: Visualize your Order Book with Full Depth

Panopticon enables traders to visualize their Order Books at full depth. While looking at Top of Book to see the spread across time is useful, traders can’t see what’s happening at depth unless they use much more sophisticated visualizations, as demonstrated in this video. Viewing full depth stats across a selected period makes it easy to understand what is actually happening with trades. Traders can group depth into multiple buckets (in this example, ten…

Demo: Monitor Equity Trading Activity in Real Time

This video tutorial shows how real time-enabled visual analytics improve the efficiency and accuracy of monitoring trading activity in equity markets. Traders and managers can identify potential threats to profitability and take action immediately during the trading day, rather than wait for an end-of-day report.