Development of High-Performance Real-Time Stock Data Filtering System for Skilled Traders

The client faces difficulties in providing traders with fast, relevant stock market data insights due to handling massive and diverse datasets, causing delays from data source to visualization and hindering timely decision-making. There is a need for an optimized system enabling traders to refine data filters and view only pertinent information in real-time.

A large financial institution specializing in trading and investment services, requiring advanced data filtering to support experienced traders with real-time market insights.

• Reduce data transmission latency from market data sources to trader dashboards from approximately 20 seconds to below 1 second.
• Enable real-time processing and visualization of up to 1 million stock tickers with the capability to handle around 10,000 ticker updates per second.
• Develop a customizable filtering interface that allows traders to refine stock data based on categories such as price, risk, changes, and analytics.
• Create a responsive desktop application acting as a trader blotter with efficient trigger-based data updates, improving decision-making speed and accuracy.

• Dynamic multi-criteria stock data filtering system with real-time updates.
• Visualization components including charts and lists reflecting filtered stock information such as prices, risks, and analytics.
• Trigger-based data refresh mechanism to update only relevant data segments upon changes.
• User-configurable filters to customize data views by stock category, performance metrics, etc.
• High-volume data processing capability supporting up to 1 million tickers and 10,000 updates per second.

• Market data feeds providing real-time ticker information
• Data analytics and risk assessment modules
• Possibly existing trading platform interfaces for seamless data exchange

• Achieve data transmission latency of less than 1 second from source to display
• Ensure system can process and display data for approximately 1 million stock tickers
• Handle a minimum of 10,000 ticker updates per second with minimal latency
• Robust system scalability and reliability to support continuous high-volume data flow
• Secure data handling compliant with financial industry standards

Implementation of this real-time, high-capacity data filtering system will significantly enhance traders' ability to make rapid, informed decisions by reducing data latency from 20 seconds to under 1 second. The system will support processing of up to 1 million stock tickers with 10,000 updates per second, resulting in improved trading efficiency, better risk management, and increased competitive advantage in the financial trading environment.