Dec 07, 2023
No image
Completed
Transcend
$50,000+
7-12 months
United States
6-9
Service categories
Service Lines
Web Development
Domain focus
Other
Challenge
The main challenge here was to achieve top-notch application performance and speed as the application was designed to deal with massive amounts of different data types. The project required close collaboration between backend and frontend development to quickly synchronize data changes. Another challenge was to develop filters so traders could refine data and see only relevant stock information by category, in real-time.
The main challenge here was to achieve top-notch application performance and speed as the application was designed to deal with massive amounts of different data types. The project required close collaboration between backend and frontend development to quickly synchronize data changes. Another challenge was to develop filters so traders could refine data and see only relevant stock information by category, in real-time.
Solution
Glorium developed a customizable desktop application that acts as a blotter for trader tasks and reacts to triggers only with relevant data changes. The application now provides a chart with multiple filters that reflect stock data with prices, risks, changes, analytics, etc. Thanks to this, traders can now compile filters and monitor only relevant lists of stocks.
Glorium developed a customizable desktop application that acts as a blotter for trader tasks and reacts to triggers only with relevant data changes. The application now provides a chart with multiple filters that reflect stock data with prices, risks, changes, analytics, etc. Thanks to this, traders can now compile filters and monitor only relevant lists of stocks.
Results
As a result, we have reduced the speed of data transmission (from the initial data source to the visualization on a trader’s dashboard) from 20 seconds to 1 second. Additionally, the system can now easily process around 1 million tickers and handle around 10 000 ticker changes per second.
As a result, we have reduced the speed of data transmission (from the initial data source to the visualization on a trader’s dashboard) from 20 seconds to 1 second. Additionally, the system can now easily process around 1 million tickers and handle around 10 000 ticker changes per second.