Crediblock is a market platform for the people interested in forex, crypto and other markets.
It is a convenient resource to find actual trades, quotes, exchange rates, last trade for crypto pairs,
view charts and so on.
CREDIBLOCK
Crediblock is a market platform for
the people interested in forex, crypto and other markets. It is a convenient resource to find actual trades, quotes, exchange rates, last trade for crypto pairs, view charts and so on.
CREDIBLOCK
The Platform allows users to get actual market information in a convenient way and customize views according to the user's goals (hide and unhide certain fields). Crediblock is meant to attract new customers to LevelX and promote LevelX Finance (iOS) and LevelX Finance (Android) apps.
The Platform allows users to get actual market information in a convenient way and customize views according to the user's goals (hide and unhide certain fields). Crediblock is meant to attract new customers to LevelX and promote LevelX Finance (iOS) and LevelX Finance (Android) apps.
The Platform allows users to get actual market information in a convenient way and customize views according to the user's goals (hide and unhide certain fields). Crediblock is meant to attract new customers to LevelX and promote LevelX Finance (iOS) and LevelX Finance (Android) apps.
ABOUT THE CUSTOMER
ABOUT THE CUSTOMER
LevelX is a leading provider of execution, clearing, settlement and technology services to the global financial services industry, serving over 100 correspondents and one million customer accounts. In addition to their superior execution services, their range of offerings include sophisticated margin and option capabilities, cash management services, retirement plans, mutual funds and trade processing support.
LevelX is a leading provider of execution, clearing, settlement and technology services to the global financial services industry, serving over 100 correspondents and one million customer accounts. In addition to their superior execution services, their range of offerings include sophisticated margin and option capabilities, cash management services, retirement plans, mutual funds and trade processing support.
CHALLENGES
We have to display data in different large tables according to project specific nature. It has an effect on the project performance.
Virtualized tables
ISS developers used a react-virtualized library that allows representing the data in tables without the loss of the performance.
Solution
We have to display data in different large tables according to project specific nature. It has an effect on the project performance.
Virtualized tables
ISS developers used a react-virtualized library that allows representing the data in tables without the loss of the performance.
Solution
As far as the project nature was about representing the large tables, correct work on the screens with the resolution less than FullHD wasn’t by design in the project initially. But we understand that the solution is used frequently on the small screens. It resulted in problems with the content displaying.
Adaptive design
Our frontend developers have implemented the responsive design without according Figma design templates for the screens with the resolution less than FullHD.
Solution
As far as the project nature was about representing the large tables, correct work on the screens with the resolution less than FullHD wasn’t by design in the project initially. But we understand that the solution is used frequently on the small screens. It resulted in problems with the content displaying.
Adaptive design
Our frontend developers have implemented the responsive design without according Figma design templates for the screens with the resolution less than FullHD.
Solution
It was impractical to store data from the Polygon in an object-relational database (for example, PostgreSQL) - there were too many of them and some of them were not static - expired immediately after several accesses or at a specific time.
Data caching
We decided to use Redis as a NoSQL database with nesting and clearing logic for certain key patterns for certain dates or events.
Solution
It was impractical to store data from the Polygon in an object-relational database (for example, PostgreSQL) - there were too many of them and some of them were not static - expired immediately after several accesses or at a specific time.
Data caching
We decided to use Redis as a NoSQL database with nesting and clearing logic for certain key patterns for certain dates or events.
Solution