This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Real-Time Advanced Stock Market Filtering Platform for Professional Traders

gloriumtech.com

Financial services

Information technology

Challenges in High-Performance Stock Market Data Processing

Existing trading platforms struggle with slow data transmission (20-second latency), inefficient handling of massive datasets (1M+ tickers), and inadequate real-time filtering capabilities, leading to delayed trading decisions and information overload for professional traders.

About the Client

A US-based fintech company providing trading solutions for financial institutions

Goals for Enhanced Market Data Platform

Reduce data processing latency to sub-second levels
Implement real-time customizable filtering mechanisms
Improve system scalability to handle 10,000+ ticker changes per second
Enhance trader decision-making through targeted data visualization

Core System Functionalities

Customizable multi-dimensional stock filters (category/risk/price)
Dynamic real-time market data charts
Event-driven data synchronization engine
High-volume ticker management dashboard

Technology Stack Requirements

Java

Redis

WPF

System Integration Needs

Market data API feeds
Enterprise authentication systems
Cloud-based scalability infrastructure

Performance and Scalability Criteria

Sub-1-second data transmission latency
Support for 1M+ concurrent tickers
99.99% system availability
Role-based access control security

Expected Business Impact of Real-Time Market Filtering

Implementation will enable traders to process market data 20x faster, reduce decision-making latency by 95%, and handle institutional-grade trading volumes while maintaining optimal system performance, resulting in improved trading outcomes and competitive advantage in fast-paced market environments.