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Tradiny is a real-time stock market analytics and monitoring platform designed to help traders, investors, and financial analysts make informed decisions.
Client
Tradiny
Industry
Trading
Tradiny is a real-time stock market analytics and monitoring platform designed to help traders, investors, and financial analysts make informed decisions. The platform provides live market data, intraday charts, and historical trends by integrating directly with data providers through APIs.
The primary objective of the platform is to offer accurate, high-speed streaming financial data with a clean and interactive front-end interface, making market insights more accessible and intuitive.
The project demanded handling complex data processing, real-time performance stability, and strict API limitations. Addressing these challenges was key to ensuring a smooth, high-performing user experience.
High-frequency data streams causing performance delay Solution: Β Implemented efficient caching and data batching in Python backend
Maintaining smooth chart updates in real-time Solution: Used optimized rendering techniques in React with controlled state updates.
Handling API rate limits Solution: Designed throttling & retry logic to ensure seamless data continuity
Device Connectivity & Management: Secure communication between devices and cloud systems. Remote provisioning, monitoring, and firmware updates.
Real-Time Data Collection & Processing: Streamed IoT data pipelines using AWS-managed services. Automated data cleaning, processing, and storage workflows.
Analytics & Insights: Performance dashboards to monitor usage trends. Alerts and notifications for critical device behavior or threshold breaches.
Cloud-Native Architecture: Highly scalable infrastructure built using AWS services. Support for future device additions and increased data load.
Cloud-Native Architecture: Highly scalable infrastructure built using AWS services. Support for future device additions and increased data load.
This approach focused on keeping things simple, reliable, and ready to grow with Aftom AI needs.
Provided real-time insights into device performance and usage patterns.
Reduced manual workload with automated and centralized device management.
Enabled smarter maintenance and customer service strategies using actionable analytics.
Supported thousands of connected devices seamlessly without compromising system performance.
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