Ticker Data Processing Application

Project Info -

Developed an advanced application called "Ticker" to process ticker data and validate complex combinations with high accuracy. The project involved receiving CSV files containing ticker data and their respective combinations, which were structured into a database based on Excel templates. Using Python, the application executed multiple steps to compute and validate combinations, ensuring alignment with the ticker data for precise analytics. The solution was deployed on a Linux server, providing a robust, scalable, and automated environment for real-time data processing. This comprehensive system enhances reliability, efficiency, and scalability for handling large datasets and intricate validations.