The Scopic Solution

The Scopic team set about creating this application from scratch by using a few programming languages like RubyOnRails, C++, and MySQL. Our team fully developed this stock analysis software to follow and analyze stock markets based on cumulative and live data. Even though the backend is complex, the UI design is user-friendly and aesthetically pleasing with the addition of 2D charting.

By integrating the app with institutional data providers and leading financial brokerages, we created a functionally superior tool that would not only display live stock market stats, but would also be able to predict hot stocks for traders.

The Scopic Solution

A light web version of a desktop application was designed for users to monitor stocks with full feed from the NASDAQ stock market. The web version was created by Scopic’s team from scratch to allow users to connect their real trading accounts through the application and trade on the market. Depending on the type of subscription, users may have different widgets available. Oracle, one of the most popular widgets available on the web version, uses algorithms to predict hot stocks for day traders.

In addition to Oracle, Scopic used several AWS solutions to implement the light web version. This included AWS ECS for application deployment and storage, AWS ElastiCache to reduce external data requests, and AWS Lambda & API Gateway for cost-effective serverless scaling. Data integrity and security are key to this type of application. To ensure the reliability of the database, we used AWS RDS with PostgreSQL and we further enhanced the security of the database by enabling encryption and leveraging the AWS KMS (Key Management Service), along with other measures that ensured robust protection. Cloudwatch configuration was also a requirement in this ever-changing domain, allowing us to track, troubleshoot, analyze system activity, and make strategic technical decisions.

The result was a notable reduction in server load, improved response times, enhanced security, and a scalable, cost-effective infrastructure. StocksToTrade now offers traders a resilient, secure, and scalable platform for efficient market analysis.

The Scopic Solution

The Scopic team set about creating this application from scratch by using a few programming languages like RubyOnRails, C++, and MySQL. Our team fully developed this stock analysis software to follow and analyze stock markets based on cumulative and live data. Even though the backend is complex, the UI design is user-friendly and aesthetically pleasing with the addition of 2D charting.

By integrating the app with institutional data providers and leading financial brokerages, we created a functionally superior tool that would not only display live stock market stats, but would also be able to predict hot stocks for traders.