Tech Stack
- .Net core
- Angular
- Azure cloud
- Bootstrap
- jQuery
- MySQL
- Power BI
- Python
About Client
The client is a renowned online stock and derivatives trading company which deals in online portfolio management and investment schemes for its registered users.
About Product
Intensive usage of pioneering technologies like PODS through the implementation of advanced AJAX resulted in a feature-rich site providing a high level of customization. The site continuously displayed dynamic content through the inclusion of RSS feeds which involved interacting with third-party providers, parsing a variety of content, queuing, and presenting this content to users. Streaming video content completely with a sound ON/OFF feature was provided to alert users about the stock-related information. These videos were stored and streamed through ‘User Plane’. A robust framework ensured smooth performance despite the heavy use of brand new technologies employed through Advanced AJAX among others. Web usability guidelines were strictly followed during development and the interface was made easily navigable through the judicious use of AJAX, CSS and HTML controls.
Load Balancing:
Harmonizing the simultaneous execution of various integrated features and options while maintaining consistent load balance
A reverse proxy was used to spread the traffic across multiple servers, while also providing additional features such as routing, caching, and SSL encryption.
Solution
The Challenges
Result
- Improved ScalabilityLoad balancing helped to ensure that the web portal is able to scale up or down as necessary, as it distributes traffic across multiple servers. This helped to ensure that your web portal can handle sudden spikes in traffic or increased demand.
- Increased EfficiencyStreamlined processes and improve the efficiency of operations. By having all the relevant information in one place, it can be quickly accessed and used to make informed decisions.
- Identify opportunitiesProvided an easy way to quickly understand the trends and performance of stocks in the online trading and investing world. Through visualizing large amounts of data, investors can quickly and easily identify patterns, correlations, and trends in the stock market. THelped make more informed decisions on when to buy and sell stocks. By visualizing stock data, investors can get an overview of the current state of the market and compare different stocks to identify the best investments.
- Helped identify potential risk factorsDescriptive analytics can helped to identify customer segments and target marketing campaigns more effectively. This can help to maximize the return on marketing investments and provide insights into customer preferences and behavior. Furthermore, helped to identify potential risk factors, such as customer churn or fraud, and develop strategies to mitigate these risks.