Algorithmic Trading Monitoring System

Project Goal

Enable real-time monitoring of algorithmic trading bots for Lumiwealth's users.

Background

Lumiwealth is a fintech company based in the USA, specializing in algorithmic trading for the stock and crypto markets. Their platform provides trading bots that automatically trade on behalf of users during trading hours. As the number of users and bots increased, Lumiwealth recognized the need for a new system that allowed users to monitor the status of their bots in real time. The system required secure API management, validation of bot statuses, and scalable storage for portfolio data.

Challenge

The new system had to meet several key objectives:

 
• Scalability: As Lumiwealth’s user base grew, the system needed to handle increasing traffic without performance degradation.
 
• Security: The trading bots needed secure way to communicate with the application.
 
• Real-time updates: Users expected real-time updates about their bots’ performance.
 
• Cost-efficiency: Lumiwealth required a cost-effective solution that could scale with demand.

Solution

To address Lumiwealth’s needs, AI Point implemented a serverless architecture leveraging AWS services. The solution was designed around key components that ensure seamless bot orchestration, secure communication, and scalable data handling.

The system includes an automated process for generating and managing API keys, enabling secure interaction between trading bots and the application. Portfolio statuses sent by the bots are validated and securely stored in a database built for real-time access and scalability. The architecture enables both real-time status updates for users and efficient retrieval of data upon request.

By utilizing serverless components, the system remains highly scalable, secure, and cost-efficient, while delivering the real-time functionality required by Lumiwealth’s customers.

Benefits

 
• Scalability: The serverless architecture allows Lumiwealth to scale effortlessly as the number of users and bots grows, with no infrastructure management required.
 
• Security: The new architecture ensures secure communication between the trading bots and the application.
 
• Cost-Effective: By utilizing Serverless Architecture, the system minimizes operational costs while providing reliable and real-time performance.
 
• Enhanced User Experience: Users now have real-time visibility into the performance of their trading bots, improving overall engagement and satisfaction.

Outcome

The new system has enabled Lumiwealth to better manage its trading bots, providing a secure and scalable platform that improves the visibility of bot statuses for users. This implementation showcases how serverless architectures can help fintech companies like Lumiwealth bring ideas to life efficiently and cost-effectively, without worrying about scaling or infrastructure maintenance.

‍