Mortgage Case Study

Building a Robust Cryptocurrency Spot Trading Platform

Client Overview

Our client is a forward-looking cryptocurrency exchange seeking to provide a secure and efficient spot trading platform for cryptocurrency enthusiasts and investors. The platform supports a wide range of trading pairs and emphasizes security and real-time data management.

Challenge

The client needed a robust trading platform that could handle a large number of trading pairs, provide real-time data, and ensure the security of user assets through both hot and cold wallets. Additionally, the platform required efficient transaction management and accurate order book maintenance.

Solution

We developed a feature-rich cryptocurrency spot trading platform with the following key components:

  • Frontend Development:

    • Utilised Angular to create a user-friendly and responsive interface that offers an intuitive trading experience.
  • Backend Development:

    • Leveraged Nodejs and Python to build a robust backend that supports real-time data processing and secure transaction management.
    • Integrated Deepstream for real-time data updates, ensuring users have the latest market information.
  • Wallet Management:

    • Implemented both hot and cold wallets to securely store different cryptocurrencies, enhancing asset security.
    • Hot wallets facilitated quick access for trading, while cold wallets provided offline storage for additional security.
  • Order Book and Transaction Management:

    • Developed and maintained accurate order books for tracking trades and market depth.
    • Ensured meticulous record-keeping of all transactions on the platform, providing transparency and reliability.
  • Database Management:

    • Used MySQL and MongoDB to handle structured and unstructured data, ensuring efficient data storage and retrieval.
  • Cloud and Containerization:

    • Deployed the platform on AWS for scalable and reliable cloud services.
    • Utilised Docker for containerization, enabling smooth deployment and management of applications.

Technology Stack

  • Frontend: Angular
  • Backend: Nodejs, Python
  • Real-Time Data: Deepstream
  • Databases: MySQL, MongoDB
  • Cloud Service: AWS
  • Containerization: Docker

Results

  • Enhanced Trading Experience:

    • The user-friendly interface and real-time data updates provided traders with a seamless and efficient trading experience.
  • Increased Security:

    • The implementation of hot and cold wallets significantly enhanced the security of user assets.
  • Reliable Transaction Management:

    • Accurate order books and meticulous transaction record-keeping ensured transparency and trustworthiness.
  • Increased Engagement:

    • The use of AWS and Docker ensured the platform could scale to meet growing user demand while maintaining high reliability