Client Background

Client: A leading fintech firm in the USA

Industry Type: Finance

Products & Services: Trading, Banking, Financing

Organization Size: 100+

The Problem

• Integrating the Interactive Brokers API with Python.
• Creating a user-friendly desktop application interface.
• Managing concurrent processes and threads.
• Developing the margin calculator with accurate calculations.
• Handling data synchronization between TWS and the application.
• Ensuring security and authentication for TWS access.
• Providing real-time market data to users.
• Maintaining a responsive and reliable application.
• Resolving any potential compatibility issues.
• Ensuring thorough documentation for users

Our Solution

• Leverage Interactive Brokers API documentation and libraries.
• Design an intuitive and responsive PyQT5-based desktop UI.
• Implement threading and preprocessing for concurrent tasks.
• Develop a robust margin calculator algorithm.
• Use data synchronization mechanisms provided by TWS.
• Implement secure authentication for TWS access.
• Utilize the Interactive Brokers API for real-time market data.
• Conduct extensive testing and quality assurance.
• Address compatibility issues through rigorous testing.
• Document every aspect of the project for users and developers.

Solution Architecture

• Interactive Brokers API for live data and trading access.
• Python-based server using Django for APIs and data storage.
• PyQT5-based desktop application for trading dashboard.
• PostgreSQL database for storing relevant data.
• Threading and concurrency management for parallel processes.
• Margin calculator component within the desktop app.
• Integration with Trader Workstation (TWS).
• Real-time market data feeds from TWS.
• Responsive front-end using Bootstrap, HTML, and CSS.
• Detailed documentation for users and developers.

Deliverables

• Project Github Source Code : https://github.com/AjayBidyarthy/Sunil-Misir 

Tech Stack

• Tools used
  • Requests
  • Threading and Multiprocessing
  • PyQT5
• Language/techniques used
  • Python
• Models used
  • Django ORM
• Skills used
  • Python
  • Python Django 
  • Python Django REST Framework
  • PyQT5
  • MultiThreading and MultiProcessing
• Databases used
  • POstgresql
• Web Cloud Servers used
  • None

What are the technical Challenges Faced during Project Execution

• Complex integration with the Interactive Brokers API.
• Designing an efficient and user-friendly desktop interface.
• Coordinating and managing multiple concurrent threads and processes.
• Accurate implementation of the margin calculator.
• Ensuring real-time data synchronization with TWS.
• Handling authentication and security for TWS access.
• Providing timely and reliable market data.
• Resolving compatibility issues on various user machines.
• Optimizing performance for a responsive application.
• Documenting every aspect comprehensively.

How the Technical Challenges were Solved

• Extensive research and consultation of Interactive Brokers API documentation.
• User-centered design principles for the desktop interface.
• Thorough testing and debugging of multi-threading scenarios.
• Careful design and testing of margin calculation algorithms.
• Regular data synchronization checks with TWS.
• Implementation of secure authentication protocols.
• Utilization of Interactive Brokers’ data streaming features.
• Compatibility testing on various configurations.
• Profiling and optimization of code for responsiveness.
• Comprehensive documentation created throughout the development process.

Summarize

Summarized: https://blackcoffer.com/

This project was done by the Blackcoffer Team, a Global IT Consulting firm.

Contact Details

This solution was designed and developed by Blackcoffer Team
Here are my contact details:
Firm Name: Blackcoffer Pvt. Ltd.
Firm Website: www.blackcoffer.com
Firm Address: 4/2, E-Extension, Shaym Vihar Phase 1, New Delhi 110043
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy