Django-based Investment Services Platform (CRM & Trading Integration)
Services Covered:

Industry
Financial Services
Duration
118 months
Budget
200K - 999K
Start Date
1 October 2016
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
81/100
Strong
Project Capability Score (PCS) estimates how capable Django Stars is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
Confidential
Project Summary
Django Stars developed a Django-based web platform for a B2C digital investment/advisory service, building the architecture and infrastructure from scratch. They implemented a CRM-style user database with an API connection to a local trading platform and delivered three frontend parts: a website, onboarding, and an investment platform. The vendor co-created the product from a loose blueprint and remains engaged at a support level while the client finalizes a second iteration.
Key Challenges
- Build a financial advisory platform integrated with a trading platform
- Start development from a very loose blueprint requiring significant co-creation
- Develop the architecture, infrastructure, and CRM/user-database management system from scratch
Project Deliverables
- Web platform
- User database / CRM system
- API integration to a local trading platform
- Website and UX redesign
- Onboarding component and investment platform frontends
Project Solution
The vendor designed and built the product architecture and infrastructure from scratch, using Django/Python for the backend. They developed a CRM-style user database that is updated with market data and portfolio standards and exposed via an API to a local trading platform. On the frontend they delivered three components — a website, an onboarding flow for new customers, and an investment/trading interface — and performed a UX redesign during a concentrated five-person sprint period.
Project Outcome
- The product was co-created and is on the market receiving positive reviews
- The codebase is overall reliable and functional despite occasional bugs that were fixed
- The team provided sprint reports and delivered work aligned with estimates, leading to client satisfaction
Platforms
Web
Tech Stack
Django
Python
REST APIJira
Client Endorsement
Overall Review Rating
4.5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Django Stars co-created the product which is now on the market and receives positive reviews. The project was completed successfully, with good quality code and deliverables.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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