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News Technology
Digital Advisory Business CX Strategy
Mobile Development Technology
Digital Advisory Business
Explore all insights

Featured Insights

A Tough Year Lies Ahead of the Retail Industry

Krzysztof Heyda Digital Product Consultant

Understand Your Customer: Data As One of Your Greatest Assets

Agnieszka Twardosz Content Marketing Specialist Tomasz Woźniak CEO

Error Handling in Mobile App Development

Michał Klimczak Head of Mobile

The Value of Customer Journey Mapping Explained

Miłosz Michałowski-Żuk Customer Experience Manager

KAFTradeclub

We helped Tradewize — a fintech start-up aiming to help you invest better — build their core tool.

Overview

Client

Tradewize’s co-founders started the project because they are passionate about investing. They also think it doesn’t need to be such a mystery, so they wondered if they could bring people together to see for themselves what smart investors are doing.

 

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Goal

To fulfil the founders' vision we aimed to:

  • design a flexible and scalable architecture
  • create a back-end that processes data gathered from financial markets
  • build an intuitive application that presents complex data in a clear way

Thanks to that, Tradewize’s co-founders were able to attract their first client, one of the leading Far East banks, and together we created an application tailored to the client's needs - KAFTradeclub.

Approach

Back-end

The back-end is the core of Tradewize software. We created the REST API, which is used by the mobile app. The API is responsible for providing data from brokerage systems, managing accounts, presenting the current feed, and returning aggregated data.

To build the API, we used the Django framework, which is written in Python. We appreciate it for the built-in functionalities and the speed with which we can write in it. To fill in the application with data, we needed to integrate the software with external data sources and calculate metrics.

We designed an architecture that gives us great flexibility. We can scale the system as needed and also become independent from data sources.

Android App

The challenge for our Android team was to process large portions of data uploaded from the back-end. Based on this data, we created the following functions:

  • rating system — measure the performance of everyone's current investments
  • top investors trading in real-time
  • Moodometer — designed to let you know how people feel about their investments
  • Notifications — alerting you when someone you follow is trading assets or if there is any unusual activity in an investment you own
  • a timeline which enables you to discover things that matter to you — finding top investors, news about stocks, companies, and whole sectors

 

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