eWallet white label solution
Pre-build eWallet backend Core and Integration layer.

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Integrations we provide
Ultimate guide: Outsourcing financial software development in 2023

Contents
H2Breaking Equity
The stock market has witnessed a huge influx of retail traders and investors over the past two years. The outbreak of COVID-19, free money flooding the global market, and massive promotion of stock trading benefits have all contributed to the growing popularity of handy, user-friendly trading apps. One of the 4IRE clients came with a request to build an algo-trading solution that would simplify user access to stock markets and maximize the earning opportunities for retail market participants. Here is a case study of the 4IRE team’s work on the innovative algo-trading app with extensive customization features.
H3Client’s profile
Breaking Equity is a US-based FinTech startup. It specializes in innovative, automated stock trading solutions for retail and institutional investors. The company was created by three co-founders with in-depth expertise in stock trading with a mission to democratize access to advanced trading tools and strategies. They set up Breaking Equity and united skilled engineers and data scientists under one roof to give individuals the technology previously accessible only to rich hedge funds and financial elites.
H4Client’s Requirements
The client came to 4IRE with a task to create an algo-trading app where users could trade stocks and other stock market assets hassle-free. The app should offer fully automated trading tools, with free and premium marketplace strategies on offer. The second-tier task for 4IRE was the setup of a customized strategy builder based on the past 20 years’ historical trading data
Bussiness challenges
The business challenge faced by 4IRE was to compile a team with the required FinTech expertise in algo-trading. The project required:
- Building an MVP based on one of the co-founder’s specifications.
- Creating an app with functionality for newbies and experienced traders.
- Developing a fully functional prototype for attracting the first users and applying for the first investment seed round.
Implementation
The project was implemented based on the Scrum methodology. The 4IRE team worked closely with one of the company’s co-founders, acting as the Product Owner. The latter set the tasks for sprints, and the team implemented them.
The initial team involved in the app’s development grew to 2 back-end coders, 2 front-end testers, 1 Python developer, 1 DevOps engineer, and 1 project coordinator. The technology involved in project development included Java, React Native, Python, AWS Terraform Lambda, and Spring. Breaking Equity’s CEO was responsible for fundraising and customer service.


Success stories in Revenue Growth Management

We developed a solution to identify KVIs and opmise pricing
- Increased like-to-like revenue by 0.6%
- Increased gross margin by 1.2%

We developed a solution to identify KVIs and opmise pricing
- Increased like-to-like revenue by 0.6%
- Increased gross margin by 1.2%

We developed a solution to identify KVIs and opmise pricing
- Increased like-to-like revenue by 0.6%
- Increased gross margin by 1.2%
Our team
Consultancy team

10+ years in FinTech and Software Development at Mastercard and Bain & Co

10+ years in FinTech and Software Development at Mastercard and Bain & Co

10+ years in FinTech and Software Development at Mastercard and Bain & Co
Consultancy team

10+ years in FinTech and Software Development at Mastercard and Bain & Co
We build AI solutions that deliver business impact
- Identify / narrow down a business problem through a series of interviews
- Assess data and process readiness
- Develop a small-scale proof of concept (POC) – e.g., 2-3 SKUs
- Estimate value from application of AI solution
- Develop and MVP of an AI solution
- Run a pilot to prove / confirm business value
- Develop a roll-out roadmap
- Develop sustainable solution, customizing it based on the users’ feedback
- Develop recommendation on integration of the solution into existing routines