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Software Development Projects

Get your platform developed by the Robo-Advisor & Auto-Trading world leaders


The Fintech challenge

To be able to benefit from the new Fintech applications, financial institutions need a cost effective development partner experienced in performing quick proof-of-concept, robust development, and scalable, bank grade deployment. 

Tradency software development services are used by Fintech companies and financial institutions looking to adopt the new digital trading services. Tradency is a leading provider of Robo-Advisors and Auto-Trading applications used by millions around the world. For more than a decade, Tradency has integrated its own Fintech application with more than hundred financial institutions. All this vast experience and knowledge is available now for Tradency software development partners.  



Trading Platforms

Professional services by Tradency’s experienced engineering team

Project development

Full tern key project, including development of a complete unique solution, front-end to back-end. Development from scratch or conversion of a monolithic application to high scale micro-service architecture.


Integration project with proprietary protocols, legacy systems or high level API / System such as Open bank API


​Customization of available components to perfectly meet the specific needs of the partner. Apply to infrastructural requirements, API adaptations or GUI special design.  

Hosting & maintenance

Run your product as SaaS with Tradency 24/7 hosting, maintenance and support. 

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Tradency technology


front-end and back-end 

Using latest client frameworks and architectures, with pre-built components like graphs, grids and complex filtering capabilities

Existing financial flow with questionnaires and portfolios selections screens ready to be white labeled

Integrate with any API (Rest, Soap, FIX, COM, etc.), vast financial back-end know-how

Development environment

Mobile & web app

Languages: Go, .net core, Python, Node.js

Advance DB solutions, both for caching and long term storage with high scale systems, include backups, DR plan, and even sharding

Using edge techniques with angulgar6+ , fully customized components and optimizations

Real time applications (sockets, device push messages)

Mobile first development

Full support for all browsers and devices

typescript / ES6 / hybrid applications 

PWA - offline mode, multi thread, responsiveness, image and asset handling, short loading time, SEO adaptation, accessibility guidelines

Micro-services architecture

Running on Kubernetes clusters, both on-prem and on all major cloud providers (AWS, Google cloud, Azure, Digital ocean)

Experience in scale up solutions, from prototype and POC to production grade products (include - monitoring, logging, redundancy, clustering)


Fintech environment

All the needed tools, protocols and components for any type of fintech application or service. FIX, REST API, high speed data distributions system for financial data, trading signals and machine learning algorithms are some of them.


Hybrid physical infrastructure

The flexibility to choose between VM Cloud, bare-metal Cloud, in-premise VM or in-premise Bare-metal allows the financial institution to seamlessly switch between cost benefits and operational benefits of virtual infrastructure to a regulated and secured in-premise infrastructure with optimized cost for high scale deployment.



By using containers technologies, the scalability of any service is guaranteed by the ability to use more computing resources by demand within seconds. Scaling down can be used later to save costs.



All the systems and services communication are secured by default via TLS gRPC connectivity. The orchestration system (Kubernetes) creates secured network (SDN) overlay to support the communication end-points data transfer.



One of the key components of the orchestration system (Kubernetes) is the container scheduler. The scheduler will make sure that in any point of time the desired state of any service will persist in order to maintain the required SLA to insure the robustness of the service.

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