Challenge

In social media feeds, every day we see tons of information. As there are 1,000 financial sources with different newsfeeds and to identify the relevant data we are have to filter data for us. On the other hand, corporate clients and SME business owners look at things differently than average stock marketer. For instance, if one is interested in oil sector, market position and recent ups and downs related to the same industry, then it should be appeared in the order of priority and prominence.

Considering these diversified demands, client wanted us to create CityFALCON, or an all-in-one kind of FinTech product that presents personalized content according to each profile. Use of natural language processing, machine learning and social media are invariably required in this project to fulfil above conditions as it demands artificial intelligence usage.

Solution

Based on the concept of crowd curation, programmers developed a perfect solution that brings Bloomberg at the door of consumers. It provides equal opportunity and equal access to financial information to fundamental investors and amateur traders alike.

With a team of 8 technocrats including financial analysts, we came up with an innovative software platform that resolves all intricacies related to FinTech world. CityFALCON is built on MVP architecture and delivers latest streaming news, 1-10(max) watch lists and you can choose one or more financial assets out of 10,000 – according to your personal taste. These financial assets include stocks, commodities, indices, forex and many others. CityFALCON utilizes Elastic Search and cassandra cluster that responses customized articles in 100 milliseconds essentially fetching from 10 million records.

Team

2

Backend Developers

1

Storage Administrator

1

QA Tester

1

Business Analyst

1

Financial Analyst

1

Digital Marketer

2

UI/UX Developers/Designers

Timeline

December 2016 to Present

Project Results

With more than 1.5 years in existence and translated in 30 languages CityFALCON has been endorsed as a game changing tool by recognized financial entities from many countries. During popular international conferences, CityFALCON’s algorithm score is awarded with 5 stars for its capability of separating fake and low level news from authentic, important contents.

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