Web Data Collection
Business Intelligence
Internet Search
Credit Card Payment
Financial Information Extraction
Cryptocurrencies
Asset Risk Management
Statistical Analysis
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Recent Projects
iOS and Android Mobile App for Supporting SaaS Platform User Accounts
System: iOS and Android app to allow users of a SaaS platform to enter OTPs remotely
Client: MePATool
Technologies: Apache Cordova, Javascript, Perl
Problem: Users need to provide OTPs to automated processes so they can log in to the target portal.
Solution: When automated processes encounter a request for an OTP a push notification is sent to the users device. The user is able to provide the OTP directly in the app and this is relayed back to the waiting process, which can then proceed.
Assembler's Factory Floor Time-Tracking App
System: Assembler's Factory Floor Time-Tracking App
Client: Whippendell Marine
Technologies: Raku, CRO, Template::Nest, jQuery, CSS, MySQL
Problem: Create an application that interfaces with the company's existing Teamwork-based project management system and enables assemblers to log time spent on jobs - with design according to client spec.
Solution: A set of "Element" modules were created in Raku which inherited from a base module responsible for making calls to the Teamwork API. Syncing of local application data was accomplished with an independent daemon looping over and caching necessary user and project information in a MySQL database. Server-side rendering created dynamic content with Template::Nest, and the front end assembled HTML chunks delivered from the backend with jQuery. The system was designed to be deployed to Android-based tablet as a PWA app.
Stock Price History Pattern Matching Utility
System: Stock price history pattern matching utility
Technologies: Python (asyncio matplotlib mplfinance pandas...)
Problem: Build a system which identifies stocks that are currently in the process of repeating previously observed price history patterns, based on low-high and high-low trend time intervals.
Solution: Our solution involves iterative analysis of a large large database of stocks, gathered from web sources. Price histories are divided into progressively smaller time period bins, with duration labelled the "granularity" of the iteration. The pattern of trends across bins is compared with recent price movements to identify matching segments. We then used a visualisation system based on Japanese "renko" diagrams to depict matches in an easy-to-digest format.
Note this is a bespoke system created upon request; we provided no advice on stock selection methods.
Business Team
Hall of Achievements
Yury Kisurin

Coding Challenge
Marton Papp

Coding Challenge
Abhinav Thakur

Stripes Waypoint
Joel Pacheco

Gauntlet Waypoint
Andrew Bilous

Creativity
Victor Khachatryan
