Company

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.

System: "SuperGraph" Native Android App

Client: John Adams Ltd.

Technologies: Java, Android, XML

Problem: The app had been removed from the Google Play Store due to a reported stability issue. There were also problems with accessibility of some buttons on smaller screens.

Solution: Several minor fixes were implemented including build parameter and file format updates, and layouts were corrected to make missing buttons visible on smaller screens. Updates were tested on multiple emulators using Android Studio. The app was successfully redeployed to the Google Play Store, and a report produced detailing the changes.

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After:

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.